Nature Medicine volume 27, page 1328 (2021)Cite this article 9412 Accesses 121 Altmetric Metrics details AI algorithms used for diagnosis and prognosis must be explainable and must not rely on a black box. This is a preview of subscription content, access via your institution Access options ...
The explainable AI (xAI) community develops methods, e.?g. to highlight which input parameters are relevant for a result; however, in the medical domain there is a need for causability: In the same way that usability encompasses measurements for the quality of use, causability encompasses ...
Based on this, we think there are four potential implications for research on the use of AI in medicine. First, it has already been noted that information about the use of AI tools should be disclosed to patients, and that a set of guidelines for doing so should be developed that are ...
Explore the trends in the development of precision medicine, smart healthcare, regenerative medicine, and targeted therapy. Healthcare Data Literacy University of California, Davis via Coursera Develop data literacy skills for healthcare, covering industry basics, data types, terminologies, and integration...
Influence of Employees’ Intention to Adopt AI Applications and Big Data Analytical Capability on Operational Performance in the High-Tech Firms 2024, Journal of the Knowledge Economy Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine 2024...
manufacturing of advanced therapy medicinal products, such as gene and cell therapies. Its ability to automate critical steps in the manufacturing process, improving the scalability and reliability of treatments, is especially beneficial in hospital settings, making personalized medicin...
This keynote explores the groundbreaking progress in genomic medicine, featuring real-world stories of families impacted by these discoveries. Learn about the informatics challenges and innovative solutions required to scale genomic screening for national and global implementation, reshaping the future of ...
the institution of medicine, a hard-won trust involving "the long years of study and apprenticeship that physicians undergo, the state and board certifications, peer oversight, professional codes, and above all, the system's interest (whatever the source) in our well- being" (2011, p. 36)....
Our work advances the field of human-computer collaboration in medicine by developing a multimodal XAI that generates human-like explanations to support its decisions and evaluating its influence on clinicians. The EU Parliament recommends that future AI algorithm development should involve continual collab...
Self-aware AI has yet to be created, so it is not fully known what will happen if or when this development occurs. Some suggest self-aware AI may become a helpful counterpart to humans in everyday living, while others suggest that it may act beyond human control and purposely harm humans...