This paper is in the following e-collection/theme issue:

Pilot studies (ehealth) (325) Web-based and Mobile Health Interventions (4018) Skin Cancer and Melanoma Prevention (123) mHealth for Screening (296) Artificial Intelligence (2129)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46402, first published .
Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey

Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey

Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey

Authors of this article:

Inga Jagemann1 Author Orcid Image ;   Ole Wensing1 Author Orcid Image ;   Manuel Stegemann1 Author Orcid Image ;   Gerrit Hirschfeld1 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Jagemann I, Stegemann M, von Brachel R, Hirschfeld G. Gender differences in preferences for mental health apps in the general population – a choice-based conjoint analysis from Germany. BMC Psychiatry 2024;24(1) View
  2. Kuppanda P, Janda M, Soyer H, Caffery L. What Are Patients’ Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review. Journal of Investigative Dermatology 2025;145(8):1858 View
  3. Arlinghaus C, Straßmann C, Dix A. Increased morality through social communication or decision situation worsens the acceptance of robo-advisors. Computers in Human Behavior: Artificial Humans 2025;5:100173 View
  4. Savira F, Frith M, Nguyen D, Norman R, Senyel D, Boyd J, Robinson S. The use of discrete choice experiments in evaluating telehealth: a systematic review. Health Policy 2025;161:105421 View
  5. Springer F, Hambsch P, Mehnert-Theuerkauf A, Nicolay N. Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes. Frontiers in Oncology 2025;15 View
  6. Zhang M, Chu R, Liu C, Zhang S, Ren X. Navigating the AI tide: challenges, opportunities, and future directions for early-career dermatologists. Frontiers in Medicine 2025;12 View
  7. Har C, Gao Q, Chen W, Wang Y. Public Preferences for Emerging Cancer Screening Modalities: A Systematic Review of Discrete Choice Experiments. The Patient - Patient-Centered Outcomes Research 2025 View
  8. Liu Y, Wang Z, Peng B. Understanding the Impact of AI Doctors’ Information Quality on Patients’ Intentions to Adopt AI for Independent Diagnosis: Scenario-Based Experimental Study. Journal of Medical Internet Research 2025;27:e62885 View
  9. Vo V, Woode M, Carter S, Degeling C, Chen G. Unravelling Public Preferences for the Use of Artificial Intelligence Mobile Health Applications in Australia. Value in Health 2025;28(11):1696 View