Artificial Intelligence Medical Compendium

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

Showing 38,361 to 38,370 of 223,469 articles

A Comprehensive Review of the Revolutionary Potential of Blockchain in Safe, Secure, and Sustainable Pharmaceutical Operations.

Pharmaceutical research
BACKGROUND: Pharmaceutical research and industrial operations generate vast volumes of sensitive data across drug discovery, formulation development, manufacturing, and distribution, necessitating secure, transparent, and reliable digital infrastruct... read more 

Artificial Intelligence in the Internal Medicine Clerkship: Results of a National Survey.

Journal of general internal medicine
PURPOSE: Artificial intelligence (AI) in medical education is rapidly evolving. The nascent literature about the use of AI in clerkships is sparse. In this national study, we explore how internal medicine (IM) clerkship directors (CDs) conceptualize ... read more 

Uncertainty aware and explainable construction cost prediction using a hybrid probabilistic learning model.

Scientific reports
This paper presents a unified probabilistic framework for construction cost forecasting, NGBoost-ETR (Natural Gradient Boosting with Extra Trees base learners) that delivers predictive accuracy, calibrated uncertainty, and SHAP-based interpretability... read more 

Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study.

Scientific reports
Accurate early detection of clinically significant prostate cancer is crucial for improving patient outcomes. However, traditional diagnostic methods such as Digital Rectal Exam and Prostate-Specific Antigen (PSA) tests often lack the sensitivity and... read more 

ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing.

Scientific reports
As urban waste issues become increasingly severe, traditional waste classification methods can no longer meet the demands for efficiency and accuracy. Deep learning technology has gradually become a key solution to this problem, yet improving classif... read more 

Optimized Lightweight U-Net and YOLACT framework for multi-disease severity detection in pome fruit leaves.

Scientific reports
The growing global demand for food production, coupled with the increasing threat of plant diseases, necessitates advanced and automated solutions for crop health monitoring. Among various crops, pome fruits such as apples and pears are widely cultiv... read more