Artificial Intelligence Medical Compendium

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

Showing 52,851 to 52,860 of 225,341 articles

Seasonal variation in BMI outcomes at 6 months: secondary analyses of a multidisciplinary healthy lifestyle programme for children and adolescents with obesity.

World journal of pediatrics : WJP Feb 6, 2026
BACKGROUND: While international evidence suggests seasonal variations may influence outcomes of interventions for pediatric obesity, data for Aotearoa New Zealand are limited. We examined seasonal variations in changes in body mass index standard dev... read more 

Predicting the surgical difficulty of laparoscopic cholecystectomy after percutaneous transhepatic gallbladder drainage in patients with acute cholecystitis: a multi-center study.

Updates in surgery Feb 6, 2026
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Evaluation of Artificial Intelligence-Generated DNA Aptamers Against Treponema pallidum Surface Proteins.

Journal of fluorescence Feb 6, 2026
DNA aptamer sequences were selected in silico with assistance from artificial intelligence (AI) using the new Xelari.com platform against three known immunogenic surface proteins of Treponema pallidum designated Tpp17, Tpp47 and Tp0751. The in silico... read more 

AI-FLEET: Phase I-Multimodal Deep Learning Model for Phyllodes Tumor Classification.

Annals of surgical oncology Feb 6, 2026
BACKGROUND: Fibroepithelial breast lesions, including fibroadenomas and phyllodes tumors (PTs), can be difficult to classify on needle biopsy. Misclassification may result in unnecessary excisions of benign fibroadenomas or delays and repeat operatio... read more 

Advancing Psychiatric Safety With the Predictive Risk Identification for Mental Health Events Tool: Retrospective Cohort Study.

JMIR mental health Feb 6, 2026
BACKGROUND: Patient safety incidents are a leading cause of harm in psychiatric settings, yet early warning systems (EWS) tailored to mental health remain underdeveloped. Traditional risk tools such as the Dynamic Appraisal of Situational Aggression-... read more 

Beyond Efficiencies: Guiding Artificial Intelligence in the Planning and Design of Healthcare Facilities.

Healthcare management forum Feb 6, 2026
Artificial intelligence for health holds enormous transformative potential. It has already proven successful in enhancing patient outcomes, facilitating the duties of professional caregivers, and their organizations. Its potential applications in the... read more 

Informing patients with otologic balance disorders: A performance review of ChatGPT-4.

Medicine Feb 6, 2026
This cross-sectional evaluation aimed to evaluate the quality of patient education materials provided by ChatGPT regarding otologic balance disorders. A total of 126 patient-oriented questions covering 9 common vestibular conditions - including benig... read more 

Evaluating the role of ChatGPT in structured radiology reporting: A systematic review.

Medicine Feb 6, 2026
BACKGROUND: The integration of large language models (LLMs) such as ChatGPT into radiology has introduced new possibilities for structured reporting. While these models are designed to improve the clarity, accuracy, and efficiency of radiology workfl... read more 

Developing and validating a machine learning model for predicting post-thrombolysis seizures in acute ischemic stroke.

Medicine Feb 6, 2026
Post-stroke seizures (PSS) manifests variably due to ischemic brain injury, yet its risk factors remain unclear. This study developed a machine learning (ML) model using clinical and laboratory data to predict PSS risk in acute ischemic stroke (AIS) ... read more 

Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: A cross-sectional SHAP-based analysis of NHANES 2009-2023.

Medicine Feb 6, 2026
Depression (DEP) is a common yet underdiagnosed comorbidity in adults with type 2 diabetes mellitus (T2DM), worsening glycemic control and increasing complication risk. Practical, interpretable risk tools using routine patient data are limited. We co... read more 
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