Thorny but Rosy: Prosperities and Difficulties in 'AI Plus Medicine' Concerning Data Collection, Model Construction and Clinical Deployment
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References
1.
Yan A, McAuley J, Lu X, Du J, Chang E, Gentili A
. RadBERT: Adapting Transformer-based Language Models to Radiology. Radiol Artif Intell. 2022; 4(4):e210258.
PMC: 9344353.
DOI: 10.1148/ryai.210258.
View
2.
Cao K, Xia Y, Yao J, Han X, Lambert L, Zhang T
. Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Nat Med. 2023; 29(12):3033-3043.
PMC: 10719100.
DOI: 10.1038/s41591-023-02640-w.
View
3.
Malgaroli M, Hull T, Zech J, Althoff T
. Natural language processing for mental health interventions: a systematic review and research framework. Transl Psychiatry. 2023; 13(1):309.
PMC: 10556019.
DOI: 10.1038/s41398-023-02592-2.
View
4.
Skrede O, de Raedt S, Kleppe A, Hveem T, Liestol K, Maddison J
. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study. Lancet. 2020; 395(10221):350-360.
DOI: 10.1016/S0140-6736(19)32998-8.
View
5.
Rieke N, Hancox J, Li W, Milletari F, Roth H, Albarqouni S
. The future of digital health with federated learning. NPJ Digit Med. 2020; 3:119.
PMC: 7490367.
DOI: 10.1038/s41746-020-00323-1.
View