… impetus to develop new artificial intelligence (AI) algorithms.[15] … uses data already available
during the clinical assessment, is … However, there are barriers to AI integration in the clinical …

Background Artificial intelligence-augmented electrocardiogram (AI-ECG) algorithms have
been developed from the standard 12-lead ECG and validated for the recognition of left …

This study examines the current state of artificial intelligence (AI)-based technology
applications and their impact on the healthcare industry. In addition to a thorough review of the …

… Long unread case queues in busy departments can delay diagnosis and are particularly
problematic if clinical presentation is not typical. One can imagine a suite of AI programs …

… and more complex needs and challenges in clinical practice, AI is also … of clinical processes
including diagnosis and detection, monitoring and prognosis, to make more informed clinical …

… to clinical decision making. We comment that the road map starts and ends with clinical
activities… to be motivated by clinical problems and be applied to assist clinical practice in the end. …

… While the growing importance and relevance of artificial intelligence (AI) is indisputable,
the term itself has no universally agreed upon definition [1,2]. AI commonly refers to the …

… Ninety consecutive adult and paediatric patients referred to an emergency clinic at a single
UK dermatology department between June and December 2022 were screened for inclusion. …

… on behalf of the physician, who makes the final clinical decision), and cost savings by optimising
… Although AI is slated to benefit many areas of clinical health sciences (eg, oncology and …

… Artificial intelligence represents of the major current research fields in clinical medicine, in
… This research field is covered by the so-called explainable artificial intelligence domain. It …