JOSEPH DEVERELL BIANCHI, M.D.

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This study focused on improving the diagnosis of breathing problems caused by enlarged adenoids using advanced technology. Researchers developed a new automated tool that analyzes 3D images from cone-beam CT scans, achieving an accuracy of about 82% in recognizing enlarged adenoids and predicting how much they block the airway. This is important because better, faster diagnosis can lead to more effective treatments and better health outcomes for patients experiencing breathing issues. Who this helps: This benefits patients, especially children with breathing problems due to enlarged adenoids.

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This study looked at how a treatment called nasoalveolar molding (NAM) affects the shape of the mouth in babies born with a type of cleft lip and palate on one side. Researchers analyzed 66 patients and found that NAM treatment led to a decrease of about 5.2 mm in cleft width and notable changes in the shape of the mouth—showing that the treatment makes a significant difference before surgery. These findings matter because they can help improve surgical results for these patients by better aligning the structures of the mouth. Who this helps: This helps infants with unilateral cleft lip and palate and their families.

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This study looked at a new software called InVivo7 that uses artificial intelligence to help identify important features in 3D dental and facial scans. The results showed that the software could accurately identify these features, with reliable verification from skilled professionals, enhancing orthodontic diagnosis, and treatment evaluations. This matters because it means dentists and orthodontists can work more quickly and accurately, improving patient care. Who this helps: This helps patients and orthodontists by making treatment planning more efficient and precise.

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This research reviewed how artificial intelligence (AI) can improve clinical decision-making in orthodontics, particularly through the analysis of X-ray images. It looked at 12 studies and found that AI models were especially effective in diagnosing and planning treatment for conditions like temporomandibular joint arthritis, obstructive sleep apnea, and determining skeletal development. Using AI in orthodontics could make treatment more accurate and tailored to individual needs. Who this helps: This benefits orthodontic patients and their doctors.

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This study looked at how people discuss mental health topics like anxiety, depression, bipolar disorder, and borderline personality disorder on Reddit. Using advanced technology, the researchers classified posts from specific subreddit communities and found that their models correctly identified conversations with an accuracy of 82%, highlighting unique language patterns for each condition. This matters because it helps mental health professionals understand how these topics are talked about online, which can lead to better support and awareness for users seeking help. Who this helps: This benefits patients and mental health professionals by improving online community support.

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This study examined how well an automated artificial intelligence (AI) system can track facial changes in growing patients undergoing treatment compared to traditional methods. Researchers looked at 22 patients and found that the AI system showed reliable measurements, with differences generally being less than 1.5 mm, making it a fast and precise way to assess treatment progress. This is important because it streamlines the process for doctors and can lead to better planning and results for patients. Who this helps: Patients undergoing orthodontic treatment and their doctors.

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This study looked at the physical health markers of people with mental disorders like anxiety, depression, and bipolar disorder, comparing them with healthy individuals. Researchers found that people with anxiety and depression had higher body weights and significant levels of inflammation, while those with bipolar disorder showed increased heart-related biomarkers. These differences hint at a connection between mental health and physical well-being, highlighting the importance of addressing both in treatment. Who this helps: This research benefits patients with mental health disorders by supporting more personalized treatment approaches.

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This study looked at changes in the jawbone of 17 young adults with a specific dental issue (skeletal Class III malocclusion) after they underwent two-jaw surgery. The results showed that, on average, the bones changed by less than 1 millimeter, but there was notable bone loss at the upper part of the jaw joint and growth at its side. Understanding these specific patterns is crucial because it can help improve surgical planning and potentially prevent complications after surgery. Who this helps: This research benefits patients undergoing orthognathic surgery and the doctors performing these procedures.

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This study introduces AtomDB, a free Python library that helps users access and work with data about atoms and molecules. It provides tools to analyze and calculate different properties of atomic species, including both neutral and charged ones, using a detailed database. The library is user-friendly and built to be easily maintained, making it a valuable resource for researchers in various fields. Who this helps: This benefits researchers and scientists working with atomic and molecular data.

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This study developed a new artificial intelligence (AI) tool that helps doctors analyze scans of children's airways to see how blocked they are due to swollen adenoids. By looking at 400 scans of kids aged 5 to 18, the AI showed strong accuracy in identifying the severity of obstructions, with scores as high as 0.94 for the most severe cases. This is important because it provides a reliable and clear way for doctors to assess airway blockages, which can improve diagnosis and treatment for affected children. Who this helps: This helps patients, especially children with breathing issues related to adenoid hypertrophy, and their doctors.

