Detalhe da pesquisa
1.
Understanding metric-related pitfalls in image analysis validation.
Nat Methods;
21(2): 182-194, 2024 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38347140
2.
Metrics reloaded: recommendations for image analysis validation.
Nat Methods;
21(2): 195-212, 2024 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38347141
3.
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
4.
Defining digital surgery: a SAGES white paper.
Surg Endosc;
38(2): 475-487, 2024 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38180541
5.
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
6.
Understanding How Experts Do It: A Conceptual Framework for the Open Transversus Abdominis Release Procedure.
Ann Surg;
277(3): 498-505, 2023 03 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36538631
7.
Training for excellence: using a multimodal videoconferencing platform to coach surgeons and improve intraoperative performance.
Surg Endosc;
37(12): 9406-9413, 2023 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37670189
8.
Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy.
Surg Endosc;
37(12): 9467-9475, 2023 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37697115
9.
SAGES safe cholecystectomy modules improve practicing surgeons' judgment: results of a randomized, controlled trial.
Surg Endosc;
37(2): 862-870, 2023 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36006521
10.
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
11.
SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.
Surg Endosc;
37(6): 4321-4327, 2023 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36729231
12.
What is the educational value and clinical utility of artificial intelligence for intraoperative and postoperative video analysis? A survey of surgeons and trainees.
Surg Endosc;
37(12): 9453-9460, 2023 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37697116
13.
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).
Surg Endosc;
37(11): 8690-8707, 2023 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37516693
14.
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
15.
Development and evaluation of a virtual knowledge assessment tool for transanal total mesorectal excision.
Tech Coloproctol;
26(7): 551-560, 2022 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35503143
16.
Surgical data science and artificial intelligence for surgical education.
J Surg Oncol;
124(2): 221-230, 2021 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34245578
17.
Evaluating readmissions following laparoscopic cholecystectomy in the state of New York.
Surg Endosc;
35(8): 4667-4672, 2021 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32875412
18.
SAGES consensus recommendations on an annotation framework for surgical video.
Surg Endosc;
35(9): 4918-4929, 2021 09.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34231065
19.
Educational value of telementoring for a simulation-based fundamental use of surgical energy™ (FUSE) curriculum: a randomized controlled trial in surgical trainees.
Surg Endosc;
34(8): 3650-3655, 2020 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32367446
20.
An Unmodulated Very-Low-Voltage Electrosurgical Technology Creates Predictable and Ultimate Tissue Coagulation: From Experimental Data to Clinical Use.
Surg Innov;
27(5): 492-498, 2020 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32186463