Li H, Han Z, Wu H et al (2025) Artificial intelligence in surgery: evolution, trends, and future directions. Int J Surg 111:2101–2111. https://doi.org/10.1097/JS9.0000000000002159

Article  PubMed  Google Scholar 

Erdem O, Canbak T, Acar A, Başak F (2025) Beyond the hype: mapping the evolution of artificial intelligence in general surgery through two decades of bibliometrics. World J Surg 49:3402–3409. https://doi.org/10.1002/wjs.70165

Article  PubMed  Google Scholar 

Chan LKM, Mao BP, Zhu R (2025) A bibliometric analysis of perioperative medicine and artificial intelligence. J Perioper Pract 35:520–529. https://doi.org/10.1177/17504589251320811

Article  PubMed  Google Scholar 

Ou Y, Hu X, Luo C, Li Y (2025) Global trends in artificial intelligence research in anesthesia from 2000 to 2023: a bibliometric analysis. Perioper Med 14:47. https://doi.org/10.1186/s13741-025-00531-x

Article  Google Scholar 

Liu K, Qiu W, Yang X (2025) Exploring the growth and impact of artificial intelligence in anesthesiology: a bibliometric study from 2004 to 2024. Front Med 12:1595060. https://doi.org/10.3389/fmed.2025.1595060

Article  Google Scholar 

Kocak B, Baessler B, Cuocolo R et al (2023) Trends and statistics of artificial intelligence and radiomics research in Radiology, nuclear Medicine, and medical imaging: bibliometric analysis. Eur Radiol 33:7542–7555. https://doi.org/10.1007/s00330-023-09772-0

Article  PubMed  Google Scholar 

Liu Y-X, Zhu C, Wu Z-X et al (2022) A bibliometric analysis of the application of artificial intelligence to advance individualized diagnosis and treatment of critical illness. Ann Transl Med 10:854–854. https://doi.org/10.21037/atm-22-913

Article  PubMed  PubMed Central  Google Scholar 

Tang R, Zhang S, Ding C et al (2022) Artificial intelligence in intensive care medicine: bibliometric analysis. J Med Internet Res 24:e42185. https://doi.org/10.2196/42185

Article  PubMed  PubMed Central  Google Scholar 

Le M-H, Le T-T, Tran PP (2024) AI in surgery: navigating trends and managerial implications through bibliometric and text mining odyssey. Surg Innov 31:630–645. https://doi.org/10.1177/15533506241289481

Article  PubMed  Google Scholar 

Bellini V, Russo M, Domenichetti T et al (2024) Artificial intelligence in operating room management. J Med Syst 48:19. https://doi.org/10.1007/s10916-024-02038-2

Article  PubMed  PubMed Central  Google Scholar 

Turgut N, Beyaz S (2024) The 100 most cited articles in artificial intelligence related to orthopedics. Front Surg 11:1370335. https://doi.org/10.3389/fsurg.2024.1370335

Article  PubMed  PubMed Central  Google Scholar 

Su F, Liu C, Sun H et al (2025) Global research trends in artificial intelligence in cardiovascular medicine: a bibliometric analysis. Archives Cardiovasc Dis S1875213625008204. https://doi.org/10.1016/j.acvd.2025.10.328

Article  Google Scholar 

Zhang Y (2024) Artificial intelligence in cardiology: a bibliometric study. Am J Transl Res 16:1029–1035. https://doi.org/10.62347/HSFE6936

Article  PubMed  PubMed Central  Google Scholar 

Aldousari E, Kithinji D (2024) Artificial intelligence and health information: a bibliometric analysis of three decades of research. Health Inf J 30:14604582241283969. https://doi.org/10.1177/14604582241283969

Article  Google Scholar 

Hashimoto DA, Rosman G, Rus D, Meireles OR (2018) Artificial intelligence in surgery: promises and perils. Ann Surg 268:70–76. https://doi.org/10.1097/SLA.0000000000002693

Article  PubMed  PubMed Central  Google Scholar 

Navab N, Hornegger J, Wells WM, Frangi AF (2015) Medical image computing and computer-assisted intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5–9, 2015, Proceedings, Part III. Springer International Publishing, Cham. http://link.springer.com/https://doi.org/10.1007/978-3-319-24574-4

