Artificial Intelligence Medical Compendium

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

Showing 25,881 to 25,890 of 217,905 articles

Code Cracked: Using Artificial Intelligence to Transform Nursing Case Studies Into Virtual Escape Rooms.

The Journal of nursing education Apr 27, 2026
BACKGROUND: Artificial intelligence (AI) is transforming nursing education by offering innovative strategies to support clinical judgment, engagement, and competency development. METHOD: This project integrated an AI platform to generate escape-room ... read more 

Optimizing AI Voice for Adolescent Health: Preferences and Trustworthiness Across Teens and Parent.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Apr 27, 2026
INTRODUCTION: Communicating about adolescent health topics with adolescents and their parents is crucial in improving health and health behaviors. This study aimed to identify preferred AI voice characteristics and understand factors influencing perc... read more 

Nurse Educators' ChatGPT Use in Canadian Undergraduate Nursing Education: A Qualitative Study.

The Journal of nursing education Apr 27, 2026
BACKGROUND: Heath care and education have both experienced rapid growth in artificial intelligence (AI) use, especially with generative tools such as ChatGPT. This study explores nurse educators' perspectives on ChatGPT's educational value, implement... read more 

ChatGPT in intervention planning: Advancing clinical relevance and targeted care in cognitive rehabilitation.

Neuropsychology Apr 27, 2026
OBJECTIVE: We aim to introduce ChatGPT as a supportive tool in cognitive rehabilitation, examine the feasibility of its integration into clinical practice, and propose guidelines for its integration into evidence-based practice. The article is intend... read more 

MaxEnt with remote sensing for tea plantation suitability under climate change.

iScience Apr 27, 2026
Premium tea cultivation is highly vulnerable to climate change, yet its future suitability remains insufficiently understood. In this study, we integrated spatially de-biased tea occurrence records derived from Gaofen-6 imagery and a U-Net deep learn... read more 

Concordance Analysis Between KDIGO Definition of Acute Kidney Injury and Its Coding in Clinical Practice.

Kidney medicine Apr 27, 2026
RATIONALE & OBJECTIVE: Acute kidney injury (AKI) in research is typically identified using KDIGO criteria based on changes in serum creatinine (SCr) levels and urine output volumes, whereas in clinical practice, AKI is documented through Internationa... read more 

Interpretable Machine Learning Reveals Integrated Water Chemistry and Parameter-Specific Nonlinear Responses Shaping Legionella spp. and Mycobacterium spp. in Drinking Water

medRxiv Apr 27, 2026
Traditionally, studies have explored the impacts of individual water chemistry parameters on the persistence of Mycobacterium spp. and Legionella spp. in isolation with the underlying assumption that these associations are likely monotonic in nature.... read more 
public and global health

A prognostic signature based on ectopic reactivation of eight tissue-specific genes in Diffuse Large B Cell Lymphoma.

medRxiv Apr 27, 2026
Diffuse Large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma in the Western world. First-line immunochemotherapy fails in approximately 30-40% of patients, with refractory and relapse patients presenting a dismal prognosis. Currently,... read more 
hematology

Multicohort development and validation of a machine learning model to predict six-month functional traumatic brain injury outcomes in a large national registry

medRxiv Apr 27, 2026
Background: Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures long-term functional recovery, despite its importance to patients, families, and clinicians. Large trauma registries such as the Trauma Quality Improvem... read more 
intensive care and critical care medicine

BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer's Disease

medRxiv Apr 27, 2026
Anxiety is usually gauged by self-report, yet a single symptom level can reflect disparate neural circuitry. In Alzheimer's disease and related dementias (ADRD) this heterogeneity becomes a barrier to effective neuromodulation: some patients may bene... read more 
neurology
Popular Topics
Recent Journals