RESUMO
BACKGROUND: The use of artificial intelligence (AI) algorithms for the diagnosis of skin diseases has shown promise in experimental settings but has not been yet tested in real-life conditions. OBJECTIVE: To assess the diagnostic performance and potential clinical utility of a 174-multiclass AI algorithm in a real-life telemedicine setting. METHODS: Prospective, diagnostic accuracy study including consecutive patients who submitted images for teledermatology evaluation. The treating dermatologist chose a single image to upload to a web application during teleconsultation. A follow-up reader study including nine healthcare providers (3 dermatologists, 3 dermatology residents and 3 general practitioners) was performed. RESULTS: A total of 340 cases from 281 patients met study inclusion criteria. The mean (SD) age of patients was 33.7 (17.5) years; 63% (n = 177) were female. Exposure to the AI algorithm results was considered useful in 11.8% of visits (n = 40) and the teledermatologist correctly modified the real-time diagnosis in 0.6% (n = 2) of cases. The overall top-1 accuracy of the algorithm (41.2%) was lower than that of the dermatologists (60.1%), residents (57.8%) and general practitioners (49.3%) (all comparisons P < 0.05, in the reader study). When the analysis was limited to the diagnoses on which the algorithm had been explicitly trained, the balanced top-1 accuracy of the algorithm (47.6%) was comparable to the dermatologists (49.7%) and residents (47.7%) but superior to the general practitioners (39.7%; P = 0.049). Algorithm performance was associated with patient skin type and image quality. CONCLUSIONS: A 174-disease class AI algorithm appears to be a promising tool in the triage and evaluation of lesions with patient-taken photographs via telemedicine.
Assuntos
Dermatologia , Dermatopatias , Telemedicina , Adulto , Inteligência Artificial , Feminino , Humanos , Masculino , Redes Neurais de Computação , Estudos Prospectivos , Dermatopatias/diagnósticoRESUMO
Hidradenitis suppurativa has been described as a chronic, recurrent, and disabling inflammatory disease involving the entire hair follicle. Several treatments, including photodynamic therapy, have been used, but the results have been inconsistent and recurrence is high. In this prospective study, we evaluated disease severity, quality of life, and treatment tolerance in 5 patients with moderate to severe hidradenitis suppurativa treated with photodynamic therapy using 5-aminolevulinic acid and a 635-nm light source. Treatment effectiveness was evaluated using the Sartorius severity score, the Dermatology Life Quality Index, and a visual analog scale for pain and disease activity. Significant improvements were observed with all 3 instruments and the effects remained visible at 8 weeks. Our results suggest that photodynamic therapy with 5-aminolevulinic acid and a light wavelength of 635 nm could reduce disease severity and improve quality of life in patients with difficult-to-treat hidradenitis suppurativa.