Detalhe da pesquisa
1.
Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review.
Surg Endosc
; 37(10): 7412-7424, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37584774
2.
Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology.
Surg Endosc
; 37(3): 2070-2077, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36289088
3.
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
4.
Artificial Intelligence for Surgical Safety: Automatic Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy Using Deep Learning.
Ann Surg
; 275(5): 955-961, 2022 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33201104
5.
Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy.
Surg Endosc
; 36(11): 8379-8386, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35171336
6.
A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos: Documenting Safety in Laparoscopic Cholecystectomy.
Ann Surg
; 274(1): e93-e95, 2021 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33417329
7.
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
8.
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
9.
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions.
Proc IEEE Inst Electr Electron Eng
; 108(1): 198-214, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31920208
10.
Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety.
Surg Endosc
; 34(6): 2709-2714, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31583466
11.
Early-stage clinical evaluation of real-time artificial intelligence assistance for laparoscopic cholecystectomy.
Br J Surg
; 111(1)2024 Jan 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-37935636
12.
Machine and deep learning for workflow recognition during surgery.
Minim Invasive Ther Allied Technol
; 28(2): 82-90, 2019 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-30849261
13.
Evaluation of occupational exposure to static magnetic field in MRI sites based on body pose estimation and SMF analytical computation.
Bioelectromagnetics
; 39(7): 503-515, 2018 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-30307039
14.
Response to Comments on: A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos: Documenting Safety in Laparoscopic Cholecystectomy.
Ann Surg
; 276(5): e637-e638, 2022 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35129513
15.
On-the-fly point annotation for fast medical video labeling.
Int J Comput Assist Radiol Surg
; 2024 Apr 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38573565
16.
Optimizing latent graph representations of surgical scenes for unseen domain generalization.
Int J Comput Assist Radiol Surg
; 2024 Apr 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-38678488
17.
Latent Graph Representations for Critical View of Safety Assessment.
IEEE Trans Med Imaging
; 43(3): 1247-1258, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-37971921
18.
Advancing surgical VQA with scene graph knowledge.
Int J Comput Assist Radiol Surg
; 2024 May 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-38780829
19.
Applications of artificial intelligence in surgery: clinical, technical, and governance considerations.
Cir Esp (Engl Ed)
; 2024 May 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38704146
20.
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery.
Int J Comput Assist Radiol Surg
; 2024 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-38761319