Artificial Intelligence Medical Compendium

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

Showing 25,291 to 25,300 of 217,759 articles

Traffic flow prediction via dynamic hypergraph learning.

PloS one Apr 28, 2026
In the field of intelligent transportation systems, efficiently and accurately predicting traffic flow and its evolution trends has become an important and urgent research task. Graph neural networks have been widely used in traffic flow prediction p... read more 

Safety-oriented and explainable machine learning for KSI crash risk prediction: Evidence from the United Kingdom.

PloS one Apr 28, 2026
Road traffic crashes pose a serious public safety challenge, particularly due to fatal and serious injuries. Although machine learning (ML) has been widely used for crash severity prediction, many studies remain accuracy-oriented and insufficiently a... read more 

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

Journal of medical Internet research Apr 28, 2026
BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine learning (ML) being increasingly used to enhance patient management in diagnosis, prevention, and therapeutic care. OBJECTIVE: This study aims to provid... read more 

Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.

Journal of medical Internet research Apr 28, 2026
BACKGROUND: Social determinants of health (SDOH) are the social, economic, and environmental conditions that influence health outcomes. SDOH information is often embedded in unstructured text, such as notes in electronic health records and social med... read more 

Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding.

JMIR medical informatics Apr 28, 2026
BACKGROUND: Accurate prediction of surgical duration is critical for optimizing operating room scheduling and resource allocation. Existing models, however, exhibit limited applicability in pediatric urology due to the unique anatomical and developme... read more 

Effects of a Soft Robotic Exoskeleton for Gait Training on Clinical Outcomes in Patients With Parkinson Disease: Randomized Controlled Pilot Study.

Journal of medical Internet research Apr 28, 2026
BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality of life. OBJECTIVE: Evidence on soft exoskeleton robots (SERs) for PD rehabilitation is limited. This study evaluated the impact of SERs on motor dysfu... read more 

Polymer-Agent: Large Language Model Agent for Polymer Design.

Journal of chemical information and modeling Apr 28, 2026
On-demand polymer discovery is essential across various industries, from biomedical applications to reinforcement materials. Experiments with polymers involve a long trial-and-error process that consumes extensive resources. For these processes, mach... read more 

Image-based high-throughput phenotyping enables genetic analyses of pod morphological traits in mungbean (Vigna radiata (L.) R. Wilczek).

G3 (Bethesda, Md.) Apr 28, 2026
Mungbean (Vigna radiata (L.) R. Wilczek) is a vital source of digestible proteins and is well-suited for the plant-based protein industry. In this study, we analyzed pod morphological traits in the Iowa Mungbean Diversity (IMD) panel of 372 genotypes... read more 

Data-Efficient Language Model for Assessing Pulmonary Embolism Diagnostic Certainty From Radiology Reports: Model Development and Validation Study.

JMIR medical informatics Apr 28, 2026
BACKGROUND: Computed tomography pulmonary angiography (CTPA) is the standard imaging modality for diagnosing pulmonary embolism (PE), but diagnostic uncertainty is common due to technical limitations and vague language, leading to inconsistent interp... read more 

A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study.

JMIR AI Apr 28, 2026
BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial efforts to explore potential applications of artificial intelligence (AI) in PD management, research ... read more 
Popular Topics
Recent Journals