Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in
healthcare. However, the impact of AI-generated advice on physicians' decision-making is …

Artificial intelligence (AI) models for decision support have been developed for clinical
settings such as radiology, but little work evaluates the potential impact of such systems. In …

ABSTRACT While Artificial Intelligence (AI) algorithms have achieved performance levels
comparable to human experts on various predictive tasks, human experts can still access …

The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …

Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic
decisions. Compared with rule-based systems, however, these systems are less transparent …

Users of artificial intelligence (AI) can become overreliant on AI, negatively affecting the
performance of human-AI teams. For a future in which radiologists use interpretive AI tools …

The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

Objectives We investigated the attitudes of radiologists, information technology (IT)
specialists, and industry representatives on artificial intelligence (AI) and its future impact on …

Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in automatic …

Results of radiology imaging studies are not typically comprehensible to patients. With the
advances in artificial intelligence (AI) technology in recent years, it is expected that AI …