'Artificial intelligence in Barrett's Esophagus'

被引:11
|
作者
Hamade, Nour [3 ]
Sharma, Prateek [1 ,2 ]
机构
[1] Vet Affairs Med Ctr, Div Gastroenterol & Hepatol, 4801 E Linwood Blvd, Kansas City, MO 64128 USA
[2] Univ Kansas, Sch Med, Div Gastroenterol & Hepatol, Kansas City, KS USA
[3] Indiana Univ, Dept Gastroenterol & Hepatol, Sch Med, Indianapolis, IN 46204 USA
关键词
endoscopy; esophagus; imaging; pre-cancerous; technology; NEOPLASIA; ENDOSCOPY; DIAGNOSIS; ACCURACY;
D O I
10.1177/26317745211049964
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Despite advances in endoscopic imaging modalities, there are still significant miss rates of dysplasia and cancer in Barrett's esophagus. Artificial intelligence (AI) is a promising tool that may potentially be a useful adjunct to the endoscopist in detecting subtle dysplasia and cancer. Studies have shown AI systems have a sensitivity of more than 90% and specificity of more than 80% in detecting Barrett's related dysplasia and cancer. Beyond visual detection and diagnosis, AI may also prove to be useful in quality control, streamlining clinical work, documentation, and lessening the administrative load on physicians. Research in this area is advancing at a rapid rate, and as the field expands, regulations and guidelines will need to be put into place to better regulate the growth and use of AI. This review provides an overview of the present and future role of AI in Barrett's esophagus.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Artificial Intelligence in Surveillance of Barrett's Esophagus
    Madabhushi, Anant
    Toro, Paula
    Willis, Joseph E.
    [J]. CANCER RESEARCH, 2021, 81 (13) : 3446 - 3448
  • [2] Artificial intelligence system for the detection of Barrett's esophagus
    Tsai, Ming-Chang
    Yen, Hsu-Heng
    Tsai, Hui-Yu
    Huang, Yu-Kai
    Luo, Yu-Sin
    Kornelius, Edy
    Sung, Wen-Wei
    Lin, Chun-Che
    Tseng, Ming-Hseng
    Wang, Chi-Chih
    [J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2023, 29 (48) : 6198 - 6207
  • [3] Artificial Intelligence in the Detection of Barrett's Esophagus: A Systematic Review
    Patel, Akash
    Arora, Gagandeep Singh
    Roknsharifi, Mona
    Kaur, Parneet
    Laved, Hamna
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (10)
  • [4] Artificial Intelligence in the Management of Barrett's Esophagus and Early Esophageal Adenocarcinoma
    Dumoulin, Franz Ludwig
    Rodriguez-Monaco, Fabian Dario
    Ebigbo, Alanna
    Steinbruck, Ingo
    [J]. CANCERS, 2022, 14 (08)
  • [5] ARTIFICIAL INTELLIGENCE DYSPLASIA DETECTION (AIDD) ALGORITHM FOR BARRETT'S ESOPHAGUS
    Hashimoto, Rintaro
    Lugo, Michael
    Mai, Daniel
    Chehade, Nabil E.
    Tran, Elise
    Dao, Tyler
    Lee, John
    Chang, Kenneth J.
    Ninh, Andrew
    Requa, James
    Karnes, William E.
    Samarasena, Jason B.
    [J]. GASTROINTESTINAL ENDOSCOPY, 2019, 89 (06) : AB99 - AB100
  • [6] Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus
    Jong, M. R.
    de Groof, A. J.
    [J]. DIGESTIVE AND LIVER DISEASE, 2024, 56 (07) : 1126 - 1130
  • [7] Barrett esophagus: What to expect from Artificial Intelligence?
    Ebigbo, Alanna
    Palm, Christoph
    Messmann, Helmut
    [J]. BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY, 2021, 52-53
  • [8] Artificial intelligence for dysplasia grading in Barrett's esophagus: hematoxylin and eosin is here to stay
    McDonald, Oliver G.
    Montgomery, Elizabeth A.
    [J]. GASTROINTESTINAL ENDOSCOPY, 2022, 96 (06) : 926 - 928
  • [10] Development of an Artificial Intelligence Diagnostic System Using Linked Color Imaging for Barrett's Esophagus
    Takeda, Tsutomu
    Asaoka, Daisuke
    Ueyama, Hiroya
    Abe, Daiki
    Suzuki, Maiko
    Inami, Yoshihiro
    Uemura, Yasuko
    Yamamoto, Momoko
    Iwano, Tomoyo
    Uchida, Ryota
    Utsunomiya, Hisanori
    Oki, Shotaro
    Suzuki, Nobuyuki
    Ikeda, Atsushi
    Akazawa, Yoichi
    Matsumoto, Kohei
    Ueda, Kumiko
    Hojo, Mariko
    Nojiri, Shuko
    Tada, Tomohiro
    Nagahara, Akihito
    [J]. JOURNAL OF CLINICAL MEDICINE, 2024, 13 (07)