Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 23,701 to 23,710 of 217,366 articles

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
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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
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An Integrated Clinical-Histopathologic Prediction Model for Cardiac Allograft Rejection: Translating Machine Learning into Clinical Risk Frameworks.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation May 1, 2026
BACKGROUND: Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart transplantation (HT). Current diagnostics, including histologic grading of endomyocardial biopsy (EMB) and blood-based assays, lack accurate pr... read more 

Comment On: "External validation of an artificial intelligence-based model for retinopathy of prematurity screening using Phoenix ICON retinal images".

Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus May 1, 2026
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OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Survey of ophthalmology May 1, 2026
Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expanding range of OCT-derived biomarkers has been identified that reflect distinct pathophysiological mechanisms and may carry diagnostic, prognostic, an... read more 

Reply to: Beyond AUC: Advancing clinical interpretability of depression-MRI-machine learning analyses in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association May 1, 2026
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Educating older adults to use technologies for health management in social settings: perspectives of older adults and community workers.

BMC geriatrics May 1, 2026
BACKGROUND: With the acceleration of global aging, the potential of digital technologies for self-care management among older adults has surged. Older adults often face numerous difficulties and challenges when seeking health information, including i... read more 

When does global attention help: a unified empirical study on atomistic graph learning.

Journal of cheminformatics May 1, 2026
Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is constantly increasing to enable the modeli... read more 
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