Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH)

Autor: Peter Winter, Annamaria Carusi
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Responsible Technology, Vol 12, Iss , Pp 100052- (2022)
Druh dokumentu: article
ISSN: 2666-6596
DOI: 10.1016/j.jrt.2022.100052
Popis: The expectations of professionals working on the development of healthcare Artificial Intelligence (AI) technologies and the patients who will be affected by them have received limited attention. This paper reports on a Foresight Workshop with professionals involved with pulmonary hypertension (PH) and a Focus Group with members of a PH patient group, to discuss expectations of AI development and implementation. We show that while professionals and patients had similar expectations of AI, with respect to the priority of early diagnosis; data risks of privacy and reuse; and responsibility, other expectations differed. One important point of difference was in the attitude toward using AI to point up other potential health problems (in addition to PH). A second difference was in the expectations regarding how much clinical professionals should know about the role of AI in diagnosis. These findings allow us to better prepare for the future by providing a frank appraisal of the complexities of AI development with foresight, and the anxieties of key stakeholders.
Databáze: Directory of Open Access Journals