AI Medical Compendium

Artificial Intelligence and the Potential Transformation of Mental Health.

JAMA psychiatry Jan 14, 2026

IMPORTANCE: The potential of tools using artificial intelligence (AI) to address the many challenges in delivery of mental health care has been widely discussed. However, the possible negative consequences of AI for such care have received less atten... read more

Expectations vs Reality of an Intraoperative Artificial Intelligence Intervention.

JAMA surgery Jan 14, 2026

IMPORTANCE: Having significant gaps between the expectations and reality of artificial intelligence-based programs can be a major barrier to successful implementation. This is the first multisite implementation assessment of gaps between surgeon expe... read more

Interpretable Machine-Learning-Assisted Design of Metal Oxide Catalysts by Decoding Key Descriptors for CO2-Assisted Propane Dehydrogenation.

ACS applied materials & interfaces Jan 14, 2026

The rational design of high-performance catalysts for CO2-assisted propane dehydrogenation (CO2-PDH) is hindered by the complex interplay among catalyst properties, preparation parameters, and reaction conditions. Herein, this study develops an inter... read more

Quantifying the impact of a computer-aided diagnostic score on the clinical diagnosis of functional seizures.

Epilepsia Jan 14, 2026

OBJECTIVE: The diagnosis of functional/dissociative seizures (FDS) without ictal video-electroencephalography is challenging. The Functional/Dissociative Seizures Likelihood Score (FSLS) is a machine learning-based diagnostic score that aims to help ... read more

An AI-guided framework reveals conserved features governing microRNA strand selection.

Nucleic acids research Jan 14, 2026

MicroRNAs (miRNAs) are central regulators of gene expression, yet how cells choose between the two strands (5p or 3p) of a miRNA duplex during biogenesis remains unresolved. Here, we present a comprehensive, experimentally grounded framework that dec... read more

Using Machine Learning to Predict Cochlear Implant Outcomes.

Audiology & neuro-otology Jan 14, 2026

INTRODUCTION: Cochlear implant outcomes vary widely and are difficult to predict, with traditional methods explaining <20% of variance. This study tested whether machine learning approaches offer superior performance predicting outcomes and better id... read more

Medical Microwave Imaging Using Physics-Guided Deep Learning Part 2: The Inverse Solver.

IEEE transactions on medical imaging Jan 14, 2026

Deep learning has the potential to address the bottleneck of conventional medical microwave tomography, which is ill-posed and has a high computation cost. However, current physics-guided deep learning methods may fail to capture the imaged object's ... read more

VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors.

IEEE transactions on pattern analysis and machine intelligence Jan 14, 2026

Unsigned distance functions (UDFs) have been a vital representation for open surfaces. With different differentiable renderers, current methods are able to train neural networks to infer a UDF by minimizing the rendering errors with the UDF to the mu... read more

Consistency-Aware Spot-Guided Transformer for Accurate and Versatile Point Cloud Registration.

IEEE transactions on pattern analysis and machine intelligence Jan 14, 2026

Deep learning-based feature matching has showcased great superiority for point cloud registration. While coarse-to-fine matching architectures are prevalent, they typically perform sparse and geometrically inconsistent coarse matching. This forces th... read more

EnsDTI: Predicting Drug-Target Interaction with Mixture-of-Experts and Confidence Assessment.

IEEE transactions on computational biology and bioinformatics Jan 14, 2026

Accurately identifying drug-target interactions (DTIs) is a critical step in drug discovery. While structure-based drug design methods demonstrate impressive docking prediction accuracy, their heavy computational demands and resource intensive nature... read more

Artificial Intelligence Medical Compendium