1+ hour, 25+ min ago  (383+ words) Sickle cell disease (SCD) is a major global health burden, and early, accurate diagnosis is critical for effective management. Conventional diagnostic methods are often resource-intensive and inaccessible in high-burden, low-resource settings. Artificial intelligence (AI) and machine learning (ML) technologies have emerged…...

1+ day, 15+ hour ago  (380+ words) Diabetes mellitus (DM) is a serious global health problem due to the large number of people who suffer from it, the complications arising from it, and the significant economic impact associated with it. Early identification of people at risk is essential…...

3+ day, 16+ hour ago  (264+ words) The rapid adoption of digital radiography in dentistry has generated large volumes of imaging data, creating opportunities for artificial intelligence (AI)-based tools to assist in diagnostic interpretation. AI, particularly machine learning and deep learning models, has shown promising applications…...

1+ week, 3+ day ago  (422+ words) Large language model (LLM)-based virtual patients are increasingly used to scale history-taking practice in undergraduate and postgraduate medical education. For clinical simulation, reliability requires not only avoidance of harmful content but also role-consistent case fidelity, dialogue continuity, and adherence to…...

1+ week, 4+ day ago  (296+ words) Introduction Traditional treatment planning for the rotating gamma system (RGS) is a complex and time-consuming process that relies heavily on planner experience. Manual selection of shot size, location, and weight requires extensive trial and error to achieve adequate target coverage…...

2+ week, 1+ day ago  (330+ words) Objective: To evaluate the feasibility of deep learning-based automated segmentation of the facial and vestibulocochlear nerves within the cisternal and intracanalicular segments on high-resolution magnetic resonance imaging. Study design and setting: This was a retrospective imaging study conducted at a…...

2+ week, 3+ day ago  (302+ words) Introduction Large language models (LLMs) are used for biomedical text processing, but decisions are often hard to audit. We evaluated whether enforcing a mechanically checkable quote affects performance for trial eligibility-scope classification from abstracts. Methods We used 200 randomized controlled trials…...

2+ week, 6+ day ago  (321+ words) Background: Electronic health records (EHRs) are increasingly used for clinical research and machine learning, yet they are plagued by missing values, outliers, inconsistent coding, and heterogeneous data types. Traditional rule-based cleaning pipelines demand extensive domain expertise and manual effort. Large…...

3+ week, 4+ day ago  (480+ words) Background Patient-facing large language models (LLMs) are being integrated into patient portals, automated health messaging, psychoeducation, and mental health-related support. Because many deployments are vendor-hosted black boxes that may change without local visibility, health systems need practical quality-assurance methods that…...

3+ week, 6+ day ago  (335+ words) Head and neck cancers (HNCs) present significant challenges in diagnosis, treatment planning, and prognostication due to their heterogeneous nature and anatomical complexity. Artificial intelligence (AI), particularly convolutional neural networks (CNNs), has emerged as a transformative tool for developing clinical decision…...