Detalhe da pesquisa
1.
Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning.
Surg Endosc
; 38(1): 158-170, 2024 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37945709
2.
Structured feedback and operative video debriefing with critical view of safety annotation in training of laparoscopic cholecystectomy: a randomized controlled study.
Surg Endosc
; 2024 Apr 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-38653899
3.
The development of a deep learning model for automated segmentation of the robotic pancreaticojejunostomy.
Surg Endosc
; 38(5): 2553-2561, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38488870
4.
Development of an Artificial Intelligence Tool for Intraoperative Guidance During Endovascular Abdominal Aortic Aneurysm Repair.
Ann Vasc Surg
; 99: 96-104, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-37914075
5.
Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching.
Surg Endosc
; 37(1): 402-411, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35982284
6.
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy.
Surg Endosc
; 37(3): 2260-2268, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35918549
7.
Artificial Intelligence for Intraoperative Guidance: Using Semantic Segmentation to Identify Surgical Anatomy During Laparoscopic Cholecystectomy.
Ann Surg
; 276(2): 363-369, 2022 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33196488
8.
A contextual detector of surgical tools in laparoscopic videos using deep learning.
Surg Endosc
; 36(1): 679-688, 2022 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33559057
9.
Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.
West J Emerg Med
; 22(2): 244-251, 2021 Mar 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33856307