Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 207,466 articles

AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation.

Radiology. Imaging cancer Jul 1, 2026
Purpose To evaluate the value of a nomogram model incorporating clinical parameters, hematologic inflammatory biomarkers, and MRI radiomic features in predicting postoperative disease-free survival (DFS) in patients with cervical cancer and to explor... read more 

Prescribing Caution: A Critique of OpenEvidence to Answer Medication-Related Questions.

Journal of the American College of Clinical Pharmacy : JACCP Jul 1, 2026
OpenEvidence is a newer medical large language model (LLM) that is growing in use among health professionals and students for clinical care and research. This paper provides an overview of existing literature on the accuracy of using OpenEvidence to ... read more 

From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI-Enabled Decision Support.

Nursing in critical care Jul 1, 2026
BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to support triage, prediction of deterioration, sepsis recognition and escalation decisions. Although th... read more 

Preclinical and Virtual Models of Mucosal Melanoma: Bridging Translational Gaps in a Rare and Lethal Cancer.

Pigment cell & melanoma research Jul 1, 2026
Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian populations and exhibiting distinct clinicopathological and genetic features compared to cutaneous melanoma (CM). Often diagnosed at advanced stages, M... read more 

An Enhanced Machine Learning-Based Multimodal Framework for Seizure Detection Using EEG and MRI Data.

Developmental neurobiology Jul 1, 2026
One of the most common neurological disorders that immediately alters a person's way of life is an epileptic seizure. Accurate seizure detection remains a major challenge in neurological research due to the nonstationary and complex nature of electro... read more 

NToxSEM: Enhancing prediction of neurotoxic peptides and neurotoxins using a stacked ensemble-based multimodal framework.

Protein science : a publication of the Protein Society Jul 1, 2026
The safety assessment of therapeutic proteins and genetically modified (GM) organisms relies heavily on the rapid and accurate prediction of peptides, and proteins that exhibit neurotoxic activity. Since experimental methods are time-consuming and co... read more 

Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight.

Jornal brasileiro de nefrologia Jul 1, 2026
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Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight.

Jornal brasileiro de nefrologia Jul 1, 2026
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An Effective LRSF-DLNN-Based Autism Spectrum Disorder Prediction Using EEG and fMRI.

Developmental neurobiology Jul 1, 2026
In today's society, autism spectrum disorder (ASD) is a common neurological disorder that affects a person's behavior and communication. Hence, an early ASD prediction is essential for improving the lifecycle of ASD patients. Recently, many works hav... read more 

PET/MR: history, current state, and technology.

The British journal of radiology Jul 1, 2026
Integrated PET/MR combines the molecular sensitivity of PET with the superior soft-tissue contrast and multiparametric capabilities of MRI, enabling simultaneous acquisition and improved spatial-temporal alignment compared with PET/CT. Since its intr... read more 
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