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The study looked at how well different cleaning solutions can kill bacteria and change the color of clear orthodontic aligners (like Invisalign). They tested seven cleaning agents and found that all of them, except distilled water, were effective in reducing harmful bacteria, particularly the bacteria responsible for tooth decay, known as S. mutans. After 14 days, some solutions, such as sodium hypochlorite, sodium bicarbonate, and chlorhexidine, not only reduced bacteria but also significantly changed the color of the aligners. Who this helps: This research is beneficial for orthodontic patients who use clear aligners and want to keep them clean and effective.

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This research paper looks at how generative artificial intelligence (genAI) can be used in dental education, examining its benefits and the challenges that come with it. The study found that genAI tools help with tasks like content creation and exam preparation, showing potential for improving teaching and learning experiences, but also highlighted issues like misinformation and ethical concerns. These findings matter because they indicate that when used properly, genAI can enhance education in dentistry, but it requires attention to guidelines and oversight. Who this helps: This helps dental students, educators, and academic institutions.

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This study looked at how certain biological markers relate to mental health issues like depression and anxiety, which affect over 580 million people worldwide. Researchers found that vitamin D and other biomarkers were particularly important in predicting depression and anxiety symptoms, with differences between men and women. For men, vitamin D and CRP were key for depression, while IL-6 and vitamin D were significant for women. Understanding these relationships may lead to better treatments for mental health conditions. Who this helps: This helps patients struggling with depression and anxiety by guiding more personalized treatment options.

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This study looked at how to improve the diagnosis of osteoarthritis (OA) in the jaw joint (temporomandibular joint or TMJ) by using a mix of imaging, blood, and saliva tests alongside clinical assessments. Researchers evaluated data from 162 people, half with OA and half without, finding that their machine learning model was able to accurately diagnose OA 83% of the time. Understanding these early signs and causes of OA matters because it allows for earlier intervention and more personalized treatment strategies. Who this helps: Patients with osteoarthritis, especially those experiencing early symptoms.

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This study looked at two types of devices used to widen the upper jaw in older patients: custom 3D-printed mini-implant systems and traditional ones. It found that the custom devices led to greater jaw width increases, with trends suggesting they might be more successful at correcting jaw alignment issues. This matters because it highlights a more effective treatment option for orthodontic correction in older patients. Who this helps: Older patients needing jaw expansion.

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This study explored a new artificial intelligence tool called MR2CBCT, which helps combine two types of medical images—MRI and CBCT. By using this AI method on five cases, researchers found that it significantly improved the accuracy of image alignment compared to traditional manual methods, resulting in clearer images that support better diagnosis. This is important because accurate TMJ assessment can lead to better treatment options for patients. Who this helps: This helps patients suffering from jaw issues and the doctors treating them.

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This study examined inflammation in patients with heart disease and diabetes to understand how these conditions affect one another. It found three different groups of patients: one group had low inflammation and low heart disease occurrence, another had high heart disease rates but low levels of a common inflammatory marker, and the third had the highest inflammation and comorbidity rates. These results are important because they show that inflammation varies among patients and suggest that treatments should be tailored based on these differences to improve patient care. Who this helps: Patients with cardiovascular disease and type 2 diabetes.

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This study looked at how well an artificial intelligence tool called Elicit can extract data from medical trials compared to human reviewers. It found that Elicit did well overall, capturing more information in 29.3% of cases, but it also provided incomplete details for complicated data points, like the effects of treatments. This matters because while Elicit can make the data extraction process faster, human oversight is needed to ensure everything is accurate and complete. Who this helps: This helps researchers and healthcare professionals by streamlining the data extraction process while still ensuring quality and accuracy.

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This study looked at people who had not been diagnosed with depression but showed signs of it on a questionnaire. Out of 434 volunteers, about 12.9% had undiagnosed depression, with 6.12% in severe condition. The researchers found that high levels of certain inflammatory markers like TNF-α were common in these individuals, especially in those with severe depression. Recognizing these markers could help improve diagnosis and treatment of depression, which affects millions worldwide. Who this helps: Patients dealing with unrecognized depression and healthcare providers looking for better diagnostic methods.

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This study looked at how different types of dental devices (called Herbst appliances) affect the throat airway in growing children with a specific dental condition. Researchers compared two groups: one using devices anchored to teeth and the other anchored to the jawbone. They found that both methods improved airway size, with the jawbone method showing better outcomes in terms of airway volume and length, with increases of around 15% to 20% in various measurements. Who this helps: This benefits children with Class II malocclusion and their orthodontists.

