Artificial Intelligence Medical Compendium

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

Showing 5,491 to 5,500 of 205,061 articles

Assessing the Accuracy and Reliability of ChatGPT-4 to Answer Clinical EHR Messages in Sports Medicine.

Southern medical journal
OBJECTIVES: Although advancements in electronic health records (EHRs) have improved clinical productivity, digital administrative responsibilities have led to increased physician burnout. With the emergence of large language models (LLMs), their inco... read more 

Artificial Intelligence Discontinuation Effects (AI-DICE): An Emerging Phenomenon in Mental Health Applications.

JMIR AI
Artificial intelligence (AI) has emerged as a powerful tool for fostering positive behavior change and enhancing mental health support. However, the abrupt discontinuation or functional degradation of AI-driven interventions, particularly those featu... read more 

Novel Online Platform for Trauma Care-Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Severe trauma remains a leading cause of admission to the intensive care unit. The Trauma and Injury Severity Score (TRISS) is an established standard for predicting outcomes and benchmarking the quality of trauma care globally. However, ... read more 

Association between completing at least eight antenatal care contacts and maternal anaemia in Ghana: a cross-sectional study using causal machine learning.

BMJ open
BACKGROUND: Maternal anaemia remains a pressing global health challenge, with a notable burden in low- and middle-income countries. Existing studies in sub-Saharan Africa have largely relied on average associations, thereby concealing key variation a... read more 

Accuracy of Automated Deep Learning versus Expert Clinicians for Diagnosis of Acute Lacunar Stroke on CT Perfusion.

AJNR. American journal of neuroradiology
BACKGROUND: Accurate diagnosis of lacunar stroke in the acute setting is challenging and often depends on MRI or clinical suspicion. CT perfusion (CTP) has only modest diagnostic accuracy and substantial interobserver variability yet is widely availa... read more 

Confinement-Driven Redox Inversion and Predicted Ferromagnetism in One-Dimensional Sc3Cl8 within Single-Walled Carbon Nanotubes.

Nano letters
Single-walled carbon nanotubes (SWCNTs) act as one-dimensional (1D) nanoreactors capable of stabilizing reactive species and unique low-dimensional phases. Here, we report the synthesis of an unprecedented 1D Sc3Cl8 phase formed via the confinement-i... read more 

Multimodal Ultrasound Integration Pathways and Paradigm Innovations in Precision Diagnosis and Treatment of Thyroid Cancer.

Academic radiology
RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from morphological evaluation to molecular-functional imaging. This review systematically evaluates the translational value of multimodal ultrasound techn... read more 

Alignment of artificial intelligence-generated responses with systematic reviews in implant prosthodontics.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Large language model (LLM)-based artificial intelligence (AI) platforms have emerged as tools to support clinical decision-making in dentistry, but their alignment with high-level evidence from systematic reviews in implant pros... read more 

Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force.

Annals of the rheumatic diseases
OBJECTIVES: Systematic literature reviews (SLRs) provide the scientific basis for European Alliance of Associations for Rheumatology (EULAR) task force projects, but they are highly time- and labour-intensive in an ever-growing research landscape, re... read more 

A Hybrid Rule-Based and Large Language Model Artificial Intelligence Systems for Electrodiagnostic Reporting: Two-Center Retrospective Evaluation.

Muscle & nerve
INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time-consuming documentation. We aimed to eva... read more