Artificial Intelligence Medical Compendium

PURPOSE: Artificial intelligence (AI) chatbots are increasingly used by dental students and faculty for literature review, coursework preparation, and scholarly writing. In restorative dentistry education, where evidence-based decision-making is fund... read more 

Parents of children with chronic illness seek health information from online sources, but little is known about this work in Asian family caregiving and with new generative artificial intelligence (AI) technologies. To explore how parents seek, evalu... read more 

Wearable glucose sensors enable continuous monitoring of glycemic dynamics, yet their clinical utility is constrained by signal instability, physiological delay, and limited predictive capability. Artificial intelligence (AI) has been increasingly in... read more 

Artificial intelligence-generated image-based sexual abuse (AI-IBSA), colloquially known as "sexual deepfakes," includes the non-consensual creation and/or sharing of intimate images generated by and/or modified using artificial intelligence ("AI-IBS... read more 

BackgroundInadequate or misleading health information about silicosis can delay diagnosis, reporting, and exposure removal, potentially affecting risk communication and timely occupational health interventions.ObjectiveThis study evaluates the reliab... read more 

BACKGROUND: Low-dose computerized tomography (LDCT) is the gold standard for lung cancer (LC) screening, but access is hindered by strict eligibility criteria and limited infrastructure in low/middle-income countries. A combination of approaches, inc... read more 

Interfacial electronic coupling plays a decisive role in governing excited-state evolution and signal transduction in optoelectronic systems, yet dynamically adaptive interfaces driven by valence-state evolution remain largely unexplored in fluoresce... read more 

Alzheimer's Disease (AD) is a prevalent neurodegenerative disorder characterized by progressive cognitive decline, and its early diagnosis is vital for timely intervention. However, most existing EEG-based diagnostic methods rely on multi-channel dev... read more 

BACKGROUND: Artificial intelligence (AI)/machine learning (ML) are poised to transform transfusion medicine across the vein-to-vein continuum, from donor recruitment to recipient outcomes. Large datasets generated from millions of donations and trans... read more 

BACKGROUND: Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent check on what is on... read more