AI Medical Compendium

Real-Time MRI With Deep Learning for Efficient Evaluation of Neuromuscular Breathing Impairment.

MedComm Feb 24, 2026

Efficient detection of breathing impairment is critical for treatment and prognosis in neuromuscular disorders. However, standard pulmonary function tests often yield ambiguous results. This prospective study evaluates whether advanced real-time MRI ... read more

Precision nutrition and food biomanufacturing for space missions: Toward intelligent and bioregenerative life-support systems.

Food research international (Ottawa, Ont.) Feb 24, 2026

Long-duration spaceflight presents unique physiological and nutritional challenges due to factors such as microgravity, radiation, confinement, and circadian rhythm disruption. These stressors reshape energy metabolism, bone and muscle homeostasis, i... read more

Letter to the editor: Re-examining the role of deep learning in cyber forensics: Practical gaps beyond conceptual frameworks.

Forensic science international. Synergy Feb 24, 2026

This letter investigates the applicability of deep learning-based techniques proposed for cyber forensics by exploring its practical limitations. Although current models depict disciplined investigation process stages, there are a lot of issues that ... read more

The intervention of AI and ML generated Xenobots in the perspective of future technology: a review.

Computational biology and chemistry Feb 24, 2026

The evolution of synthetic mini-robots has contributed much to the field of science and technology. Still, of now, computational technology has shifted to generate AI-based robots from the living matter of Amphibian cells by utilizing evolutionary al... read more

[Large-scale electrocardiogram and imaging models in cardiovascular diseases: applications and challenges].

Zhonghua xin xue guan bing za zhi Feb 24, 2026

[Development of a deep learning model for predicting adverse cardiovascular events in patients with acute coronary syndrome based on retinal fundus images].

Zhonghua xin xue guan bing za zhi Feb 24, 2026

Objective: To develop and validate a deep learning model based on retinal fundus images for predicting the risk of long-term adverse cardiovascular events in patients with acute coronary syndrome (ACS). Methods: This multicenter diagnostic study enro... read more

EASDnet: Empowering human-centered evidence-based medicine through an evidence and attention-based spatial disparity network for discriminative colorectal cancer histopathological screening and attribution.

Pathology, research and practice Feb 24, 2026

PURPOSE: Accurate preoperative staging of colorectal cancer is critical to guide treatment decisions, including eligibility for R0 resection, to reduce recurrence and improve patient survival. However, conventional imaging evaluation depends on human... read more

Machine learning in psychiatric risk prediction: Beyond accuracy toward clinical responsibility.

Psychiatry research Feb 24, 2026

Identification and validation of key genes as diagnostic biomarkers for epilepsy using bioinformatics and machine learning.

Computational biology and chemistry Feb 24, 2026

Epilepsy is a common neurological disorder with a complex molecular pathogenesis. Approximately one-third of patients experience drug-resistant seizures, which severely impairs their quality of life. This study employed an integrated bioinformatics a... read more

Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2026

Understanding motion and 3D structure from dynamic scenes is a fundamental computer vision challenge. Unsupervised learning addresses the high cost of annotation by training without manual labels; within this domain, self-supervised learning offers a... read more

Artificial Intelligence Medical Compendium