Artificial Intelligence Medical Compendium

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

Showing 38,921 to 38,930 of 223,469 articles

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study.

JMIR research protocols
BACKGROUND: The promise of artificial intelligence (AI) in medicine depends on its ability to learn from data that reflect what matters to patients and clinicians in the care process. Most existing models are trained on electronic health records (EHR... read more 

Thrombopoietin receptor agonists in immune thrombocytopenia: a comparative review of mechanisms, efficacy, and the future of personalized management.

Expert opinion on pharmacotherapy
INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic immune thrombocytopenia (ITP) by directly targeting impaired platelet production, a mechanism previously overshadowed by immune-mediated destruction. The... read more 

A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study.

JMIR medical informatics
BACKGROUND: Medical ambient artificial intelligence (AI) scribes reduce documentation burden, but the current evidence is almost entirely from English systems. In the Arabic-speaking world, physicians converse mainly in Arabic and write clinical note... read more 

MRI-Based Synthetic CT Shows Promise as a Radiation-Free Alternative to Conventional CT in Orthopaedics.

The Journal of bone and joint surgery. American volume
➢ Computed tomography (CT) remains the gold standard for bone imaging, but radiation risks, especially in children, are driving interest in alternatives.➢ Magnetic resonance imaging (MRI)-based techniques are emerging as a radiation-free alternative ... read more 

Using Natural Language Prompts With AI Models for Low-Cost Assistive Software Design: Exploratory Comparative Evaluation.

JMIR rehabilitation and assistive technologies
BACKGROUND: This study investigates the capacity of 7 artificial intelligence (AI) models, 5 free and 2 paid, to generate functional software for designing low-cost, personalized assistive products. OBJECTIVE: The objective was to determine which mod... read more 

HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction.

PloS one
Lung cancer survival prediction remains one of the most challenging tasks in modern healthcare, as accurate and adaptive prediction models are essential for improving patient outcomes. However, the continuous inflow of new patient data in hospital en... read more 

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study.

JMIR formative research
BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains complex due to organizational constraints, interprofessional coordination, and administrative demands. Despite ongoing digitalization efforts, many h... read more 

Postgraduate students' perceptions of artificial intelligence integration in research: A cross-sectional study.

PloS one
BACKGROUND: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly used in academic research, yet evidence on postgraduate students' perceptions remains limited in non-Western and health-professional contexts. Understanding ho... read more 

MXtalTools: A Toolkit for Machine Learning on Molecular Crystals.

Journal of chemical information and modeling
We present MXtalTools, a flexible Python package for the data-driven modeling of molecular crystals, facilitating machine learning studies of the molecular solid state. MXtalTools comprises several classes of utilities: (1) synthesis, collation, and ... read more 

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction.

PLoS computational biology
MOTIVATION: The precise prediction of peptide-protein interaction (PepPI) is a core support for promoting breakthroughs in peptide drug research, as well as understanding the regulatory mechanisms of biomolecules. Researchers have developed several c... read more