202 related articles for article (PubMed ID: 35581213)
1. Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.
Pangal DJ; Kugener G; Zhu Y; Sinha A; Unadkat V; Cote DJ; Strickland B; Rutkowski M; Hung A; Anandkumar A; Han XY; Papyan V; Wrobel B; Zada G; Donoho DA
Sci Rep; 2022 May; 12(1):8137. PubMed ID: 35581213
[TBL] [Abstract][Full Text] [Related]
2. Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications.
Kugener G; Pangal DJ; Cardinal T; Collet C; Lechtholz-Zey E; Lasky S; Sundaram S; Markarian N; Zhu Y; Roshannai A; Sinha A; Han XY; Papyan V; Hung A; Anandkumar A; Wrobel B; Zada G; Donoho DA
JAMA Netw Open; 2022 Mar; 5(3):e223177. PubMed ID: 35311962
[TBL] [Abstract][Full Text] [Related]
3. Use of surgical video-based automated performance metrics to predict blood loss and success of simulated vascular injury control in neurosurgery: a pilot study.
Pangal DJ; Kugener G; Cardinal T; Lechtholz-Zey E; Collet C; Lasky S; Sundaram S; Zhu Y; Roshannai A; Chan J; Sinha A; Hung AJ; Anandkumar A; Zada G; Donoho DA
J Neurosurg; 2022 Sep; 137(3):840-849. PubMed ID: 34972086
[TBL] [Abstract][Full Text] [Related]
4. Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video.
Kugener G; Zhu Y; Pangal DJ; Sinha A; Markarian N; Roshannai A; Chan J; Anandkumar A; Hung AJ; Wrobel BB; Zada G; Donoho DA
Neurosurgery; 2022 Jun; 90(6):823-829. PubMed ID: 35319539
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance.
Khalid S; Goldenberg M; Grantcharov T; Taati B; Rudzicz F
JAMA Netw Open; 2020 Mar; 3(3):e201664. PubMed ID: 32227178
[TBL] [Abstract][Full Text] [Related]
6. Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.
Balu A; Pangal DJ; Kugener G; Donoho DA
Oper Neurosurg (Hagerstown); 2023 Dec; 25(6):e330-e337. PubMed ID: 37655892
[TBL] [Abstract][Full Text] [Related]
7. Video-based assessment of intraoperative surgical skill.
Hira S; Singh D; Kim TS; Gupta S; Hager G; Sikder S; Vedula SS
Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1801-1811. PubMed ID: 35635639
[TBL] [Abstract][Full Text] [Related]
8. Does Robotic Surgical Simulator Performance Correlate With Surgical Skill?
Mills JT; Hougen HY; Bitner D; Krupski TL; Schenkman NS
J Surg Educ; 2017; 74(6):1052-1056. PubMed ID: 28623113
[TBL] [Abstract][Full Text] [Related]
9. Automated Vision-Based Microsurgical Skill Analysis in Neurosurgery Using Deep Learning: Development and Preclinical Validation.
Davids J; Makariou SG; Ashrafian H; Darzi A; Marcus HJ; Giannarou S
World Neurosurg; 2021 May; 149():e669-e686. PubMed ID: 33588081
[TBL] [Abstract][Full Text] [Related]
10. Assessment of competence in video-assisted thoracoscopic surgery lobectomy: A Danish nationwide study.
Petersen RH; Gjeraa K; Jensen K; Møller LB; Hansen HJ; Konge L
J Thorac Cardiovasc Surg; 2018 Oct; 156(4):1717-1722. PubMed ID: 29773444
[TBL] [Abstract][Full Text] [Related]
11. Crowdsourced Assessment of Surgical Skill Proficiency in Cataract Surgery.
Paley GL; Grove R; Sekhar TC; Pruett J; Stock MV; Pira TN; Shields SM; Waxman EL; Wilson BS; Gordon MO; Culican SM
J Surg Educ; 2021; 78(4):1077-1088. PubMed ID: 33640326
[TBL] [Abstract][Full Text] [Related]
12. How expert surgeons review robotic videos: A grounded theory study.
Soliman MM; Soliman MK
Am J Surg; 2023 Nov; 226(5):709-716. PubMed ID: 37558519
[TBL] [Abstract][Full Text] [Related]
13. Deep neural networks are effective tools for assessing performance during surgical training.
Smith R; Julian D; Dubin A
J Robot Surg; 2022 Jun; 16(3):559-562. PubMed ID: 34268699
[TBL] [Abstract][Full Text] [Related]
14. Video-based surgical skill assessment using 3D convolutional neural networks.
Funke I; Mees ST; Weitz J; Speidel S
Int J Comput Assist Radiol Surg; 2019 Jul; 14(7):1217-1225. PubMed ID: 31104257
[TBL] [Abstract][Full Text] [Related]
15. The American Society of Colon and Rectal Surgeons Assessment Tool for Performance of Laparoscopic Colectomy.
Champagne BJ; Steele SR; Hendren SK; Bakaki PM; Roberts PL; Delaney CP; Brady JT; MacRae HM
Dis Colon Rectum; 2017 Jul; 60(7):738-744. PubMed ID: 28594724
[TBL] [Abstract][Full Text] [Related]
16. Using Intraoperative Recordings to Evaluate Surgical Technique and Performance in Mastoidectomy.
Lee JA; Close MF; Liu YF; Rowley MA; Isaac MJ; Costello MS; Nguyen SA; Meyer TA
JAMA Otolaryngol Head Neck Surg; 2020 Oct; 146(10):893-899. PubMed ID: 32780790
[TBL] [Abstract][Full Text] [Related]
17. Temporal variability of surgical technical skill perception in real robotic surgery.
Kelly JD; Nash M; Heller N; Lendvay TS; Kowalewski TM
Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):2101-2107. PubMed ID: 32860549
[TBL] [Abstract][Full Text] [Related]
18. Measuring to Improve: Peer and Crowd-sourced Assessments of Technical Skill with Robot-assisted Radical Prostatectomy.
Ghani KR; Miller DC; Linsell S; Brachulis A; Lane B; Sarle R; Dalela D; Menon M; Comstock B; Lendvay TS; Montie J; Peabody JO;
Eur Urol; 2016 Apr; 69(4):547-550. PubMed ID: 26755338
[TBL] [Abstract][Full Text] [Related]
19. The effect of video playback speed on surgeon technical skill perception.
Kelly JD; Petersen A; Lendvay TS; Kowalewski TM
Int J Comput Assist Radiol Surg; 2020 May; 15(5):739-747. PubMed ID: 32297088
[TBL] [Abstract][Full Text] [Related]
20. Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study.
Tang M; Sugiyama T; Takahari R; Sugimori H; Yoshimura T; Ogasawara K; Kudo K; Fujimura M
Neurosurg Rev; 2024 May; 47(1):200. PubMed ID: 38722409
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
