Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy

OBJECTIVE: To assess the cost-effectiveness of artificial intelligence (AI) for supporting clinicians in detecting and grading diseases in dermatology, dentistry, and ophthalmology. IMPORTANCE: AI has been referred to as a facilitator for more precise, personalized, and safer health care, and AI alg...

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Detalles Bibliográficos
Autores principales: Gomez Rossi, Jesus, Rojas-Perilla, Natalia, Krois, Joachim, Schwendicke, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924723/
https://www.ncbi.nlm.nih.gov/pubmed/35289862
http://dx.doi.org/10.1001/jamanetworkopen.2022.0269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924723/
https://www.ncbi.nlm.nih.gov/pubmed/35289862
http://dx.doi.org/10.1001/jamanetworkopen.2022.0269

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