人工智能肝癌临床决策支持系统的开发、验证和应用价值_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

 严律南 , 杨家印

四川大学华西医院肝脏外科/肝脏移植中心（成都 610041）;

Corresponding author：

严律南, Email: yanlunan688@163.com

Keywords：

DOI：

10.7507/1007-9424.202007092

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Citation： 严律南, 杨家印. 人工智能肝癌临床决策支持系统的开发、验证和应用价值. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2020, 27(9): 1052-1056. doi: 10.7507/1007-9424.202007092 Copy

1.	严律南. 人工智能在医学领域应用的现状与展望. 中国普外基础与临床杂志, 2018, 25(5): 513-514.
2.	赵永恒, 吴尚蔚. 人工智能在肝胆外科中的应用. 中国普外基础与临床杂志, 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, 黄子星. 人工智能在影像学的发展、现状及展望. 中国普外基础与临床杂志, 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. 严律南. 人工智能在医学领域应用的现状与展望. 中国普外基础与临床杂志, 2018, 25(5): 513-514.
2. 赵永恒, 吴尚蔚. 人工智能在肝胆外科中的应用. 中国普外基础与临床杂志, 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, 黄子星. 人工智能在影像学的发展、现状及展望. 中国普外基础与临床杂志, 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.

Previous Article
拥抱互联网医疗和人工智能融合的高光时刻
Next Article
Changes of perioperative thyroid hormone in adult patients undergoing cardiac surgery under cardiopulmonary bypass

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

人工智能肝癌临床决策支持系统的开发、验证和应用价值

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content