David Samhammer
Short CV
David Samhammer is an associated researcher at the Chair of Systematic Theology II (Ethics) at the Friedrich-Alexander-University Erlangen-Nuremberg. Before his master’s degree in sociology, he studied social science for intercultural relations in Fulda and Budapest. Until February 2023 he was part of the project “Al-Driven Decision-Making in the Clinic. Ethical, Legal and Societal Challenges“ (vALID), where he was responsible for project coordination, analysing qualitative data and the development of a governance perspective concerning AI-driven decision making in the clinic. From March 2023 to October 2023, he was engaged in the project “Prospectively Investigating the Impact of AI on Shared Decision Making in Post-Kidney Transplant Care” (PRIMA-AI), which focuses on the socio-philosophical and methodological aspects of the use of AI for the physician-patient relationship.
Main field of research
- Ethics of Artificial Intelligence
- Qualitative research methods
Selected bibliography
- , , , , , , , , , :
Klinische Entscheidungsfindung mit Künstlicher Intelligenz - Ein interdisziplinärer Governance-Ansatz
Berlin, Heidelberg: Springer, 2023
(Essentials)
ISBN: 9783662670071
DOI: 10.1007/978-3-662-67008-8
- , , , , , , , , , :
Prospectively investigating the impact of AI onshared decision-making in post kidney transplant care (PRIMA-AI): protocol for a longitudinal qualitative study among patients, their support persons and treating physicians at a tertiary care centre
In: BMJ Open 14 (2024), p. e081318-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2023-081318 - , , , , , , , , , , :
Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial
In: JMIR Research Protocols 13 (2024), Article No.: e54857
ISSN: 1929-0748
DOI: 10.2196/54857 - , , , , , , :
Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation
In: AI and Society (2024)
ISSN: 0951-5666
DOI: 10.1007/s00146-023-01825-8 - , , :
Künstliche Intelligenz in der Medizin: Von Entlastungen und neuen Anforderungen im ärztlichen Handeln
In: Ethik in der Medizin (2023)
ISSN: 0935-7335
DOI: 10.1007/s00481-023-00789-z - , , , :
Towards an Ethics for the Healthcare Metaverse
In: Journal of Metaverse 3 (2023), p. 181-189
ISSN: 2792-0232
DOI: 10.57019/jmv.1318774 - , , , , , , , , , , :
When performance is not enough-A multidisciplinary view on clinical decision support
In: PLoS ONE 18 (2023), p. e0282619-
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0282619 - , :
For the sake of multifacetedness. Why artificial intelligence patient preference prediction systems shouldn’t be for next of kin
In: Journal of Medical Ethics (2023)
ISSN: 0306-6800
DOI: 10.1136/jme-2022-108775 - , , , , , , , :
"Nothing works without the doctor:" Physicians' perception of clinical decision-making and artificial intelligence
In: Frontiers in Medicine 9 (2022)
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.1016366
URL: https://www.frontiersin.org/articles/10.3389/fmed.2022.1016366/full
- , , , , , , , , , :
Prospektive Untersuchung der Auswirkungen von Künstlicher Intelligenz auf Shared Decision Making nach Nierentransplantationen
In: Bundesministerium für Bildung und Forschung (ed.): 7. Statusseminar. ELSA der Lebenswissenschaften. 20. & 21. Juni 2023, BMBF, 2023, p. 49
URL: https://projekttraeger.dlr.de/media/gesundheit/GF/Abstractband_ELSA_Statusseminar2023.pdf
- , , :
Auswirkungen von Künstlicher Intelligenz und Robotik auf Pflegeberufe
In: Fachbereich Gesellschaft und Soziales der Diözese Linz (ed.): Interesse. Soziale Information, Linz: , 2023, p. 1-2
URL: https://www.dioezese-linz.at/dl/oqMuJKJkkmLklJqx4lJK/Interesse_4_2023_2-Druck_ok_pdf - , , , , , , , , , , , , , :
Was ist Büroarbeit? Einblicke in die Alltagspraxis. Qualitative und quantitative Ergebnisse aus einem Lehrforschungsprojekt, betreut von Marco Blank und Sabine Pfeiffer
(2020)
URL: https://www.labouratory.de/files/downloads/WP-03-2020-Lehrforschungsprojekt-Buero.pdf