AI Medical Compendium

MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs.

Artificial intelligence in medicine May 2, 2026

In the era of Artificial Intelligence (AI), Large Language Models (LLMs) are increasingly being used as medical reasoning agents. However, the risk of LLM hallucinations, where the model generates incorrect or nonsensical responses, poses a significa... read more

Dual-functionalized bilayer colorimetric hydrogel label combined with deep learning for intelligent monitoring of chicken freshness.

Food research international (Ottawa, Ont.) May 1, 2026

A dual-functional bilayer colorimetric hydrogel label was engineered in this study. It consists of a ZnO/SA-AG UV-shielding upper layer and a liposome-loaded natural pigment indicator layer with curcumin, anthocyanin and betanin, which are assembled ... read more

A novel dataset of North-Eastern Indian coins for machine learning-based classification.

Data in brief May 1, 2026

Old coins made by hand in ancient times and the Middle Ages are difficult to categorize because they are important for understanding culture and history, and they have complicated designs. The recent breakthroughs in machine learning have demonstrate... read more

The Year in Electrophysiology: Selected Highlights From 2025.

Journal of cardiothoracic and vascular anesthesia May 1, 2026

This special article represents the eighth installment in an annual Journal of Cardiothoracic and Vascular Anesthesia series highlighting key advances in cardiac electrophysiology relevant to cardiothoracic anesthesiologists. The authors extend their... read more

Supervised Machine Learning Models for Ocular Sagittal Height Prediction Incorporating Corneoscleral Profile Data.

Eye & contact lens May 1, 2026

OBJECTIVE: This study aimed to develop supervised machine learning (ML) models to predict ocular sagittal height (OC-SAG), using anterior eye data derived from topography and tomography. METHOD: ology: A retrospective cohort of 100 eyes provided data... read more

Spatio-temporal Dynamics and Drivers of Carbon Storage in Arid Ecosystems: Integrated Analysis Using InVEST and PLUS Models with Machine Learning.

Environmental research May 1, 2026

Land use/cover change (LUCC) plays a key role in regulating the carbon cycle. Carbon storage (CS) is shaped by natural conditions, vegetation status, land use type, and socioeconomic activities. However, their effects on CS in Xinjiang, an arid regio... read more

Neural characteristics of emotion regulation and derived machine learning classification in high negative affectivity: Based on event-related potentials and nonlinear analysis.

Journal of affective disorders May 1, 2026

As a core component of negative affectivity, high trait anxiety (HTA) elevates the risk of the onset of depressive disorders through impaired emotion regulation processes. However, its underlying neural mechanisms remain unclear due to methodological... read more

Generative Artificial Intelligence Use in the Peer Review Process.

Journal of pain and symptom management May 1, 2026

Effectiveness of Patent Foramen Ovale Occlusion Devices Versus Medical Therapy: An Indirect Comparison Based on Reconstructed Individual Patient Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 1, 2026

BACKGROUND: Percutaneous closure of patent foramen ovale (PFO) reduces the risk of recurrent stroke in selected patients with cryptogenic stroke. However, direct comparative data among different occlusion devices are lacking. OBJECTIVE: Our study aim... read more

Between Withdrawal and Death: Can Machine Learning Improve DCD Utilization?

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation May 1, 2026

Artificial Intelligence Medical Compendium