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AImedReport: A Prototype Tool to Facilitate Research Reporting and Translation of Artificial Intelligence Technologies in Health Care
1
Zitationen
14
Autoren
2024
Jahr
Abstract
The core of AI research in health care is carried out by AI data scientists, AI engineers, and clinicians; however, successfully evaluating and translating AI technologies into health care requires cross-collaboration beyond this group. Throughout ideation, development, and validation, successful translation requires engaging with many domains, including AI ethicists, quality management professionals, systems engineers, and more.1-5 We found through a scoping review that the prioritization of proactive evaluation of AI technologies, multidisciplinary collaboration, and adherence to investigation and validation protocols, transparency and traceability requirements, and guiding standards and frameworks are expected to help address present barriers to translation.
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