4.5 Article

Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey

Journal

CLINICAL AND EXPERIMENTAL DERMATOLOGY
Volume 47, Issue 3, Pages 542-546

Publisher

WILEY
DOI: 10.1111/ced.14969

Keywords

-

Categories

Ask authors/readers for more resources

The study aimed to gather patient opinions on the use of AI in dermatology for diagnosing skin cancer. While many patients were not concerned about AI technology being used by specialists for diagnosis, the majority still considered it important for dermatologists to be involved in confirming and discussing cancer diagnoses.
Background Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health professionals and the general public, their uptake in healthcare will become more acceptable. National Health Service England recognizes the potential of AI for healthcare but emphasizes that patient-centred care should be at the forefront of these technological advancements. Aim To obtain opinions of patients on the use of AI in a dermatology setting, when aiding the diagnosis of skin cancers. Methods A cross-sectional 14-point questionnaire was handed out to patients attending dermatology outpatient skin cancer clinics in two UK hospitals, between March and August 2018. Results In total, 603 patient questionnaires were completed. Nearly half (47%; n = 282) of respondents were not concerned if AI technology was used by a skin specialist to aid skin cancer diagnosis. However, the majority (81%; n = 491) of respondents, considered it important for a dermatologist to examine and confirm a diagnosis and to be present for discussion of a cancer diagnosis. Conclusion Although the majority of respondents were not reluctant about the use of AI for skin cancer diagnosis, respondents still considered it important that dermatologists are involved in the diagnosis and/or confirmation of skin cancer. Furthermore, the study results demonstrate that personal interaction with a clinician is important. This is in keeping with proposals that AI be used as an adjunctive technology to increase accuracy of skin cancer diagnoses, but not as a substitute for a dermatologist.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available