Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …

This scoping review of randomised controlled trials on artificial intelligence (AI) in clinical
practice reveals an expanding interest in AI across clinical specialties and locations. The …

Background: Artificial intelligence (AI) has emerged as a promising tool in healthcare, with
numerous studies indicating its potential to perform as well or better than clinicians …

Abstract Machine learning is a powerful tool that can be used to solve a wide range of
problems in various applications and industries. The healthcare sector has faced specific …

Antibiotic resistance (ABR) is a dire global health crisis, undermining the efficacy of
antibiotics and ranking among the top ten public health threats according to the World …

Due to the increased burden of chronic medical conditions in recent years, artificial
intelligence (AI) is suggested in the medical field to optimize health care. Physicians could …

Patient data is used to drive an ecosystem of advanced digital tools in health care, like
predictive models or artificial intelligence‐based decision support. Patients themselves …

Objective To provide a comprehensive framework for value assessment of artificial
intelligence (AI) in radiology. Methods This paper presents the RADAR framework, which …

Foundation models (FM), which are large-scale artificial intelligence (AI) models that can
complete a range of tasks, represent a paradigm shift in AI. These versatile models …

Oral potentially malignant disorders (OPMDs) are mucosal conditions with an inherent
disposition to develop oral squamous cell carcinoma. Surgical management is the most …