The role of artificial intelligence in enhancing safety assessment of laparoscopic cholecystectomy: a systematic review

Michael El Boghdady; Shahmir Temori; Dena Khaireldin; Béatrice M Ewalds-Kvist; Mustansar A Ghazanfar; Somaiah Aroori

doi:10.1016/j.hpb.2025.12.014

The role of artificial intelligence in enhancing safety assessment of laparoscopic cholecystectomy: a systematic review

Michael El Boghdady
, Shahmir Temori
, Dena Khaireldin
, Béatrice M Ewalds-Kvist
, Mustansar A Ghazanfar
, Somaiah Aroori

Research output: Contribution to journal › Review article › peer-review

Abstract

BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safety, and improve patient outcomes. This study systematically reviews AI applications in LC, evaluating different models and their performance.

METHODS: A systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive literature search was conducted using PubMed and ScienceDirect databases for studies published between 2014 and 2024. All studies assessing AI applications in LC were included. Data extraction focused on the study aims, types of AI tools, datasets, anatomical recognition capabilities, and accuracy metrics.

RESULTS: The search yielded 413 citations; a final list of 43 citations was compiled after applying the inclusion and exclusion criteria. Different datasets and developed AI tools were used in LC. AI tools were utilised in risk-scoring models for complication identification and outcome prediction, as well as for recognising anatomical landmarks during LC and subdividing the procedure into subtasks.

CONCLUSION: AI integration in LC is promising for improving intraoperative guidance, enhancing surgical education, and supporting decision-making processes. Future large-scale studies are warranted to validate the role of AI in improving patient safety and outcomes in LC.

Original language	English
Journal	HPB
DOIs	https://doi.org/10.1016/j.hpb.2025.12.014
Publication status	E-pub ahead of print - 4 Dec 2025
Externally published	Yes

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@article{47bc1078804e4e7aa54c11a1cc8b1195,

title = "The role of artificial intelligence in enhancing safety assessment of laparoscopic cholecystectomy: a systematic review",

abstract = "BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safety, and improve patient outcomes. This study systematically reviews AI applications in LC, evaluating different models and their performance.METHODS: A systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive literature search was conducted using PubMed and ScienceDirect databases for studies published between 2014 and 2024. All studies assessing AI applications in LC were included. Data extraction focused on the study aims, types of AI tools, datasets, anatomical recognition capabilities, and accuracy metrics.RESULTS: The search yielded 413 citations; a final list of 43 citations was compiled after applying the inclusion and exclusion criteria. Different datasets and developed AI tools were used in LC. AI tools were utilised in risk-scoring models for complication identification and outcome prediction, as well as for recognising anatomical landmarks during LC and subdividing the procedure into subtasks.CONCLUSION: AI integration in LC is promising for improving intraoperative guidance, enhancing surgical education, and supporting decision-making processes. Future large-scale studies are warranted to validate the role of AI in improving patient safety and outcomes in LC.",

author = "\{El Boghdady\}, Michael and Shahmir Temori and Dena Khaireldin and Ewalds-Kvist, \{B{\'e}atrice M\} and Ghazanfar, \{Mustansar A\} and Somaiah Aroori",

note = "Copyright {\textcopyright} 2025. Published by Elsevier Ltd.",

year = "2025",

month = dec,

day = "4",

doi = "10.1016/j.hpb.2025.12.014",

language = "English",

journal = "HPB",

issn = "1365-182X",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - The role of artificial intelligence in enhancing safety assessment of laparoscopic cholecystectomy

T2 - a systematic review

AU - El Boghdady, Michael

AU - Temori, Shahmir

AU - Khaireldin, Dena

AU - Ewalds-Kvist, Béatrice M

AU - Ghazanfar, Mustansar A

AU - Aroori, Somaiah

PY - 2025/12/4

Y1 - 2025/12/4

N2 - BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safety, and improve patient outcomes. This study systematically reviews AI applications in LC, evaluating different models and their performance.METHODS: A systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive literature search was conducted using PubMed and ScienceDirect databases for studies published between 2014 and 2024. All studies assessing AI applications in LC were included. Data extraction focused on the study aims, types of AI tools, datasets, anatomical recognition capabilities, and accuracy metrics.RESULTS: The search yielded 413 citations; a final list of 43 citations was compiled after applying the inclusion and exclusion criteria. Different datasets and developed AI tools were used in LC. AI tools were utilised in risk-scoring models for complication identification and outcome prediction, as well as for recognising anatomical landmarks during LC and subdividing the procedure into subtasks.CONCLUSION: AI integration in LC is promising for improving intraoperative guidance, enhancing surgical education, and supporting decision-making processes. Future large-scale studies are warranted to validate the role of AI in improving patient safety and outcomes in LC.

AB - BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safety, and improve patient outcomes. This study systematically reviews AI applications in LC, evaluating different models and their performance.METHODS: A systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive literature search was conducted using PubMed and ScienceDirect databases for studies published between 2014 and 2024. All studies assessing AI applications in LC were included. Data extraction focused on the study aims, types of AI tools, datasets, anatomical recognition capabilities, and accuracy metrics.RESULTS: The search yielded 413 citations; a final list of 43 citations was compiled after applying the inclusion and exclusion criteria. Different datasets and developed AI tools were used in LC. AI tools were utilised in risk-scoring models for complication identification and outcome prediction, as well as for recognising anatomical landmarks during LC and subdividing the procedure into subtasks.CONCLUSION: AI integration in LC is promising for improving intraoperative guidance, enhancing surgical education, and supporting decision-making processes. Future large-scale studies are warranted to validate the role of AI in improving patient safety and outcomes in LC.

U2 - 10.1016/j.hpb.2025.12.014

DO - 10.1016/j.hpb.2025.12.014

M3 - Review article

C2 - 41469245

SN - 1365-182X

JO - HPB

JF - HPB

ER -

The role of artificial intelligence in enhancing safety assessment of laparoscopic cholecystectomy: a systematic review

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