Artificial intelligence in gastrointestinal endoscopy: The future is almost here

被引:97
作者
Alagappan, Muthuraman [1 ]
Brown, Jeremy R. Glissen [1 ]
Mori, Yuichi [2 ]
Berzin, Tyler M. [1 ]
机构
[1] Harvard Med, Beth Israel Deaconess Med Ctr, Ctr Adv Endoscopy, Boston, MA 02215 USA
[2] Showa Univ, Northern Yokohama Hosp, Digest Dis Ctr, Yokohama, Kanagawa, Japan
关键词
Artificial intelligence; Machine learning; Gastrointestinal endoscopy; Computer-assisted decision making; Computer-aided detection; Colonic polyps; Colonoscopy; Computer-aided diagnosis; Colorectal adenocarcinoma;
D O I
10.4253/wjge.v10.i10.239
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstructured medical data and perform clinical tasks, such as the identification of diabetic retinopathy or the diagnosis of cutaneous malignancies. Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning, are beginning to emerge in gastrointestinal endoscopy. The most promising of these efforts have been in computer-aided detection and computer-aided diagnosis of colorectal polyps, with recent systems demonstrating high sensitivity and accuracy even when compared to expert human endoscopists. AI has also been utilized to identify gastrointestinal bleeding, to detect areas of inflammation, and even to diagnose certain gastrointestinal infections. Future work in the field should concentrate on creating seamless integration of AI systems with current endoscopy platforms and electronic medical records, developing training modules to teach clinicians how to use AI tools, and determining the best means for regulation and approval of new AI technology.
引用
收藏
页码:239 / 249
页数:11
相关论文
共 74 条
[1]   The Miss Rate for Colorectal Adenoma Determined by Quality-Adjusted, Back-to-Back Colonoscopies [J].
Ahn, Sang Bong ;
Han, Dong Soo ;
Bae, Joong Ho ;
Byun, Tae Jun ;
Kim, Jong Pyo ;
Eun, Chang Soo .
GUT AND LIVER, 2012, 6 (01) :64-70
[2]  
[Anonymous], 1998, COMPUTATIONAL INTELL
[3]   Nurse Observation During Colonoscopy Increases Polyp Detection: A Randomized Prospective Study [J].
Aslanian, Harry R. ;
Shieh, Frederick K. ;
Chan, Francis W. ;
Ciarleglio, Maria M. ;
Deng, Yanhong ;
Rogart, Jason N. ;
Jamidar, Priya A. ;
Siddiqui, Uzma D. .
AMERICAN JOURNAL OF GASTROENTEROLOGY, 2013, 108 (02) :166-172
[4]   ENDOSCOPIC FEATURES OF HELICOBACTER PYLORI-RELATED GASTRITIS [J].
BAH, A ;
SARAGA, E ;
ARMSTRONG, D ;
VOUILLAMOZ, D ;
DORTA, G ;
DUROUX, P ;
WEBER, B ;
FROEHLICH, F ;
BLUM, AL ;
SCHNEGG, JF .
ENDOSCOPY, 1995, 27 (08) :593-596
[5]   Representation Learning: A Review and New Perspectives [J].
Bengio, Yoshua ;
Courville, Aaron ;
Vincent, Pascal .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2013, 35 (08) :1798-1828
[6]   Trainee participation is associated with increased small adenoma detection [J].
Buchner, Anna M. ;
Shahid, Muhammad W. ;
Heckman, Michael G. ;
Diehl, Nancy N. ;
McNeil, Rebecca B. ;
Cleveland, Patrick ;
Gill, Kanwar R. ;
Schore, Anthony ;
Ghabril, Marwan ;
Raimondo, Massimo ;
Gross, Seth A. ;
Wallace, Michael B. .
GASTROINTESTINAL ENDOSCOPY, 2011, 73 (06) :1223-1231
[7]   Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model [J].
Byrne, Michael F. ;
Chapados, Nicolas ;
Soudan, Florian ;
Oertel, Clemens ;
Linares Perez, Milagros ;
Kelly, Raymond ;
Iqbal, Nadeem ;
Chandelier, Florent ;
Rex, Douglas K. .
GUT, 2019, 68 (01) :94-100
[8]   Will Computer-Aided Detection and Diagnosis Revolutionize Colonoscopy? [J].
Byrne, Michael F. ;
Shahidi, Neal ;
Rex, Douglas K. .
GASTROENTEROLOGY, 2017, 153 (06) :1460-+
[9]   Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets [J].
Chen, Jonathan H. ;
Alagappan, Muthuraman ;
Goldstein, Mary K. ;
Asch, Steven M. ;
Altman, Russ B. .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2017, 102 :71-79
[10]   Assessment of adenoma detection rate benchmarks in women versus men [J].
Coe, Susan G. ;
Wallace, Michael B. .
GASTROINTESTINAL ENDOSCOPY, 2013, 77 (04) :631-635