Artificial Intelligence Medical Compendium

The current gold standard treatment for Hoarding Disorder (HD) is cognitive behavioral therapy (CBT). However, typical symptom reduction is 25% and only about one third of individuals achieve a clinically meaningful response. We used machine learning... read more 

Quantum materials offer a powerful platform for exploring emergent condensed matter phenomena and developing functional devices, owing to their tunable electronic structures, quasiparticle excitations and collective quantum effects. Layered superlatt... read more 

BACKGROUND: Mental health disorders are associated with substantial morbidity and death in cardiovascular disease, yet their role in perioperative risk stratification remains unclear in patients undergoing cardiothoracic surgery. We evaluated how men... read more 

Endometriosis affects approximately one in 10 women and people assigned female at birth of reproductive age, yet diagnosis is still delayed by years, historically because confirmation required laparoscopy. This review synthesizes which non-invasive t... read more 

Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Given the intricate anatomy and functional complexity of the hand, AI applications in hand pathology are gaining prominence, particularly in the diagnosi... read more 

BACKGROUND: Walking ability is the priority for spinal cord injury (SCI) patients. Nontraumatic SCI (NTSCI) is increasing with aging populations, yet its prognosis remains understudied. Early predictionF using admission clinical indicators could faci... read more 

BACKGROUND: Identifying people with at-risk metabolic dysfunction-associated steatohepatitis (MASH) is a major challenge. We aimed to use deep learning to develop a convolutional neural network (CNN) model to facilitate the detection of at-risk MASH.... read more 

Chewing is a fundamental orofacial function closely related to nutrition, digestion, and quality of life, yet current assessment methods generally rely on indirect signals or endpoint measurements and provide limited process-level information. Here, ... read more 

Longitudinal data analysis in social and behavioral sciences often assumes a linear change over time, but human behavior is complex and frequently exhibits nonlinear patterns. Regression spline is a popular approach in machine learning to model nonli... read more 

Dual-energy computed tomography (DECT) pulmonary angiography (CTPA) is widely studied for pulmonary embolism (PE) evaluation, but heterogeneity in protocols, platforms, and study designs complicates its clinical positioning. This narrative review, wi... read more