Artificial Intelligence Medical Compendium

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

Showing 1,541 to 1,550 of 200,346 articles

EEG monitoring in the operating room: current uses and perspectives - a narrative review.

Anaesthesia, critical care & pain medicine
CONTEXT AND IMPORTANCE: With over 300 million surgeries performed under general anaesthesia annually, optimising perioperative brain health has become a critical public health priority. Electroencephalogram (EEG) monitoring, initially conceived to pr... read more 

Frequency-Specific Alterations of Spontaneous Brain Activity in Stroke Patients with Upper Limb Motor Dysfunction: A Multi-Metric rs-fMRI and Machine Learning Study.

Brain research bulletin
BACKGROUND: Post-stroke upper limb motor dysfunction is associated with complex alterations in brain function, but the frequency-specific characteristics of spontaneous local neural activity remain incompletely understood. This study investigated mul... read more 

Development of Machine Learning-Driven Dual-Task Gait Test Model for Cognitive Impairment Screening.

Archives of physical medicine and rehabilitation
OBJECTIVE: To develop an artificial intelligence (AI)-aided dual-task gait test model for scalable, high-throughput cognitive impairment screening. DESIGN: A diagnostic case-control study between 2022 and 2023, community-dwelling adults aged ≥60 year... read more 

Quality of AI-generated post-operative patient education after minimally invasive gynecologic surgery: A comparative analysis.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic post-operative questions with educational materials published by professional societies. DESIGN: Comparative analysis of published and AI-generated patient education rel... read more 

Development and External Validation of a Large Language Model-Based Clinical Decision Support System for Colonoscopy Surveillance Intervals.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND: Adherence to guideline-based colonoscopy surveillance intervals remains suboptimal. Large language models (LLMs) show promise for automating interval assignment, but prior studies relied on proprietary models and have variably assessed ge... read more 

Circular RNAs in virus-induced cancers: From mechanism to clinical implications.

Biochimica et biophysica acta. Reviews on cancer
Viruses, during their lifecycle, are continuously dependent on host machinery for their survival. Sometimes this dependency leads to uncontrolled cell proliferation in the host, accounting for 12% of virus-associated cancers. Since early times, virus... read more 

A bond-aware graph neural network integrated with docking, pharmacophore modeling and molecular dynamics for JAK2 inhibitors affinity prediction.

Biochimica et biophysica acta. Proteins and proteomics
The Janus kinase (JAK)/STAT signaling pathway plays a pivotal role in cancer biology as well as in inflammatory and autoimmune disorders such as psoriasis. Recent advances in biomedical research and targeted therapies have highlighted the importance ... read more 

Beyond Reactive Surveillance: Can Machine Learning Finally Personalize Heart Transplant Care?

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
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Avoiding Monsters: Weighing Recipient Risk and Donor Quality in Lung Transplantation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
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Identification and multicenter validation of a 4-gene plasma signature for early recognition and risk assessment in hypertensive intracerebral hemorrhage.

Genomics
Hypertensive intracerebral hemorrhage (ICH) is a devastating stroke subtype with high mortality and disability, yet reliable early risk biomarkers remain elusive. This study integrated protein microarray and transcriptomics with machine learning to i... read more