Artificial Intelligence Medical Compendium

Adolescents in low- and middle-income countries continue to face substantial barriers in accessing effective HIV education, despite global efforts in prevention. This study evaluated the effectiveness of a culturally adapted HIV educational video dev... read more 

Anti-counterfeiting technologies are increasingly challenged by advances in imaging and machine learning, exposing the fundamental limitations of conventional static optical security systems. Here, a time-resolved physically unclonable function (TR-P... read more 

INTRODUCTION: IKZF2 (Helios) maintains the suppressive function of regulatory T cells (Tregs) and is an emerging immuno-oncology target. Its degradation destabilizes Tregs, strengthens antitumor immunity, and may remodel the tumor microenvironment (T... read more 

OBJECTIVE: High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning ... read more 

Bile duct hyperplasia in rodents, caused by chemical cytotoxicity, bile flow interference, or aging, is traditionally assessed through time-consuming microscopic examination by pathologists. We developed a deep learning-based, artificial intelligence... read more 

BACKGROUND: Early recognition of multiple organ dysfunction syndrome (MODS) in the prehospital setting remains challenging and is critical for reducing mortality among critically ill patients. The modified Sequential Organ Failure Assessment (mSOFA) ... read more 

Study DesignRetrospective cohort study.ObjectivesTo develop and internally validate an interpretable machine learning model using preoperative radiographic indicators to predict distal junctional kyphosis (DJK) after surgery for Lenke type 1 or 2 ado... read more 

Background: Overweight, obesity, and type 2 diabetes (T2DM) increase the risk of vascular complications, including retinal vascular alterations. Artificial intelligence (AI)-based retinal screening enables early detection of microvascular damage, pot... read more 

BACKGROUND: Measurements of volatile organic compounds (VOCs) in exhaled air represent a promising noninvasive biomarker modality for gastrointestinal diseases and has potential to enable point-of-care diagnostics. AIM: To evaluate the feasibility of... read more 

The gut virome is a critical component of the microbiome-gut-brain axis; however, its role in irritable bowel syndrome (IBS) remains poorly understood due to limited sample sizes and geographic bias. We aimed to construct a comprehensive global atlas... read more