Applications of machine learning in surgery: ethical considerations

Rashidian, Nikdokht; Hilal, Mohammed Abu

doi:10.20517/ais.2021.13

Cited by 4 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the remarkable technological developments in recent decades, the implementation of digital applications and artificial intelligence in the field of surgery is still limited as surgery consists of procedural multimodal data in a dynamic environment. 43 , 44 Nevertheless, considering the increasing amount of surgical definitions and models, software applications and artificial intelligence are more than ever needed to ease and widen the application of TOLS. The development of an online calculator to score the 7 surgical outcome variables by the surgeon and determine whether a patient achieves TOLS or not might be a valuable first step in this process ( https://www.evidencio.com/models/show/2794 ).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

An International Expert Delphi Consensus on Defining Textbook Outcome in Liver Surgery (TOLS)

et al. 2022

View full text Add to dashboard Cite

Objective: To reach global expert consensus on the definition of TOLS in minimally invasive and open liver resection among renowned international expert liver surgeons using a modified Delphi method. Background: Textbook outcome is a novel composite measure combining the most desirable postoperative outcomes into one single measure and representing the ideal postoperative course. Despite a recently developed international definition of Textbook Outcome in Liver Surgery (TOLS), a standardized and expert consensus-based definition is lacking. Methods: This international, consensus-based, qualitative study used a Delphi process to achieve consensus on the definition of TOLS. The survey comprised 6 surgical domains with a total of 26 questions on individual surgical outcome variables. The process included 4 rounds of online questionnaires. Consensus was achieved when a threshold of at least 80% agreement was reached. The results from the Delphi rounds were used to establish an international definition of TOLS. Results: In total, 44 expert liver surgeons from 22 countries and all 3 major international hepato-pancreato-biliary associations completed round 1. Forty-two (96%), 41 (98%), and 41 (98%) of the experts participated in round 2, 3, and 4, respectively. The TOLS definition derived from the consensus process included the absence of intraoperative grade ≥2 incidents, postoperative bile leakage grade B/C, postoperative liver failure grade B/C, 90-day major postoperative complications, 90-day readmission due to surgery-related major complications, 90-day/in-hospital mortality, and the presence of R0 resection margin. Conclusions: This is the first study providing an international expert consensus-based definition of TOLS for minimally invasive and open liver resections by the use of a formal Delphi consensus approach. TOLS may be useful in assessing patient-level hospital performance and carrying out international comparisons between centers with different clinical practices to further improve patient outcomes.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

An International Expert Delphi Consensus on Defining Textbook Outcome in Liver Surgery (TOLS)

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Moreover, flawed, insufficiently taught, or poorly comprehended algorithms may introduce technical errors. 68 , 69 Any malfunction in the AI model could lead to adverse outcomes for the patient, including surgical complications or injuries. 69 This may have a long-lasting, large-scale impact on patients' quality of life.…”

Section: Challenges and Potential Risks Of Ai Application In Neurosur...mentioning

confidence: 99%

“… 68 , 69 Any malfunction in the AI model could lead to adverse outcomes for the patient, including surgical complications or injuries. 69 This may have a long-lasting, large-scale impact on patients' quality of life. 68 …”

Section: Challenges and Potential Risks Of Ai Application In Neurosur...mentioning

confidence: 99%

Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery

Awuah,

Adebusoye,

Wellington

et al. 2024

World Neurosurgery: X

View full text Add to dashboard Cite

Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education

Valdiviezo-Diaz,

Chicaiza

2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Applications of machine learning in surgery: ethical considerations

Cited by 4 publications

References 15 publications

An International Expert Delphi Consensus on Defining Textbook Outcome in Liver Surgery (TOLS)

An International Expert Delphi Consensus on Defining Textbook Outcome in Liver Surgery (TOLS)

Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery

Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education

Contact Info

Product

Resources

About