Artificial intelligence–and machine learning (AI/ML)–basedtechnologiesaimtoimprovepatientcar…
by an individual patient and by the collective experience ofmanypatients …

Artificial intelligence (AI) and Machine learning (ML) systems in medicine are poised to
significantly improve health care, for example, by offering earlier diagnoses of diseases or …

Artificial intelligence (AI) and deep learning are entering the mainstream of clinical medicine.
For example, in December 2016, Gulshan et al1 reported development and validation of a …

Artificial intelligence/machine learning (AI/ML)-enabled medical devices (AI/ML devices,
hereafter) offer exciting new opportunities to continue the advancement of healthcare. These …

Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics,
machine learning) have entered medicine's “magic bullet” phase. Desperate for a solution …

Artificial intelligence (AI) and increased computing power have long held the promise of
improving prediction and prognostication in health care (1). Now, use of predictive analytics …

At the point of care, artificial intelligence (AI) algorithms have been developed to augment
diagnostic decisions and suggest appropriate care pathways, 1 by leveraging complex …

Background Machine learning (ML), a type of artificial intelligence (AI) technology that uses
a data-driven approach for pattern recognition, has been shown to be beneficial for many …

Overthepastdecade, machinelearningtechniqueshave made substantial advances in many
domains. In health care, global interest in the potential of machine learning hasincreased; …

Artificial intelligence and machine learning (AI/ML) algorithms are increasingly developed in
health care for diagnosis and treatment of a variety of medical conditions (1). However …