Literature DB >> 32989966

Artificial intelligence in cardiothoracic surgery.

Roger D Dias1,2, Julie A Shah3, Marco A Zenati4,5.   

Abstract

The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values and cost, and assist surgeons and patients to make better predictions regarding the consequences of surgical decisions. In this review, we discuss the current initiatives that are using AI in cardiothoracic surgery and surgical care in general. We also address the future of AI and how high-tech ORs will leverage human-machine teaming to optimize performance and enhance patient safety.

Entities:  

Year:  2020        PMID: 32989966      PMCID: PMC7959017          DOI: 10.23736/S0026-4725.20.05235-4

Source DB:  PubMed          Journal:  Minerva Cardioangiol        ISSN: 0026-4725            Impact factor:   1.347


  36 in total

1.  Validation of medical image processing in image-guided therapy.

Authors:  Pierre Jannin; J Michael Fitzpatrick; David J Hawkes; Xavier Pennec; Ramin Shahidi; Michael W Vannier
Journal:  IEEE Trans Med Imaging       Date:  2002-12       Impact factor: 10.048

2.  Classification of surgical processes using dynamic time warping.

Authors:  Germain Forestier; Florent Lalys; Laurent Riffaud; Brivael Trelhu; Pierre Jannin
Journal:  J Biomed Inform       Date:  2011-11-20       Impact factor: 6.317

3.  Intelligent Interruption Management System to Enhance Safety and Performance in Complex Surgical and Robotic Procedures.

Authors:  Roger D Dias; Heather M Conboy; Jennifer M Gabany; Lori A Clarke; Leon J Osterweil; David Arney; Julian M Goldman; Giuseppe Riccardi; George S Avrunin; Steven J Yule; Marco A Zenati
Journal:  OR 2.0 Context Aware Oper Theaters Comput Assist Robot Endosc Clin Image Based Proced Skin Image Anal (2018)       Date:  2018-10-02

4.  Synchronized video and motion analysis for the assessment of procedures in the operating theater.

Authors:  Aristotelis Dosis; Rajesh Aggarwal; Fernando Bello; Krishna Moorthy; Yaron Munz; Duncan Gillies; Ara Darzi
Journal:  Arch Surg       Date:  2005-03

5.  Establishing a Ventilator-Heart Lung Machine Communication Bridge to Mitigate Errors when Weaning from Bypass.

Authors:  Geoffrey Rance; David Arney; Rithy Srey; Julian M Goldman; Marco A Zenati
Journal:  J Extra Corpor Technol       Date:  2019-03

Review 6.  Artificial Intelligence and Machine Learning in Cardiovascular Health Care.

Authors:  Arman Kilic
Journal:  Ann Thorac Surg       Date:  2019-11-07       Impact factor: 4.330

7.  Use of Artificial Intelligence to Represent Emergent Systems and Augment Surgical Decision-making.

Authors:  Tyler J Loftus; Gilbert R Upchurch; Azra Bihorac
Journal:  JAMA Surg       Date:  2019-09-01       Impact factor: 14.766

8.  A Novel Interoperable Safety System for Improved Coordination and Communication in Cardiac Surgery.

Authors:  David Arney; Geoffrey Rance; Srey Rithy; Julian M Goldman; Marco A Zenati
Journal:  OR 2.0 Context Aware Oper Theaters Comput Assist Robot Endosc Clin Image Based Proced Skin Image Anal (2018)       Date:  2018-10-02

9.  Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.

Authors:  Marije Wijnberge; Bart F Geerts; Liselotte Hol; Nikki Lemmers; Marijn P Mulder; Patrick Berge; Jimmy Schenk; Lotte E Terwindt; Markus W Hollmann; Alexander P Vlaar; Denise P Veelo
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

10.  Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating.

Authors:  David P Azari; Lane L Frasier; Sudha R Pavuluri Quamme; Caprice C Greenberg; Carla M Pugh; Jacob A Greenberg; Robert G Radwin
Journal:  Ann Surg       Date:  2019-03       Impact factor: 12.969

View more
  6 in total

1.  Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.

Authors:  R D Dias; M A Zenati; G Rance; Rithy Srey; D Arney; L Chen; R Paleja; L R Kennedy-Metz; M Gombolay
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2021-12-03

2.  Assessing Team Situational Awareness in the Operating Room via Computer Vision.

Authors:  Roger D Dias; Lauren R Kennedy-Metz; Steven J Yule; Matthew Gombolay; Marco A Zenati
Journal:  IEEE Conf Cogn Comput Asp Situat Manag       Date:  2022-07-22

3.  Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review.

Authors:  Stephanie Taha-Mehlitz; Silvio Däster; Laura Bach; Vincent Ochs; Markus von Flüe; Daniel Steinemann; Anas Taha
Journal:  J Clin Med       Date:  2022-04-26       Impact factor: 4.964

4.  Artificial intelligence, machine learning, and deep learning for clinical outcome prediction.

Authors:  Rowland W Pettit; Robert Fullem; Chao Cheng; Christopher I Amos
Journal:  Emerg Top Life Sci       Date:  2021-12-20

Review 5.  The future of Cardiothoracic surgery in Artificial intelligence.

Authors:  Hassan Mumtaz; Muhammad Saqib; Farrukh Ansar; Durafshan Zargar; Madiha Hameed; Mohammad Hasan; Pakiza Muskan
Journal:  Ann Med Surg (Lond)       Date:  2022-07-31

6.  Reproducibility and Repeatability of Coronary Computed Tomography Angiography (CCTA) Image Segmentation in Detecting Atherosclerosis: A Radiomics Study.

Authors:  Mardhiyati Mohd Yunus; Akmal Sabarudin; Muhammad Khalis Abdul Karim; Puteri N E Nohuddin; Isa Azzaki Zainal; Mohd Shahril Mohd Shamsul; Ahmad Khairuddin Mohamed Yusof
Journal:  Diagnostics (Basel)       Date:  2022-08-19
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.