Artificial Intelligence Medical Compendium

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

Showing 30,031 to 30,040 of 220,100 articles

A unified multi-scale deep learning framework for molecular property prediction that bridges molecular structures and fingerprinting.

Communications chemistry
Accurate prediction of molecular properties such as bioactivity, solubility and toxicity is essential for computer-aided drug discovery, but current graph-based and fingerprint-based models often struggle to capture both local molecular structure and... read more 

Tools and tactics for studying alternative splicing.

Nature reviews. Genetics
Alternative splicing generates transcriptomic diversity essential for cellular homeostasis, and its dysregulation contributes to diseases ranging from rare genetic disorders to cancer. For decades, technical barriers limited the ability to map and in... read more 

Three large language models demonstrate competitive performance in Traditional Chinese Medicine national medical licensing examinations over two years.

Scientific reports
Large language models (LLMs) are increasingly integrated into medical education and assessment. However, their performance in high-stakes, non-English medical licensing examinations-particularly within culturally distinct medical systems such as Trad... read more 

Assessment of AI-Generated Patient Education Materials for Bladder Training and Pelvic Floor Muscle Therapy: Comparison with an International Society Leaflet.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: High-quality patient education materials are essential in urogynecology. We hypothesized that patient handouts generated by different large language models (LLMs) would vary in quality and readability and would differ fro... read more 

Artificial intelligence in cancer survivorship: evaluating ChatGPT's performance in rehabilitation-related queries.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examined the accuracy, completeness, and overall quality of ChatGPT's responses across major domains of ca... read more 

A Hybrid Approach for Differentiating Fibrotic Hypersensitivity Pneumonitis and Idiopathic Pulmonary Fibrosis: Deep Feature Extraction and Machine Learning.

Journal of imaging informatics in medicine
In patients over 60 years of age who are male, non-smokers, and in whom no organic antigen is identified in the history, differentiating fibrotic hypersensitivity pneumonitis (HP) from idiopathic pulmonary fibrosis (IPF) may be challenging. We aimed ... read more 

Generalization of Left Ventricular Segmentation Models to LVNC Patients: A Comparative Study.

Journal of imaging informatics in medicine
Left ventricular non-compaction (LVNC) is a rare cardiomyopathy with distinctive myocardial morphology. Due to its low prevalence, LVNC cases are rarely included in public cardiac datasets, hindering the development of specialized deep learning segme... read more