AI Medical Compendium

Identification and Validation of the Breast Cancer Diagnostic Biomarker SVEP1 and Its Relationship With CD8 + T Cell Activation Using Bioinformatics and Machine Learning.

Applied biochemistry and biotechnology Apr 2, 2026

Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.

Dermatology and therapy Apr 2, 2026

Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) radiation, air pollution, psychosocial stress, fatigue, sleep disruption, and suboptimal lifestyle beha... read more

The Utility of Machine Learning-Enhanced Developmental Cascade Models in Prevention Science.

Prevention science : the official journal of the Society for Prevention Research Apr 2, 2026

Developmental cascade models provide a valuable framework for understanding how risk and protective factors interact over time to shape health and behavioral outcomes. Traditional statistical methods, such as logistic regression and structural equati... read more

Paradigm shift in medicine and in clinical reasoning method: time has come for a new chest semiotics.

Multidisciplinary respiratory medicine Apr 2, 2026

INTRODUCTION: Clinical reasoning in medicine is a complex cognitive process that integrates sensory perception, interpretation, and abductive inference to develop diagnostic hypotheses. Despite the rise of artificial intelligence, the patient-clinici... read more

Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening.

JAMA ophthalmology Apr 2, 2026

IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid missed treatment-requiring disease, but this approach is burdensome for infants, families, and health systems. Whether precision risk models could reduce e... read more

Physician Gestalt Compared With Artificial Intelligence Model to Predict Intubation in Critically Ill Patients.

Critical care explorations Apr 2, 2026

IMPORTANCE: Accurate prediction of intubation in critically ill patients could enable interventions that improve patient outcomes. However, the performance of intensive care physicians compared with machine learning (ML) models remains unknown. OBJEC... read more

Artificial Intelligence in Health Professions Education: Qualitative Study of Student Experiences.

Journal of medical Internet research Apr 2, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and health care, raising questions about how students use these technologies and how AI influences their learning. In health education, understanding these trends is p... read more

TFP-Net: A temporal-feature-prototypical network for CRM optimization and cold-start mitigation.

PloS one Apr 2, 2026

With the continuous growth of user behavior data on e-commerce platforms, effectively predicting user behavior, providing personalized product recommendations, and addressing the cold-start problem have become key challenges in recommendation systems... read more

Designing life science assessments in the era of generative artificial intelligence.

PloS one Apr 2, 2026

Generative artificial intelligence (GAI) algorithms have the potential to reshape education. Though GAI may help democratize access to education, it also presents many challenges for educators. Already, the ease of use of GAI has made it easier for s... read more

Quantum Convolutional Neural Networks: A Survey on Architectures, Applications, and Future Directions.

IEEE transactions on neural networks and learning systems Apr 2, 2026

Quantum convolutional neural networks (QCNNs) are a highly appealing architecture that combines quantum computing and deep learning. Inspired by classical convolutional neural network (CNN) hierarchical feature extraction, QCNNs use quantum operation... read more

Artificial Intelligence Medical Compendium