Utilization of artificial intelligence in minimally invasive right adrenalectomy: recognition of anatomical landmarks with deep learning

References

• Brunt LM, Doherty GM, Norton JA, et al. Laparoscopic adrenalectomy compared to open adrenalectomy for benign adrenal neoplasms. J Am Coll Surg. 1996;183(1):1–10.
   PubMed Web of Science ®Google Scholar
• Gagner M, Pomp A, Heniford BT, et al. Laparoscopic adrenalectomy: lessons learned from 100 consecutive procedures. Ann Surg. 1997;226(3):238–247. doi: 10.1097/00000658-199709000-00003.
   PubMed Web of Science ®Google Scholar
• Agcaoglu O, Sengun B, Senol K, et al. Comparison of technical details and short-term outcomes of single-incision versus multiport laparoscopic adrenalectomy. Surg Laparosc Endosc Percutan Tech. 2019;29(1):49–52. doi: 10.1097/SLE.0000000000000596.
   PubMed Web of Science ®Google Scholar
• Kotzampassakis N, Maweja S, Defechereux T, et al. Surgical management of adrenal tumours. Lessons from a 10 years personal experience. Acta Chir Belg. 2005;105(2):156–160.
   PubMed Web of Science ®Google Scholar
• Mascagni P, Alapatt D, Sestini L, et al. Computer vision in surgery: from potential to clinical value. NPJ Digit Med. 2022;5(1):163. doi: 10.1038/s41746-022-00707-5.
   PubMed Web of Science ®Google Scholar
• Suliburk JW, Buck QM, Pirko CJ, et al. Analysis of human performance deficiencies associated with surgical adverse events. JAMA Netw Open. 2019;2(7):e198067. doi: 10.1001/jamanetworkopen.2019.8067.
   PubMed Web of Science ®Google Scholar
• Sengun B, Iscan Y, Tataroglu Ozbulak GA, et al. Artificial intelligence in minimally invasive adrenalectomy: using deep learning to identify the left adrenal vein. Surg Laparosc Endosc Percutan Tech. 2023;33(4):327–331. doi: 10.1097/SLE.0000000000001185.
   PubMed Web of Science ®Google Scholar
• Norgeot B, Quer G, Beaulieu-Jones BK, et al. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020;26(9):1320–1324. doi: 10.1038/s41591-020-1041-y.
   PubMed Web of Science ®Google Scholar
• von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453–1457. doi: 10.1016/S0140-6736(07)61602-X.
   PubMed Web of Science ®Google Scholar
• Labelbox [Available from: labelbox.com]. 2024.
   Google Scholar
• Hatamizadeh Nath Tang Yang Roth Xu A V Y D HR D. Swin UNETR: swin transformers for semantic segmentation of brain tumors in MRI images. Cham Springer International Publishing; 2022.
   Google Scholar
• Liu Z, Lin Y, Cao Y, et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV); Swin Transformer: hierarchical Vision Transformer using Shifted Windows. ; 2021 Oct. 10–17. Montreal, QC, Canada.
   Google Scholar
• Roy S, Koehler G, Ulrich C, et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada; 2023MedNeXt: transformer-Driven Scaling of ConvNets for; Medical Image Segmentation., 2023 Oct. 8–12, Proceedings, Part IV; Vancouver, BC, Canada: Springer-Verlag;. p. 405–15.
   Google Scholar
• Zhang D, Mishra S, Brynjolfsson E, et al. 2021. The AI index 2021 annual report. arXiv preprint arXiv:210306312.
   Google Scholar
• Kumazu Y, Kobayashi N, Kitamura N, et al. Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy. Sci Rep. 2021;11(1):21198. doi: 10.1038/s41598-021-00557-3.
   PubMed Web of Science ®Google Scholar
• Kitaguchi D, Takeshita N, Matsuzaki H, et al. Real-time vascular anatomical image navigation for laparoscopic surgery: experimental study. Surg Endosc. 2022;36(8):6105–6112. doi: 10.1007/s00464-022-09384-7.
   PubMed Web of Science ®Google Scholar
• Mascagni P, Vardazaryan A, Alapatt D, et al. Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning. Ann Surg. 2022;275(5):955–961. doi: 10.1097/SLA.0000000000004351.
   PubMed Web of Science ®Google Scholar
• Intuitive Announces FDA Clearance of Fifth-Generation Robotic System, da Vinci 5. [Available from: https://isrg.intuitive.com/news-releases/news-release-details/intuitive-announces-fda-clearance-fifth-generation-robotic.
   Google Scholar