In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …

The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

This review synthesizes the literature on explaining machine-learning models for digital
health data in precision medicine. As healthcare increasingly tailors treatments to individual …

Machine Learning (ML) methods have become important for enhancing the performance of
decision-support predictive models. However, class imbalance is one of the main …

The increasing threat of antimicrobial resistance has prompted a need for more effective
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …

Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid
diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven …

Can AI substitute a human physician's second opinion? Recently the Journal of Medical
Ethics published two contrasting views: Kempt and Nagel advocate for using artificial …

Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …