Embedding artificial intelligence in healthcare: An ethnographic exploration of an AI-based mHealth app through the lens of legitimacy.

Purpose: Skin cancer, a significant global health problem, imposes financial and workload burdens on the Dutch healthcare system. Artificial intelligence (AI) for diagnostic augmentation has gained momentum in dermatology, but despite significant research on adoption, acceptance, and implementation, we lack a holistic understanding of why technologies (do not) become embedded in the healthcare system. This study utilizes the concept of legitimacy, omnipresent but underexplored in health technology studies, to examine assumptions guiding the integration of an AI mHealth app for skin lesion cancer risk assessment in the Dutch healthcare system.

Artificial intelligence in mobile health for skin cancer diagnostics at home (AIM HIGH): a pilot feasibility study.

Background: Artificial intelligence (AI)-based mobile phone apps (mHealth) have the potential to streamline care for suspicious skin lesions in primary care. This study aims to investigate the conditions and feasibility of a study that incorporates an AI-based app in primary care and evaluates its potential impact.

Methods: We conducted a pilot feasibility study from November 22nd, 2021 to June 9th, 2022 with a mixed-methods design on implementation of an AI-based mHealth app for skin cancer detection in three primary care practices in the Netherlands (Rotterdam, Leiden and Katwijk).