Artificial Intelligence Medical Compendium

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

Showing 31,071 to 31,080 of 220,293 articles

Predicting Postoperative Outcomes in Pediatric Ureteroscopy Using Machine Learning and Explainable AI-EAU Endourology Vision-AI Study.

Journal of endourology
AIM OF THE STUDY: This study aimed to evaluate the performance of machine learning (ML) algorithms integrated with explainable artificial intelligence (XAI) techniques in predicting outcomes following flexible ureteroscopy (fURSL) in children. By ide... read more 

Applications of Machine Learning, Natural Language Processing, and Generative Artificial Intelligence in Dermatology Education and Research: A Scoping Review.

International journal of dermatology
Artificial intelligence (AI) is being increasingly used in dermatology education and research as digital health data expands and large language models (LLMs) advance. This scoping review synthesized current applications, benefits, and limitations of ... read more 

TargetGAN: A generative AI framework for the design of plant core promoters with targeted activity.

Plant communications
Plant core promoters (PCPs) are key genetic elements that control gene expression and have significant value for crop breeding and plant synthetic biology. Natural promoters (NPs) are constrained by their limited diversity and narrow activity range, ... read more 

Deep-learning segmentation to guide bladder neck recognition in robot-assisted radical prostatectomy.

BJU international
OBJECTIVES: To develop a deep-learning segmentation model for bladder neck dissection during robot-assisted radical prostatectomy (RARP) and evaluate its effectiveness in improving anatomical recognition in surgical videos across surgeons with varyin... read more 

Deep Learning-Based Multimodal Fusion of Ultrasound, Cytology, and Clinical Features to Distinguish Follicular Thyroid Carcinoma from Adenoma: A Multicenter Study.

Academic radiology
RATIONALE AND OBJECTIVES: Preoperative differentiation between follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) remains challenging due to overlapping cytological and ultrasonographic features. This study aimed to develop and v... read more 

BeeEcoTox: A Large Language Model-Empowered Graph-Learning Framework for Predicting Ecotoxicity of Agrochemicals to Bees.

Environmental science & technology
Agrochemical exposure can threaten bees with substantial ecological risks. The rapid and accurate prediction of agrochemical ecotoxicity to bees is thus urgently needed; however, existing models are constrained by single-type structural inputs, resul... read more 

Dietary nutritional strategies for circadian rhythm regulation: advances, challenges and future directions.

Critical reviews in food science and nutrition
The escalation of urban light pollution and the trend toward a globalized lifestyle have led to a notable increase in circadian rhythm disruption (CRD), which is emerging as a concealed epidemic in contemporary society. Dietary nutritional strategies... read more 

Risk-Guided Atrial Fibrillation Screening With Artificial Intelligence-Enabled Electrocardiogram Models: A VITAL-AF Trial Analysis.

Journal of the American College of Cardiology
BACKGROUND: Screening for atrial fibrillation (AF) may lead to earlier detection and initiation of preventive measures. Current AF screening approaches using a guideline age-based threshold of ≥65 years have shown limited yield. OBJECTIVES: In an AF ... read more