Artificial intelligence—An opportunity to optimise the care of acneic patients

The healthcare and medical sector is particularly affected by the development of artificial intelligence (AI) systems. AI techniques are now widely used in medicine, with significant implications for professional practice, professional–patient relationship organisation system. most areas radiology (particularly field oncology), ophthalmology, cardiology dermatology, where quite advances sight patients. use these intended to help professionals better assess disease and/or its severity as accurately possible, which an essential step determining therapeutic treatment. According latest study published EADV, almost 23 million adults Europe suffer from acne.1 evaluation also confirmed that acne not exclusively treated dermatologist, but general practitioner (GP), allergist, paediatrician or pharmacist involved treatment process. These professionals, who skin specialists, may face difficulties when it comes assessing acne. In 2020, algorithm was developed acne, can be via a smartphone application.2 This based on Global Evaluation Acne (GEA) scale has been published3 allows quickly measured different lesions identified. It seemed useful evaluate attitudes behaviour towards assessment application. survey conducted Internet among national samples practicing physicians pharmacists countries concerned. each four incuded (France, United Kingdom, States America, Russia), minimum 110 doctors (50 GP, 30 dermatologists, paediatricians) were interviewed total 566 interviews (Figure 1) 41.1% nondermatology (NDHPs) reported difficulty compared 19.8% dermatologists (Table 1). A 37.5% NDHPs they rarely never cases their practice. Only 12% did. After learning about images features application, 90.3% said found application useful, 88.1% planned 82.7% ask patients download it. figures 74.4%, 69.4% 72.7% respectively For 78.2% NDHPs, main point interest this using Severity Scale (GEA scale). 89.7% believe would facilitate adherence recommendations severity. 92% think allow them evolution between two appointments (as 63.6% dermatologists). results show diagnosis problems could enter clinical because easy-to-use seems daily nonexpert practitioners confirm consolidate prescription. Finally, specialist optimise consultation time given context shortage specialists all European countries. Charles Taïeb contributed construction administration questionnaires. Taïeb, Sophie Seite Anne Laure Demessant analysis writing article. authors thank H Chevalier (HC-Conseils) technical assistance. project funded La Roche-Posay Dermatological Laboratories, France. Seité, employees Roche-Posay, Taieb no conflict publication. Not applicable. data support findings available corresponding author upon reasonable request.