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For: Shreve JT, Khanani SA, Haddad TC. Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations. Am Soc Clin Oncol Educ Book 2022;42:1-10. [PMID: 35687826 DOI: 10.1200/EDBK_350652] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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1 Mansur A, Saleem Z, Elhakim T, Daye D. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions. Front Oncol 2023;13. [DOI: 10.3389/fonc.2023.1065402] [Reference Citation Analysis]
2 Patton A. Advancing Cancer Prevention, Detection, Diagnosis, Treatment, and Precision Medicine. Oncology Issues 2023;38:27-32. [DOI: 10.3928/25731777-20230117-08] [Reference Citation Analysis]
3 Sebastian AM, Peter D. Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions. Life (Basel) 2022;12. [PMID: 36556356 DOI: 10.3390/life12121991] [Reference Citation Analysis]
4 Martin C, Destefano K, Haran H, Zink S, Dai J, Ahmed D, Razzak A, Lin K, Kogler A, Waller J, Kazmi K, Umair M. The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications. Intelligence-Based Medicine 2022;6:100073. [DOI: 10.1016/j.ibmed.2022.100073] [Reference Citation Analysis]