AI Medical Compendium

A Neural Time-Series Learning Method for Accelerating Free-Energy Perturbation and Rare-Event Molecular Dynamics Simulations.

Journal of chemical information and modeling Feb 25, 2026

Molecular dynamics (MD) simulations are central to materials and drug discovery yet remain computationally demanding, particularly for free-energy perturbation (FEP) protocols and rare-event sampling. Existing sequence-based accelerators, especially ... read more

The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Human reproduction (Oxford, England) Feb 25, 2026

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy of diagnostic services offeri... read more

Artificial Intelligence in Human Genetics.

Annual review of genomics and human genetics Feb 25, 2026

Artificial intelligence (AI) technologies have recently undergone transformative growth in capabilities. In human genetics, AI is rapidly advancing our ability to reveal the effects of genetic variation. This review explores recent progress and remai... read more

Teleophthalmology Programs in Underserved Communities in the United States: A Narrative Review.

Annual review of vision science Feb 25, 2026

Underserved communities in the United States continue to face substantial barriers to accessing eye care, leading to preventable vision loss. This review synthesizes United States-based teleophthalmology programs designed to expand eye care access am... read more

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 25, 2026

Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical outcomes in various cancer subtypes; however, resistance often occurs because these treatments rely on single agents and show limited translational succ... read more

Digital Twins for Biofluids.

Annual review of biomedical engineering Feb 25, 2026

Digital twins-virtual representations dynamically linked to physical systems-have the potential to transform biomedical engineering by enabling real-time prediction, optimization, and personalization in health and disease. In biofluids, digital twins... read more

AI-Enabled Smart Glasses for Active Aging: Scoping Review.

JMIR aging Feb 25, 2026

BACKGROUND: The daily use of digital technologies is transforming the day-to-day lives of older adults. Among these technologies, artificial intelligence-enabled smart glasses have recently emerged, which allow constant interaction with the device it... read more

Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset.

JMIR rehabilitation and assistive technologies Feb 25, 2026

BACKGROUND: The Mini-Mental State Examination (MMSE) remains widely used for cognitive screening, yet its performance varies substantially across educational backgrounds. Linear education corrections fail to capture the nonlinear interference pattern... read more

SPIRE: A 28nm Memory-Efficient Multi-Reservoir LSM Accelerator for Adaptive and Flexible Time-series Classification.

IEEE transactions on biomedical circuits and systems Feb 25, 2026

Spiking Neural Networks are widely studied for their brain-inspired ability to process sequential information, yet their memory limitations often hinder the extraction of long-term dependencies. Reservoir computing, and in particular liquid state mac... read more

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization.

IEEE transactions on pattern analysis and machine intelligence Feb 25, 2026

Interpreting Convolutional Neural Networks (CNNs) is critical for safety-sensitive applications such as healthcare and autonomous systems. Popular visual explanation methods like Grad-CAM use a single convolutional layer, potentially missing multi-sc... read more

Artificial Intelligence Medical Compendium