AI Medical Compendium

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

Journal of the American Medical Informatics Association : JAMIA Feb 10, 2026

OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies provide an avenue for mitigating this bias through incorporating causal insights from community stakehol... read more

Machine Learning and Autonomous Systems for Accelerated Synthesis.

Annual review of analytical chemistry (Palo Alto, Calif.) Feb 10, 2026

Autonomous systems integrating machine learning (ML) and laboratory automation are transforming synthetic chemistry by enabling closed-loop experimentation and discovery. In this review, we examine the state-of-the-art in autonomous systems for organ... read more

Teravoxel Microscopy Image Analysis for Neurological Diseases.

Annual review of biomedical engineering Feb 10, 2026

Light-sheet fluorescence microscopy (LSFM) has emerged as a revolutionary imaging modality for investigating intact three-dimensional brain structures at the teravoxel scale. In parallel, high-throughput computational methods, especially deep learnin... read more

Systems Biology of Aging, Metabolism, and Mitochondria.

Annual review of biophysics Feb 10, 2026

Since the beginning of this century, the emergence of systems biology, driven by technological, informatic, and theoretical advances, has led to an unprecedented generation of data and information about biological systems at multiple levels of organi... read more

Artificial Intelligence to Support Human-Provided Mental Health Treatment.

Annual review of clinical psychology Feb 10, 2026

Mental health disorders are some of the greatest contributors to the global disease burden, and healthcare systems are struggling to provide scalable care of high quality. Artificial intelligence (AI)-based tools and applications are some of the most... read more

Reply: Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.

Hepatology (Baltimore, Md.) Feb 10, 2026

Smartphone-Based Portable Slit Lamp in Anterior Segment Diseases: A Narrative Review of Clinical Assessment and Integration with Artificial Intelligence.

Ophthalmology and therapy Feb 10, 2026

Smartphone-based portable slit lamps are rapidly evolving from simple add-ons into practical, low-cost front-line tools for anterior segment care beyond traditional clinical settings. By integrating high-performance smartphone cameras with compact op... read more

Improved schizophrenia detection using structural MRI with multi-scale transform and deep orthogonal features.

Physical and engineering sciences in medicine Feb 10, 2026

Artificial intelligence-derived transition zone PSA density as a triage tool to reduce unnecessary prostate systematic biopsies in MRI-negative men.

Insights into imaging Feb 10, 2026

OBJECTIVES: The study aimed to assess the predictive performance of transition zone PSA density (TZ-PSAD) compared to conventional PSA density (PSAD) in detecting clinically significant prostate cancer (csPCa) among patients with negative pre-biopsy ... read more

Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.

Inflammation Feb 10, 2026

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal inflammation. While fibroblasts contribute to tissue repair and fibrosis, their role in UC pathogenesis remains incompletely understood. Single-cell R... read more

Artificial Intelligence Medical Compendium