The Challenges of Implementing Artificial Intelligence into Surgical Practice.

Abstract:

BACKGROUND:Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and implementing a machine-learning model for the prediction of CBD stones in patients presenting with acute biliary disease (ABD). METHODS:All patients presenting acutely to Christchurch Hospital over a two-year period with ABD were retrospectively identified. Clinical data points including lab test results, demographics and ethnicity were recorded. Several statistical techniques were utilised to develop a machine-learning model. Issues with data collection, quality, interpretation and barriers to implementation were identified and highlighted. RESULTS:Issues with patient identification, coding accuracy, and implementation were encountered. In total, 1315 patients met inclusion criteria. Incorrect international classification of disease 10 (ICD-10) coding was noted in 36% (137/382) of patients recorded as having CBD stones. Patients with CBD stones were significantly older and had higher aspartate aminotransferase (AST), alanine aminotransferase (ALT), bilirubin and gamma-glutamyl transferase (GGT) levels (p < 0.001). The no information rate was 81% (1070/1315 patients). The optimum model developed was the gradient boosted model with a PPV of 67%, NPV of 87%, sensitivity of 37% and a specificity of 96% for common bile duct stones. CONCLUSION:This paper highlights the utility of machine learning in predicting CBD stones. Accuracy is limited by current data and issues do exist around both the ethics and practicality of implementation. Regardless, machine learning represents a promising new paradigm for surgical practice.

journal_name

World J Surg

journal_title

World journal of surgery

authors

Tranter-Entwistle I,Wang H,Daly K,Maxwell S,Connor S

doi

10.1007/s00268-020-05820-8

subject

Has Abstract

pub_date

2021-02-01 00:00:00

pages

420-428

issue

2

eissn

0364-2313

issn

1432-2323

pii

10.1007/s00268-020-05820-8

journal_volume

45

pub_type

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