Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Tools based on machine learning (so-called artificial intelligence, AI) are increasingly being developed to diagnose malignant melanoma in dermatology. This contribution discusses (1) three scenarios for the use of AI in different medical settings, (2) shifts in competencies from dermatologists to...

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Bibliographic Details
Main Authors: Jan C. Zoellick, Hans Drexler, Konstantin Drexler
Format: Article
Language:deu
Published: oekom verlag GmbH 2024-03-01
Series:TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
Subjects:
melanoma
diagnosis
artificial intelligence
patient-doctor relationship
diagnostic accuracy
Online Access:https://www.tatup.de/index.php/tatup/article/view/7102

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