人工智能肝癌臨床決策支持系統的開發、驗證和應用價值_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

 嚴律南 , 楊家印

四川大學華西醫院肝臟外科/肝臟移植中心（成都 610041）;

Corresponding?author：

嚴律南, Email: yanlunan688@163.com

Keywords：

DOI：

10.7507/1007-9424.202007092

Video：

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Citation： 嚴律南, 楊家印. 人工智能肝癌臨床決策支持系統的開發、驗證和應用價值. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2020, 27(9): 1052-1056. doi: 10.7507/1007-9424.202007092 Copy

1.	嚴律南. 人工智能在醫學領域應用的現狀與展望. 中國普外基礎與臨床雜志, 2018, 25(5): 513-514.
2.	趙永恒, 吳尚蔚. 人工智能在肝膽外科中的應用. 中國普外基礎與臨床雜志, 2018, 25(5): 519-522.
3.	Shen D, Wu G, Suk HI. Deep learning in medical image analysis. Annu Rev Biomed Eng, 2017, 19: 221-248.
4.	Litjens G, Kooi T, Bejnordi BE, <italic>et al</italic>. A survey on deep learning in medical image analysis. Med Image Anal, 2017, 42: 60-88.
5.	宋彬, 黃子星. 人工智能在影像學的發展、現狀及展望. 中國普外基礎與臨床雜志, 2018, 25(5): 523-527.
6.	Byrne MF, Chapados N, Soudan F, <italic>et al</italic>. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut, 2019, 68(1): 94-100.
7.	Mori Y, Kudo SE, Misawa M, <italic>et al</italic>. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study. Ann Intern Med, 2018, 169(6): 357-366.
8.	Vinsard DG, Mori Y, Misawa M, <italic>et al</italic>. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointest Endosc, 2019, 90(1): 55-63.
9.	Ahmad OF, Soares AS, Mazomenos E, <italic>et al</italic>. Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions. Lancet Gastroenterol Hepatol, 2019, 4(1): 71-80.
10.	He J, Baxter SL, Xu J, <italic>et al</italic>. The practical implementation of artificial intelligence technologies in medicine. Nat Med, 2019, 25(1): 30-36.
11.	Cabitza F, Rasoini R, Gensini GF. Unintended consequences of machine learning in medicine. JAMA, 2017, 318(6): 517-518.
12.	Gordon L, Grantcharov T, Rudzicz F. Explainable artificial intelligence for safe intraoperative decision support. JAMA Surg, 2019, 154(11): 1064-1065.

1. 嚴律南. 人工智能在醫學領域應用的現狀與展望. 中國普外基礎與臨床雜志, 2018, 25(5): 513-514.
2. 趙永恒, 吳尚蔚. 人工智能在肝膽外科中的應用. 中國普外基礎與臨床雜志, 2018, 25(5): 519-522.
3. Shen D, Wu G, Suk HI. Deep learning in medical image analysis. Annu Rev Biomed Eng, 2017, 19: 221-248.
4. Litjens G, Kooi T, Bejnordi BE, <italic>et al</italic>. A survey on deep learning in medical image analysis. Med Image Anal, 2017, 42: 60-88.
5. 宋彬, 黃子星. 人工智能在影像學的發展、現狀及展望. 中國普外基礎與臨床雜志, 2018, 25(5): 523-527.
6. Byrne MF, Chapados N, Soudan F, <italic>et al</italic>. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut, 2019, 68(1): 94-100.
7. Mori Y, Kudo SE, Misawa M, <italic>et al</italic>. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study. Ann Intern Med, 2018, 169(6): 357-366.
8. Vinsard DG, Mori Y, Misawa M, <italic>et al</italic>. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointest Endosc, 2019, 90(1): 55-63.
9. Ahmad OF, Soares AS, Mazomenos E, <italic>et al</italic>. Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions. Lancet Gastroenterol Hepatol, 2019, 4(1): 71-80.
10. He J, Baxter SL, Xu J, <italic>et al</italic>. The practical implementation of artificial intelligence technologies in medicine. Nat Med, 2019, 25(1): 30-36.
11. Cabitza F, Rasoini R, Gensini GF. Unintended consequences of machine learning in medicine. JAMA, 2017, 318(6): 517-518.
12. Gordon L, Grantcharov T, Rudzicz F. Explainable artificial intelligence for safe intraoperative decision support. JAMA Surg, 2019, 154(11): 1064-1065.

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CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

人工智能肝癌臨床決策支持系統的開發、驗證和應用價值

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