… Most clinical machine learning tools are based on … and clinical efficacy of clinical machine
learning tools approaches … analytical and clinical validation required of AI tools in health care. …

… clinical tools they choose to use, and in the selection of those tools, including AI-based tools…
making can result from the use of such tools that may threaten patient trust. The nature of AI …

… its actual connection to the intention to use AI in health care, have not been investigated. …
services (such as health care) significantly affect the use of AI clinical tools by individuals. …

… omnipresent across the entire spectrum of health care, including the 5 Ps spanning: payer, …
Up to 10% of global health care expenditure is due to fraud and abuse and AI-based tools …

… Because EHR data are collected during health care delivery (eg, clinic visits, … tool for
health care, and efforts should continue to bring innovations such as AI to clinical care …

… factors associated with sustainment of clinical practices, an … Clinical Sustainability Assessment
Tool (CSAT), designed to assess factors that contribute to sustainable practices in clinical …

… it requires clinical judgement. The Clinical Frailty Scale is now commonly used as a triage
tool to make important clinical decisions such as allocating scarce health care resources for …

… impacts of social isolation and loneliness (such as clinical tools and … of information targeted
to health care practitioners.1 … the health care system (and the role of clinicians and clinical …

… informatics at Columbia University who collaborated with IBM in its first health care efforts.
But Watson, he says, could keep up—and if turned into a tool for “clinical decision support,” it …

… means for the adoption of AI-driven tools into clinical practice. … We conclude that omitting
explainability in clinical decision … when it comes to health care and the individual patient [12]. As …