Detalhe da pesquisa
1.
Development and validation of an artificial intelligence-based system for predicting colorectal cancer invasion depth using multi-modal data.
Dig Endosc
; 35(5): 625-635, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-36478234
2.
Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos).
Gastrointest Endosc
; 95(2): 269-280.e6, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34547254
3.
Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video).
Gastrointest Endosc
; 95(6): 1186-1194.e3, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-34919941
4.
Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial.
Endoscopy
; 53(12): 1199-1207, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33429441
5.
A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.
Gastric Cancer
; 23(5): 884-892, 2020 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32356118
6.
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study.
Lancet Digit Health
; 3(11): e697-e706, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34538736
7.
Interference of P-REX2a may inhibit proliferation and reverse the resistance of SGC7901 cells to doxorubicin.
Oncol Lett
; 15(3): 3185-3191, 2018 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-29435055
8.
Diagnostic accuracy of the 14C-urea breath test in Helicobacter pylori infections: a meta-analysis.
Wien Klin Wochenschr
; 129(1-2): 38-45, 2017 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-27848071