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Dermatology and Therapy

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Open Access 22-09-2023 | Artificial Intelligence | Brief Report

Public Perceptions, Factors, and Incentives Influencing Patient Willingness to Share Clinical Images for Artificial Intelligence-Based Healthcare Tools

Authors: Sophia Ly, Sophia Reyes-Hadsall, Lara Drake, Guohai Zhou, Caroline Nelson, John S. Barbieri, Arash Mostaghimi

Published in: Dermatology and Therapy | Issue 11/2023

Abstract

Introduction

The use of artificial intelligence (AI) as a diagnostic and decision-support tool is increasing in dermatology. The accuracy of image-based AI tools is incumbent on images in training sets, which requires patient consent for sharing. This study aims to understand individuals’ willingness to share their images for AI and variables that influence willingness.

Methods

In an online survey administered via Amazon Mechanical Turk, sketches of the hand, face, and genitalia assigned to two use cases employing AI (research vs. personal medical care) were shown. Participants rated willingness to share the image on a 7-point Likert scale.

Results

Of the 1010 participants, individuals were most willing to share images of their hands (81.2%), face (70.3%), and lastly genitals (male: 56.8%, female: 46.7%). Individuals were more willing to share for personal care versus research (OR 0.77 [95% CI 0.69–0.86]). Willingness to share was higher among males, participants with higher education, tech-savvy participants, and frequent social media users. Most participants were willing to share images if offered monetary compensation, with face images requiring the highest payment (mean $18.25, SD 20.05). Only 38.7% of individuals refused image sharing regardless of any monetary compensation, with the majority of this group unwilling to share images of the genitals.

Conclusions

This study demonstrates overall public support for sharing images to AI-based tools in dermatology, with influencing factors including image type, context, education level, technology comfort, social media use, and monetary compensation.

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Title: Public Perceptions, Factors, and Incentives Influencing Patient Willingness to Share Clinical Images for Artificial Intelligence-Based Healthcare Tools
Authors: Sophia Ly
Sophia Reyes-Hadsall
Lara Drake
Guohai Zhou
Caroline Nelson
John S. Barbieri
Arash Mostaghimi
Publication date: 22-09-2023
Publisher: Springer Healthcare
Keywords: Artificial Intelligence
General Dermatology
Published in: Dermatology and Therapy / Issue 11/2023
Print ISSN: 2193-8210
Electronic ISSN: 2190-9172
DOI: https://doi.org/10.1007/s13555-023-01031-w

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Abstract

Introduction

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