Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.
The MINERVA study explores machine learning to predict relapse risk in mild acute biliary pancreatitis patients. 🤖📊
The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study.
A new clinical decision support system for cardiovascular diseases enhances diagnosis and treatment through multimodal data integration. 🩺📊
Exploring the dynamics of Lotka-Volterra systems: Efficiency, extinction order, and predictive machine learning.
This article reviews Lotka-Volterra systems, revealing how trophic efficiency impacts species extinction and predicting outcomes using machine learning. 🌱📉
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.
New multi-view method, MERIT, enhances liver fibrosis staging accuracy and interpretability through evidential learning. 🏥📊
A Scoping Review of Artificial Intelligence for Precision Nutrition.
Artificial intelligence is transforming precision nutrition. 🤖🍏 Recent studies highlight its potential and address cultural factors.
Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.
Recent research highlights key ageing-related genes in diagnosing osteoarthritis with metabolic syndrome. Machine learning aids in identifying biomarkers. 🧬🔍
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes.
Innovative AI and IoT integration enhances elderly care in smart homes. 🏡👵 Personalized solutions improve health monitoring and response times. 📈💡
An image-computable model of speeded decision-making.
A new model links visual processing and decision-making. 🧠🔍 It enhances understanding of response times in cognitive tasks.
Improvement in adenoma detection rate by artificial intelligence-assisted colonoscopy: Multicenter quasi-randomized controlled trial.
AI-assisted colonoscopy significantly boosts adenoma detection rates, enhancing screening outcomes for patients. 🤖🔍
Environmental Sustainability and Cancer Imaging.
Exploring environmental sustainability in cancer imaging is crucial. 🌍 This review highlights strategies to reduce impact while improving patient outcomes. 📈