Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH)-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue: Volume:12 Page:100052
ISSN:2666-6596
Container-title:Journal of Responsible Technology
language:en
Short-container-title:Journal of Responsible Technology

Author:

Winter Peter^ORCID,Carusi Annamaria^ORCID

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference47 articles.

1. Academy of Medical Sciences (AoMS). (2018). “Our data-driven future in healthcare: People and partnerships at the heart of health-related technologies.” https://acmedsciacuk/file-download/74634438 (accessed May 15, 2020).

2. The impact of artificial intelligence in medicine on the future role of the physician;Ahuja;PeerJ,2019

3. Artificial intelligence and human trust in healthcare: Focus on clinicians;Asan;Journal of Medical Internet Research,2020

4. High levels of healthcare utilization prior to diagnosis in idiopathic pulmonary arterial hypertension support the feasibility of an early diagnosis algorithm: The SPHInX project;Bergemann;Pulmonary Circulation,2018

5. The sociology of expectations in science and technology;Borup;Technology Analysis & Strategic Management,2006

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