Artificial Intelligence Medical Compendium

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

Showing 26,701 to 26,710 of 218,283 articles

Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.

PloS one
PURPOSE: This study aimed to develop a machine learning-based prediction model for myopia progression using ocular biometric parameters to provide an objective assessment tool for clinical practice. METHODS: A retrospective analysis was conducted on ... read more 

Resilient road safety modeling through spatially disaggregated explainable AI.

PloS one
Understanding spatial disparities in traffic accident severity is essential not only for improving transport safety but also for advancing sustainable and inclusive transportation systems. Road crashes represent a persistent public health and equity ... read more 

The application of large language models in meteorology graduate research: current status, impact, and prospects.

PloS one
With the rapid development of generative artificial intelligence, large language models (LLMs) have gradually integrated into various fields, demonstrating significant potential, particularly in meteorological research. This study explores the curren... read more 

Narrowing down the cause of the hard-sphere nucleation discrepancy: The free energy of precritical nuclei is consistent with predictions.

Science advances
Predicting the rate of crystal nucleation is among the most substantial long-standing challenges in condensed matter. In the system most studied (hard-sphere colloids), the discrepancy between experiments and computer simulations is more than 10 orde... read more 

Probing the Specificity of Fluorescent Deoxyribozymes Using Single-Step Selections and Machine Learning.

ACS chemical biology
The ability of proteins and nucleic acids to form specific binding sites for ligands is critical for biological function, and methods to modulate biochemical specificity are important for fields such as enzyme engineering and drug design. Here, we sy... read more 

Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study.

JMIR medical informatics
BACKGROUND: Artificial intelligence-augmented electrocardiogram (AI-ECG) models for detecting left ventricular systolic dysfunction (LVSD) often exhibit degraded performance in patients with comorbidities. OBJECTIVE: This study aimed to introduce and... read more 

Tech That Scales: A Practical Framework for Artificial Intelligence-Enabled Cancer Care in Low- and Middle-Income Countries and Underserved US Counties.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 percentage points behind high-income benchmarks, and similar disparities persist between well-resourced ... read more 

Exploring Attitudes Toward AI-Based Contactless Sensors in Health Among Five Stakeholder Groups: Qualitative Study.

Journal of medical Internet research
BACKGROUND: The rapid rise of artificial intelligence-based contactless sensors (AI-CS) is expected to significantly transform how patients are measured, monitored, and understood through a versatile, noninvasive approach to data collection and healt... read more 

Association of MRI-Visible Perivascular Spaces With Longitudinal Cognitive Decline Over a Decade.

Neurology
BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the most common vascular contributor to dementia. SVD markers often coexist, contributing to difficulty assessing their independent contributions to cognitive domains. MRI-visible peri... read more 

Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

Clinical child psychology and psychiatry
ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini 1.5 Pro-in assessing suicide risk and guiding treatment in adolescents presenting to the emergency department with suicidal ideation and/or attempts.... read more