Cargando…
Human–machine cooperation meta-model for clinical diagnosis by adaptation to human expert’s diagnostic characteristics
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role. Based on this responsibility constraint, the effective use of AI to assist huma...
Autores principales: | Park, Hae-Jeong, Kim, Sung Huhn, Choi, Jae Young, Cha, Dongchul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533492/ https://www.ncbi.nlm.nih.gov/pubmed/37758800 http://dx.doi.org/10.1038/s41598-023-43291-8 |
Ejemplares similares
-
Differential Biases and Variabilities of Deep Learning–Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study
por: Cha, Dongchul, et al.
Publicado: (2021) -
Machine learning approach for prediction of hearing preservation in vestibular schwannoma surgery
por: Cha, Dongchul, et al.
Publicado: (2020) -
Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database
por: Cha, Dongchul, et al.
Publicado: (2019) -
Cooperation between the Two Diagnostic Expert Systems BEDES and CODES
por: Varga, L
Publicado: (1991) -
The Diagnostic Value of Skin Disease Diagnosis Expert System
por: Jeddi, Fatemeh Rangraz, et al.
Publicado: (2016)