RESUMO
BACKGROUND: This study aimed to evaluate the use of artificial intelligence (AI) to detect the critical view of safety during elective laparoscopic cholecystectomy. METHODS: This was a prospective, observational study evaluating the detection of the critical view of safety with an AI software in a consecutive series of elective laparoscopic cholecystectomies compared with the blinded evaluation of 3 surgeons. The program was created using the digital tools PyCharm (JetBrains), Google Colab Pro (https://colab.google/), and YOLOv8 (Ultralytics). RESULTS: A total of 40 consecutive elective laparoscopic cholecystectomies were included in the study. The program was able to detect the critical view of safety in all cases following the experts' blinded opinion. CONCLUSION: In this preliminary experience, an AI software was able to detect the critical view of safety in elective laparoscopic cholecystectomies. Its application during nonelective cases, in which the critical view of safety is harder to achieve, might warrant further studies.