Artificial Intelligence Medical Compendium

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

Showing 38,661 to 38,670 of 223,469 articles

Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study.

International urology and nephrology Mar 25, 2026
OBJECTIVE: To develop an explainable machine learning (ML) model to predict mid-term (3 years) stone recurrence (SR) after percutaneous nephrolithotomy (PCNL). This single-center retrospective observational cohort study compared nonlinear algorithms ... read more 

Leveraging Machine Learning to Predict Mental Health Referral Follow-up Among US Military Personnel.

Medical care Mar 25, 2026
BACKGROUND: Noncompliance with mental health referrals among US military personnel remains a significant barrier to care. Operational deployments and military stressors contribute to mental health challenges, impacting treatment access and increasing... read more 

Machine learning-based prediction of out-of-hospital births in prehospital emergency care.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Mar 25, 2026
BACKGROUND: Unplanned out-of-hospital births constitute rare but high-risk obstetric emergencies managed by emergency medical services (EMS). Rapid assessment of labor progression in prehospital settings is challenging due to limited diagnostic resou... read more 

Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.

IEEE transactions on neural networks and learning systems Mar 25, 2026
Composite resource allocation problems with general constraints are studied in this article, which frequently arise in networked systems such as smart grids and multiagent coordination. To address the challenges posed by multivalued differential incl... read more 

Deep learning for temporal super-resolution 4D Flow MRI.

IEEE transactions on medical imaging Mar 25, 2026
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive technique for volumetric, time-resolved blood flow quantification. However, apparent trade-offs between acquisition time, image noise, and resolution limit clinical applicability. In ... read more 

A Multi-Scale Hybrid Efficient Deep Learning Model for COPD Detection Using Respiratory Sounds.

IEEE journal of biomedical and health informatics Mar 25, 2026
Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease, and early diagnosis is crucial for timely intervention and improved prognosis. Respiratory sound analysis, with its non-invasive nature and ability to reflect airway pat... read more 

Legal and Ethical Considerations for Translating Federated Learning into Cross-Border Healthcare Innovation.

IEEE journal of biomedical and health informatics Mar 25, 2026
Federated Learning (FL) offers a privacy-enhancing architecture for training artificial intelligence on decentralized healthcare data, yet the prevailing mantra to "move the model, not the data" obscures significant privacy risks, ethical dilemmas, a... read more 

Digital health technologies in pain management for patients with endometriosis: A scoping review.

PloS one Mar 25, 2026
OBJECTIVE: This scoping review aimed to map the evidence on how digital health technologies are used for pain management in endometriosis. METHODS: This scoping review adhered to the Joanna Briggs Institute methodological framework and followed the p... read more 

Social support detection from social media texts.

PloS one Mar 25, 2026
Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the face of challenges, and enhancing overall well-being. This paper introdu... read more 

Man vs. machine: Multi-country experimental evidence on the quality and perceptions of AI-generated research blog content.

PloS one Mar 25, 2026
Academic research is not always available in a form that is accessible or engaging to a non-academic audience, hindering readers' engagement with it. Non-academics, even if highly educated and policy experts in their fields, tend to need research to ... read more 
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