Universität zu Köln

Hedderich, Dennis M., Keicher, Matthias, Wiestler, Benedikt ORCID: 0000-0002-2963-7772, Gruber, Martin J., Burwinkel, Hendrik, Hinterwimmer, Florian ORCID: 0000-0002-0273-0643, Czempiel, Tobias, Spiro, Judith E., Pinto dos Santos, Daniel ORCID: 0000-0003-4785-6394, Heim, Dominik ORCID: 0000-0001-8463-1544, Zimmer, Claus, Rueckert, Daniel, Kirschke, Jan S. and Navab, Nassir (2021). AI for Doctors-A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging. Healthcare, 9 (10). BASEL: MDPI. ISSN 2227-9032

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Abstract

Successful adoption of artificial intelligence (AI) in medical imaging requires medical professionals to understand underlying principles and techniques. However, educational offerings tailored to the need of medical professionals are scarce. To fill this gap, we created the course AI for Doctors: Medical Imaging . An analysis of participants' opinions on AI and self-perceived skills rated on a five-point Likert scale was conducted before and after the course. The participants' attitude towards AI in medical imaging was very optimistic before and after the course. However, deeper knowledge of AI and the process for validating and deploying it resulted in significantly less overoptimism with respect to perceivable patient benefits through AI (p = 0.020). Self-assessed skill ratings significantly improved after the course, and the appreciation of the course content was very positive. However, we observed a substantial drop-out rate, mostly attributed to the lack of time of medical professionals. There is a high demand for educational offerings regarding AI in medical imaging among medical professionals, and better education may lead to a more realistic appreciation of clinical adoption. However, time constraints imposed by a busy clinical schedule need to be taken into account for successful education of medical professionals.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hedderich, Dennis M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Keicher, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED Wiestler, Benedikt UNSPECIFIED orcid.org/0000-0002-2963-7772 UNSPECIFIED Gruber, Martin J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Burwinkel, Hendrik UNSPECIFIED UNSPECIFIED UNSPECIFIED Hinterwimmer, Florian UNSPECIFIED orcid.org/0000-0002-0273-0643 UNSPECIFIED Czempiel, Tobias UNSPECIFIED UNSPECIFIED UNSPECIFIED Spiro, Judith E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto dos Santos, Daniel UNSPECIFIED orcid.org/0000-0003-4785-6394 UNSPECIFIED Heim, Dominik UNSPECIFIED orcid.org/0000-0001-8463-1544 UNSPECIFIED Zimmer, Claus UNSPECIFIED UNSPECIFIED UNSPECIFIED Rueckert, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Kirschke, Jan S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Navab, Nassir UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-578747
DOI:	10.3390/healthcare9101278
Journal or Publication Title:	Healthcare
Volume:	9
Number:	10
Date:	2021
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2227-9032
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language Health Care Sciences & Services; Health Policy & Services Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/57874