AI Medical Compendium

DEEP Phaser: A Deep Learning Tandem Vision Transformer for Fully Automated NMR Phase Correction.

The journal of physical chemistry letters May 4, 2026

Although phase correction is one of the most routine steps in NMR data processing, even the best available automated approaches often require manual adjustments by human experts. A deep learning-based phase correction algorithm is presented as a tand... read more

Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model-Generated Patient Information in Geriatrics: Cross-Condition Study.

JMIR AI May 4, 2026

BACKGROUND: Large language models (LLMs) are increasingly used to generate patient-oriented medical information. In geriatrics, such information must balance accuracy, relevance, and safety, as older adults may be particularly susceptible to misleadi... read more

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.

JMIR research protocols May 4, 2026

BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients' risk of this serious health o... read more

A cross-modal network for facial expression recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 4, 2026

Deep neural networks enriched with structural information have been widely employed for facial expression recognition tasks. However, these methods often depend on hierarchical information rather than face property to finish expression recognition. I... read more

EyeKey: Self-Supervised Keypoint Detection and Description Network Based on Local Feature Saliency for Retinal Image Global Registration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 4, 2026

Retinal image registration (RIR) plays an important role in the diagnosis and long-term monitoring of retinal diseases. Retinal image global registration (RIGR) is usually the first step of RIR. Traditional methods often struggle to achieve robust ke... read more

Topology-Preserving Deep Hashing for Ultrafast Drone-Dominated Object Detection.

IEEE transactions on neural networks and learning systems May 4, 2026

Drone (or unmanned aerial vehicle) has been extensively applied in many modern artificial intelligence systems in the past decade. In this work, we propose a novel deep hashing framework that can detect objects from drone-captured pictures extremely ... read more

Breaking the Black Box: Interpretable AI Achieves Superior Hemorrhage Detection with the Compensatory Reserve Measurement.

IEEE journal of biomedical and health informatics May 4, 2026

Hemorrhage remains the leading cause of preventable trauma death, with traditional vital signs failing to detect blood loss until 25-30% volume depletion occurs. Compensatory Reserve Measurement (CRM) enables earlier hemorrhage detection but current ... read more

A novel feedback-based compensation reduction with upper body reconstruction for upper-limb rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 4, 2026

Compensatory movements frequently occur during upper-limb rehabilitation for patients with stroke, potentially impeding effective motor recovery. Vision-based systems offer practical solutions for monitoring such compensations, but their application ... read more

Stochastic-Sampling-Based Event-Triggered Control for Switching Reaction-Diffusion Neural Networks.

IEEE transactions on cybernetics May 4, 2026

This article addresses the issue of multiasynchronous time-space sampled-data control (SDC) for switching reaction-diffusion neural networks (SRDNNs) under stochastic sampling. Unlike the well-known transition probabilities, sojourn probabilities (SP... read more

Addressing Structural Distribution Shift in Explanations for Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence May 4, 2026

Graph Neural Networks (GNNs) are essential for processing graph-structured data and have wide applications in critical domains. The increasing use of GNNs in high-stakes scenarios requires robust explainability to ensure trust and transparency in dec... read more

Artificial Intelligence Medical Compendium