Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors.

Journal: Digestive diseases and sciences

PMID: 33547537

Abstract

BACKGROUND AND AIMS: This study aimed to investigate whether AI via a deep learning algorithm using endoscopic ultrasonography (EUS) images could predict the malignant potential of gastric gastrointestinal stromal tumors (GISTs).

Authors

Gulseren Seven

Division of Gastroenterology, Bezmialem University School of Medicine, Fatih, Istanbul, 34025, Turkey.
Gokhan Silahtaroglu

Department of Management Information Systems, Istanbul Medipol University, Beykoz, Istanbul, Turkey.
Koray Kochan

Division of Gastroenterology, Bezmialem University School of Medicine, Fatih, Istanbul, 34025, Turkey.
Ali Tuzun Ince

Division of Gastroenterology, Bezmialem University School of Medicine, Fatih, Istanbul, 34025, Turkey.
Dilek Sema Arici

Division of Pathology, Bezmialem University School of Medicine, Istanbul, Turkey.
Hakan Senturk

Division of Gastroenterology, Bezmialem University School of Medicine, Fatih, Istanbul, 34025, Turkey. drhakansenturk@yahoo.com.

Keywords

Algorithms Artificial Intelligence Deep Learning Endosonography Female Gastrointestinal Stromal Tumors Humans Male Middle Aged Mitotic Index Prognosis Reproducibility of Results Risk Assessment Sensitivity and Specificity Stomach Neoplasms

External Resources

View on PubMed Access via DOI PubMed (33547537)

Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors.

Abstract

Authors

Keywords

External Resources

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