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This study looked at how indexed left atrial volume (ILAV) can help predict serious problems in patients with chronic obstructive pulmonary disease (COPD). Researchers followed 228 patients for a year and found that an ILAV greater than 36.5 ml/m² accurately identified those at risk of being hospitalized due to exacerbations, showing 100% sensitivity and 70% specificity. This matters because it helps doctors identify which patients may need more intensive care to improve their health and reduce complications. Who this helps: Patients with COPD and their healthcare providers.

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At the 10th COAST conference, experts gathered to discuss how artificial intelligence (AI) and new biomedical technologies are changing orthodontic care to better meet individual patient needs. Key topics included using AI for clinical decisions, advancements in treatment approaches, and innovations like 3D printing. The conference highlighted the importance of integrating technology with traditional clinical methods to improve patient care while addressing challenges related to ethical use and validation of these new tools. Who this helps: This helps patients needing orthodontic and craniofacial treatment.

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This study looked at how well an artificial intelligence (AI) tool can analyze 3D images of impacted canine teeth, which are teeth that haven't grown in properly. Researchers analyzed 228 patient scans and found that the AI tool accurately identified the position of 316 impacted canines with a success rate of 96.2%. The findings show that using AI not only improves diagnosis but also helps doctors better explain treatment options to patients, making for more informed decisions. Who this helps: Patients with impacted canine teeth and their doctors.

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This study looked at whether a surgical technique called piezocision can speed up tooth movement during orthodontic treatment. Researchers compared 19 patients who had piezocision with 19 who did not and found that both groups took about the same time for treatment, around 13 months, and had similar tooth movements overall. However, the piezocision group showed slightly more angulation in one specific tooth but less rotational movement than the control group, indicating that piezocision didn't significantly change the treatment dynamics. Who this helps: This research benefits orthodontic patients considering piezocision as part of their treatment plan.

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This study looked at how well jaw surgery to fix a Class III bite issue holds up over time when orthodontists and surgeons work closely together in virtual planning. Researchers followed 17 patients for 12-18 months after surgery and found that the maxilla (upper jaw) moved forward less than expected by about 1.8 mm, while the lower jaw remained stable with no significant changes. This is important because it shows that tailored virtual planning can result in accurate surgical outcomes, which is crucial for achieving the best results for patients. Who this helps: This helps patients undergoing jaw surgery and their orthodontists.

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This study looked at a new method called the Lanarkshire Oximetry Index (LOI) for assessing blood flow in patients with leg ulcers and compared it to the traditional Ankle Brachial Pressure Index (ABPI). The researchers found that the LOI accurately identifies high-risk patients 52% of the time and correctly identifies low-risk patients 96% of the time. This matters because improved access to vascular assessments could lead to better treatment for patients who often miss out on necessary evaluations. Who this helps: This benefits patients with leg ulcers and their healthcare providers.

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This study focused on improving the prediction of how temporomandibular joint osteoarthritis (TMJ OA) progresses in individual patients. Researchers followed 106 patients for 2 to 3 years and developed a new tool that accurately predicts disease outcomes, achieving an accuracy of 87% and helping identify specific factors that influence recovery. This is important because it allows doctors to better tailor treatments based on the unique characteristics of each patient, ultimately enhancing their care. Who this helps: This helps patients with TMJ OA and their doctors.

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This study looked at two types of jaw surgeries called maxillary osteotomies—one using three pieces and the other using one piece—to see how stable each method is after surgery. Researchers found that while the three-piece surgery caused noticeable changes right after the operation, both surgery methods showed similar stability over time, with only very tiny differences measured (0.05 mm and -0.39 mm). This matters because choosing between these two methods won't affect how stable the jaw is after recovery. Who this helps: This helps patients needing jaw surgery and their doctors in making informed decisions about which surgical option to choose.

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This study examined how well artificial intelligence (AI) can predict whether patients need orthognathic surgery or just orthodontic treatment. Researchers analyzed 920 X-rays from patients and tested various machine learning models to see which could most accurately determine treatment needs. They found that the best model achieved accuracy rates of about 70.7% overall, with higher accuracy (82.2%) for Class III patients, which could help doctors make better decisions about treatment options. Who this helps: This helps orthodontists and oral surgeons in deciding the best treatment for their patients.

