Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Neonatal intestinal diseases often have an insidious onset and can lead to poor outcomes...
Active learning using models built on binding potency predictions from free energy perturbation (AL-...
Since the early 1970s, technology has increasingly become integrated into the healthcare field. Toda...
This study introduces PROFIS, a new generative model capable of the design of structurally novel and...
The prevention and control of emerging and reemerging infectious diseases are crucial for national b...
The purpose of this study was to assess whether a 3-min 2D knee protocol can meet the needs for cli...
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- an...
AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), pa...
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medi...
Catalytic constant (Kcat) is to describe the efficiency of catalyzing reactions. The Kcat value of a...
Purpose To develop and evaluate machine learning and deep learning-based models for automated protoc...
Purpose To assess the effect of scanner manufacturer and scanning protocol on the performance of dee...
Artificial Intelligence (AI) is a dynamic area of computer science that is constantly expanding its ...
To evaluate the clinical performance of a Protocol Recommendation System (PRS) automatic protocolli...
To evaluate the accuracy of a Bidirectional Encoder Representations for Transformers (BERT) Natural...
OBJECTIVE: To propose a new protocol for personalized mandibular reconstruction assisted by three-di...
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-t...
Machine learning (ML) is rapidly gaining traction in many areas of experimental molecular science fo...
This document defines the key considerations for developing and reporting an artificial intelligence...
The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...
BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for ...