Frank Ursin
Biographic Data
| ID | 6700939 |
|---|---|
| NAME | Frank Ursin |
| GIVEN NAMES | Frank |
| FAMILY NAME | Ursin |
| SIGNATURE | URSIN F |
| AFFILIATIONS | Medizinische Hochschule Hannover |
| ORCID | 0000-0002-9378-3811 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Large language models for surgical informed consent
Informed consent in surgical settings requires not only the accurate communication of medical information but also the establishment of trust through empathic engagement. The use of large language models (LLMs) offers a novel opportunity to enhance the informed consent process by combining advanced information retrieval capabilities with simulated emotional responsiveness. However, the ethical implications of simulated empathy raise concerns abou…
Algorithmic nudging for clinical trial participation
While large language models (LLMs) hold potential for informing prospective trial participants, their deployment raises critical questions regarding patient autonomy and the integrity of informed consent. This paper examines how LLM-mediated communication may influence trial participation decisions. We situate such influence along a continuum from ethically permissible persuasion to impermissible manipulation and coercion, highlighting the concep…
Digital bioethics
The uptake of social science methods by bioethics significantly expanded its methodological spectrum, raising new theoretical, methodological, and practical questions. Recently, we are witnessing another trend, adding advanced data science methods to bioethics' toolkit to aid, for example, in online data analysis, support scholarly writing, and inform clinical ethics. This article explores the emerging field of Digital Bioethics across its dimens…
Metaphors in digital radiology
The advent of artificial intelligence (AI) in radiology triggered identity-threatening fears for radiologists of becoming replaced by machines. Beyond this competitive narrative of humans versus AI, a collaborative narrative for human–AI-interaction emerged with a new metaphorical landscape both for the functions of AI and the roles of radiologists. This article aims to raise awareness of the ethical implications of figurative language in human–A…
Trust and Artificial Intelligence in the Doctor-Patient Relationship
While trust is foundational to the doctor-patient relationship, the introduction of AI into healthcare settings poses the risk of eroding this trust, and such erosion cannot be countered simply by appealing to the notion of “trustworthy AI.” We argue that trust presupposes specific epistemic attitudes that cannot be meaningfully applied to AI systems. Accordingly, our focus is not on specifying which capabilities AI must exhibit in order to appea…
Non-empirical methods for ethics research on digital technologies in medicine, health care and public health
Bioethics has developed approaches to address ethical issues in health care, similar to how technology ethics provides guidelines for ethical research on artificial intelligence, big data, and robotic applications. As these digital technologies are increasingly used in medicine, health care and public health, thus, it is plausible that the approaches of technology ethics have influenced bioethical research. Similar to the “empirical turn” in bioe…
The birth of the “digital turn” in bioethics
The so‐called “empirical turn” in bioethics gave rise to extensive theoretical and methodological debates and has significantly shaped the research landscape from two decades ago until the present day. Attentive observers of the evolution of the bioethical research field now notice a new trend towards the inclusion of data science methods for the treatment of ethical research questions. This new research domain of “digital bioethics” encompasses …
Explicability of artificial intelligence in radiology
Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black‐box character of machine learning algorithms. The centrality of this element invites reflection on the concept…
Rezension zu
Impotence and the Natural Explanation of Bewitchment
Wolfgang Reichart (1486-c. 1547) was a humanist and a town physician of Ulm. His work consists of a largely unpublished collection of nearly 600 texts . So far, it has been claimed that this compilation only consists of letters and poems. However, we have found a medical treatise, wherein Reichart discusses a case of impotence, its pathophysiology and therapy. One of the crucial aspects in this text is the relationship it describes between witchc…
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Rezension zu
Impotence and the Natural Explanation of Bewitchment
Wolfgang Reichart (1486-c. 1547) was a humanist and a town physician of Ulm. His work consists of a largely unpublished collection of nearly 600 texts . So far, it has been claimed that this compilation only consists of letters and poems. However, we have found a medical treatise, wherein Reichart discusses a case of impotence, its pathophysiology and therapy. One of the crucial aspects in this text is the relationship it describes between witchc…
Explicability of artificial intelligence in radiology
Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black‐box character of machine learning algorithms. The centrality of this element invites reflection on the concept…
The birth of the “digital turn” in bioethics
The so‐called “empirical turn” in bioethics gave rise to extensive theoretical and methodological debates and has significantly shaped the research landscape from two decades ago until the present day. Attentive observers of the evolution of the bioethical research field now notice a new trend towards the inclusion of data science methods for the treatment of ethical research questions. This new research domain of “digital bioethics” encompasses …
Non-empirical methods for ethics research on digital technologies in medicine, health care and public health
Bioethics has developed approaches to address ethical issues in health care, similar to how technology ethics provides guidelines for ethical research on artificial intelligence, big data, and robotic applications. As these digital technologies are increasingly used in medicine, health care and public health, thus, it is plausible that the approaches of technology ethics have influenced bioethical research. Similar to the “empirical turn” in bioe…
Metaphors in digital radiology
The advent of artificial intelligence (AI) in radiology triggered identity-threatening fears for radiologists of becoming replaced by machines. Beyond this competitive narrative of humans versus AI, a collaborative narrative for human–AI-interaction emerged with a new metaphorical landscape both for the functions of AI and the roles of radiologists. This article aims to raise awareness of the ethical implications of figurative language in human–A…
Trust and Artificial Intelligence in the Doctor-Patient Relationship
While trust is foundational to the doctor-patient relationship, the introduction of AI into healthcare settings poses the risk of eroding this trust, and such erosion cannot be countered simply by appealing to the notion of “trustworthy AI.” We argue that trust presupposes specific epistemic attitudes that cannot be meaningfully applied to AI systems. Accordingly, our focus is not on specifying which capabilities AI must exhibit in order to appea…
Large language models for surgical informed consent
Informed consent in surgical settings requires not only the accurate communication of medical information but also the establishment of trust through empathic engagement. The use of large language models (LLMs) offers a novel opportunity to enhance the informed consent process by combining advanced information retrieval capabilities with simulated emotional responsiveness. However, the ethical implications of simulated empathy raise concerns abou…
Algorithmic nudging for clinical trial participation
While large language models (LLMs) hold potential for informing prospective trial participants, their deployment raises critical questions regarding patient autonomy and the integrity of informed consent. This paper examines how LLM-mediated communication may influence trial participation decisions. We situate such influence along a continuum from ethically permissible persuasion to impermissible manipulation and coercion, highlighting the concep…
Digital bioethics
The uptake of social science methods by bioethics significantly expanded its methodological spectrum, raising new theoretical, methodological, and practical questions. Recently, we are witnessing another trend, adding advanced data science methods to bioethics' toolkit to aid, for example, in online data analysis, support scholarly writing, and inform clinical ethics. This article explores the emerging field of Digital Bioethics across its dimens…
Artificial Intelligence in Healthcare and Education (7 works) · Law (5 works) · Political science (5 works) · Bioethics (4 works) · Engineering (4 works) · Engineering ethics (4 works) · Epistemology (4 works) · Ethics and Social Impacts of AI (4 works) · Ethics in Clinical Research (4 works) · Medicine (4 works)