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This study looked at the level of protection against rubella among adults in Florence, Italy, by testing blood samples from 430 people. Overall, 92.3% of those tested had antibodies against the virus, which means they are protected, but the study found that 7.0% of women aged 40-49 are still at risk. This matters because even with high vaccination rates, some groups may remain vulnerable, highlighting the need for ongoing immunization and public health efforts to keep rubella under control. Who this helps: This helps women of childbearing age and public health officials working on vaccination programs.

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The study introduced ShapeAXI, a new system designed to analyze 3D shapes, like bones, by viewing them from different angles. It successfully classified bone shapes into healthy and unhealthy categories in one experiment, and in another, it sorted shapes from CT scans of cleft patients into four levels of severity. This research is important because it improves our understanding of bone conditions and cleft palates, which can lead to better treatment options for patients. Who this helps: This helps patients with bone conditions and cleft lip/palate as well as their doctors.

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This study looked at how different bends in a type of orthodontic spring, called Memory Titanol®, affect the forces it generates when straightening teeth. The researchers tested three different bends and found that the springs created varying levels of force: for example, the least bend (Group 1) produced a stronger upward force on molars (-1.33 N) compared to greater bends, while the strongest bend (Group 3) resulted in a downward force (0.33 N). Understanding these forces is important as it helps orthodontists choose the right spring configuration to effectively guide teeth into better positions. Who this helps: This study benefits orthodontists and their patients who need braces.

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This study looked at hamstring injuries in NFL players over a 12-year period from 2008 to 2020 to understand how often they happen, how long players take to recover, and the likelihood of getting injured again. Researchers found that 2101 hamstring injuries occurred in 1354 players, with one-third (442 players) experiencing a reinjury, typically within the same season. The average recovery time for these injuries was about 2.4 weeks, and injury rates varied widely among teams, from 0.6% to 5.7%. Who this helps: This information is crucial for patients (NFL players) and their teams to improve recovery strategies and minimize injury risks.

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This study looked at microplastics in three different seawater areas in Italy to find out how much is there and where it is located. Researchers found a total of 6,069 microplastics, with an average concentration of 0.029 microplastics per meter, noting that more microplastics were found closer to the shore and that the amount on the surface was nearly four times greater than those underneath. This research highlights the need for actions to reduce plastic waste in our oceans to protect marine life and ecosystems. Who this helps: This benefits environmental scientists, marine biologists, and policy-makers focused on ocean preservation.

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This study looked at the common problems patients experience after total temporomandibular joint (TMJ) replacement surgery. The researchers found that the most frequent issue was facial nerve paralysis, occurring in about 7.8% of patients, followed by changes in sensation (1.8%), abnormal bone growth (1.0%), and infections (0.7%). These findings are important because they show that while complications can occur, they are generally rare and often manageable. Who this helps: This helps patients considering TMJ replacement surgery and their doctors.

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This study looked at how certain health features can predict the progression of Temporomandibular Joint (TMJ) osteoarthritis in patients. Researchers analyzed data from 32 patients with TMJ osteoarthritis and 38 healthy individuals, identifying key factors such as headaches, lower back pain, and specific imaging results that could indicate worse outcomes. The best model they developed was able to predict the disease's worsening with high accuracy, achieving a score of 0.92 out of 1.0, which means it is very reliable for determining which patients are at greater risk for severe TMJ issues. Who this helps: This helps patients suffering from TMJ osteoarthritis and their doctors by providing better predictions for disease progression.

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This study developed a computer program called ALICBCT that automatically finds important reference points in 3D medical images called cone-beam computed tomography (CBCT) scans. The program achieved a high accuracy of about 1.54 millimeters in identifying these points, which are crucial for measuring changes in bones and teeth, while only taking about 4.2 seconds to process each scan. This advancement is significant because it helps speed up the analysis of dental and bone scans, making it easier for healthcare providers to track patients' conditions. Who this helps: Patients and doctors involved in dental care and orthodontics.

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This study focused on using a 3D imaging system to better understand and treat impacted canine teeth in patients. Researchers analyzed 83 patients with 120 impacted canines and found that a new severity index, which measures how severely the impacted tooth affects neighboring teeth, averaged about 4.5 out of 13. The 3D imaging was particularly valuable in making more informed decisions about whether to treat the tooth with exposure and traction or to extract it, changing treatment plans in 22% of cases. Who this helps: This benefits dentists and orthodontists treating patients with impacted canines.

