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Date Trend snippet:
23 June 2021
Relevance date:
2020
Type of Treath or Oppertunity
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- Trend snippet: The advances in the field of artificial intelligence are changing the nature of medical care.
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The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
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The advances in the field of artificial intelligence are changing the nature of medical care.
AI in healthcare involves both the sectors of diagnostics and therapeutics. Applications are diverse, from mobile apps that make a diagnosis to surgical robots. Although human physicians cannot be replaced by AI systems in the foreseeable future, AI could play a keyrole in assisting physicians to make better clinical decisions. In some cases, intelligent systems could even replace human judgement in certain fields of healthcare.
More source info
AI in Healthcare Experts started to debate the topic of difficult decisions in complex clinical situations assisted by computers in 1959.9 AI in healthcare involves both the sectors of diagnostics and therapeutics.10 Applications are diverse, from mobile apps that make a diagnosis to surgical robots.11 The advertising hyperbole of AI medical devices, however, “has led to skepticism and misunderstanding of what is and is not possible” with ML.12 One should investigate the reasons for the doubts of credibility that affect the adoption of clinical decision support systems (CDSS). There are complexities that limit the ability to move ahead quickly. They reflect the ones of clinical practice: a) black boxes are unacceptable, since CDSS require transparency; b) time is a scarce resource, given that CDSS should be “efficient in terms of time requirements and must blend into the workflow of the busy clinical environment”; c) “complexity and lack of usability thwart use”, as CDSS “should be intuitive and simple to learn and use”; d) “relevance and insight are essential”, in fact “CDSS should reflect an understanding of the pertinent domain and the kinds of questions with which clinicians are likely to want assistance”; e) delivery of knowledge and information must be respectful, and CDSS “should offer advice in a way that recognizes the expertise of the user, making it clear that it is designed to inform and assist but not to replace a clinician”; and finally f) scientific foundation must be strong, as CDSS “should have rigorous, peer-reviewed scientific evidence establishing its safety, validity, reproducibility, usability, and reliability.”13 Although human physicians cannot be replaced by AI systems in the foreseeable future, AI could play a keyrole in assisting physicians to make better clinical decisions. In some cases, intelligent systems could even replace human judgement in certain fields of healthcare. As a matter of fact, a large volume of healthcare data can be computed efficiently by AI algorithms, in order to assist clinical practice. Intelligent systems can be equipped with learning and self-correcting skills to improve their accuracy, and support physicians in reducing diagnostic and therapeutic errors. Moreover, AI systems can be used so as to extract information from a large patient population and assist in making real-time inferences for a health risk alert and outcome prediction.14