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This study compared two treatments for improving the airway in people with sleep apnea: a mandibular advancement device (MAD) and maxillomandibular advancement surgery (MMA). The results showed that while both treatments significantly increased the volume of the upper airway, MMA was more effective, especially in the lower part of the airway. For instance, those who underwent MMA had a significant gain in inferior airway volume, while the MAD did not show this improvement, and the way the jaw moved differed between the two treatments. Who this helps: This research benefits patients with sleep apnea by providing insights into which treatment may offer better airway improvements.

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This study looked at how clear aligners can help two growing children with a specific type of bite issue called Class II malocclusion. After treatment, both patients showed significant improvements; their lower jaws moved forward and down, which corrected their bite and also changed the position of their teeth for better alignment. This is important because it demonstrates that clear aligners can effectively treat this condition in young patients, improving both their dental health and facial appearance. Who this helps: This benefits children with Class II malocclusion and their orthodontists.

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This study looked at how to improve the assessment of bone defects in patients with cleft lip and palate (CLP) using advanced artificial intelligence. Researchers tested their new AI classification system on 194 patients and found it to be very accurate, with scores showing about 82% precision in identifying the severity of bone defects. This work is significant because it can help doctors better understand the severity of bone issues, leading to improved treatment for patients. Who this helps: This helps patients with cleft lip and palate and their doctors.

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This study developed a new computer method to automatically identify and outline the shapes of teeth and dental crowns using 3D scans. The technique showed excellent performance, achieving a 0.97 score for accuracy and over 98% for sensitivity and precision, meaning it was very effective at correctly identifying dental surfaces. This is important because it can make dental imaging faster and more accurate, improving care for patients needing dental work. Who this helps: Dentists and patients needing dental treatments.

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This study created a computer model to help diagnose Temporomandibular Joint Osteoarthritis (TMJ OA) by using both medical images and clinical information. The researchers found that using a combination of clinical features and imaging data made the diagnosis more accurate, achieving a score of 0.81 for overall performance and 0.79 and 0.77 for correctly identifying cases and avoiding false alarms. This matters because it means doctors can rely on this model to make better diagnoses without needing extra biological tests. Who this helps: This helps patients and doctors in diagnosing TMJ OA more effectively.

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This study looked at new tools that automatically organize and align 3D dental images, making it easier for doctors to analyze them for diagnoses and treatment planning. The tools were found to be very accurate, with less than 3 degrees of error in positioning and less than 2mm in distance when checked against expert clinicians. This is significant because it speeds up the process of analyzing images to help track patient growth and treatment effects, taking less than 5 minutes to complete. Who this helps: This benefits doctors and dental professionals working with patient imaging and treatment planning.

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This study focused on developing a new tool that quickly and accurately identifies different structures in skull images from cone-beam computed tomography scans. The tool can process a full-face image in about 5 minutes, whereas this job typically takes experienced doctors around 7 hours. The researchers tested their tool on 618 images and achieved a high accuracy score, indicating it works well across various conditions. Who this helps: This benefits doctors, particularly in dental and medical fields, by making their work faster and more efficient.

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This paper studied how three-dimensional digital tools, including advanced imaging and modeling software, can improve the planning of dental implants in orthodontics. It found that using these tools allows for more precise treatment planning by considering factors like bone quality and the positioning of nearby teeth, which leads to better outcomes for patients. For example, the paper highlights various software options that can significantly streamline the assessment and visualization process, making personalized treatment more effective. Who this helps: This research benefits orthodontic patients and their doctors by enabling more tailored and effective treatment plans.

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This study looked at how advanced imaging techniques can help identify early signs of temporomandibular joint osteoarthritis (TMJ OA) by analyzing bone and joint space changes. Researchers examined 92 patients and found that those with TMJ OA had a significantly smaller distance between the condyle and fossa compared to healthy individuals. The study demonstrated that a machine learning model could accurately diagnose TMJ OA with an impressive success rate (AUC 0.842) by utilizing various health indicators, including headaches and pain during mouth opening. Who this helps: This research benefits patients suffering from TMJ OA by leading to earlier detection and better management of their condition.

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This study looked at how well a computer model could predict osteoarthritis in the jaw joint (TMJ OA) using detailed scan images and biomarker data. Researchers found that their model performed better than a simpler one, even when some of the data wasn't perfect. Specifically, certain features related to the joint's appearance were key to making accurate predictions. Who this helps: This benefits doctors and patients by improving early detection of TMJ osteoarthritis.