Twinanda AP, Shehata S, Mutter D et al (2017) EndoNet: A deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 36:86–97. https://doi.org/10.1109/TMI.2016.2593957

Article  PubMed  Google Scholar 

Esteva A, Kuprel B, Novoa RA et al (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–118. https://doi.org/10.1038/nature21056

Article  CAS  PubMed  PubMed Central  Google Scholar 

Brodie A, Dai N, Teoh JY-C et al (2021) Artificial intelligence in urological oncology: an update and future applications. Urol Oncol Semin Origin Invest 39:379–399. https://doi.org/10.1016/j.urolonc.2021.03.012

Article  PubMed  Google Scholar 

Eskandar K (2025) Artificial intelligence in urology: revolutionizing diagnostics and treatment planning. Arab J Urol 23:341–347. https://doi.org/10.1080/20905998.2024.2443334

Article  PubMed  Google Scholar 

Zeng J, Fu Q (2024) A review: artificial intelligence in image-guided spinal surgery. Expert Rev Med Dev 21:689–700. https://doi.org/10.1080/17434440.2024.2384541

Article  CAS  Google Scholar 

Eun S-J, Kim J, Kim KH (2021) Applications of artificial intelligence in urological setting: a hopeful path to improved care. J Exerc Rehabil 17:308–312. https://doi.org/10.12965/jer.2142596.298

Article  PubMed  PubMed Central  Google Scholar 

Shah N, Khalid U, Kavia R, Batura D (2024) Current advances in the use of artificial intelligence in predicting and managing urological complications. Int Urol Nephrol 56:3427–3435. https://doi.org/10.1007/s11255-024-04149-8

Article  PubMed  Google Scholar 

Mesnard B, Schirmann A, Branchereau J et al (2024) Artificial intelligence: Ready to pass the European board examinations in urology? Eur Urol Open Sci 60:44–46. https://doi.org/10.1016/j.euros.2024.01.002

Article  PubMed  PubMed Central  Google Scholar 

Bellos T, Manolitsis I, Katsimperis S et al (2024) Artificial intelligence in urologic robotic oncologic surgery: a narrative review. Cancers 16:1775. https://doi.org/10.3390/cancers16091775

Article  PubMed  PubMed Central  Google Scholar 

Ogolo DE, Akwada OR, Ajare EC et al (2025) Robotic-assisted spine surgery: Hype or game-changer? J Robotic Surg 19:523. https://doi.org/10.1007/s11701-025-02697-4

Article  CAS  Google Scholar 

Kalanjiyam GP, Chandramohan T, Raman M, Kalyanasundaram H (2024) Artificial intelligence: a new cutting-edge tool in spine surgery. Asian Spine J 18:458–471. https://doi.org/10.31616/asj.2023.0382

Article  PubMed  PubMed Central  Google Scholar 

Moglia A, Georgiou K, Georgiou E et al (2021) A systematic review on artificial intelligence in robot-assisted surgery. Int J Surg 95:106151. https://doi.org/10.1016/j.ijsu.2021.106151

Article  PubMed  Google Scholar 

Mehmet S, Elmarawany MN, Harding I et al (2025) AI versus the spinal surgeons in the management of controversial spinal surgery scenarios. Eur Spine J 34:3736–3746. https://doi.org/10.1007/s00586-025-08825-w

Article  PubMed  Google Scholar 

Wah JNK (2025) The rise of robotics and AI-assisted surgery in modern healthcare. J Robotic Surg 19:311. https://doi.org/10.1007/s11701-025-02485-0

Article  Google Scholar 

Lee WT (2024) Artificial intelligence in medicine: a caution about good intentions and where it May lead. Otolaryngol–head Neck Surg 170:1605–1606. https://doi.org/10.1002/ohn.658

Article  PubMed  PubMed Central  Google Scholar 

Breuler CJ, Prescher H (2026) Ethics and policy challenges in applying artificial intelligence in medicine. Hand Clin 42:85–93. https://doi.org/10.1016/j.hcl.2025.08.010

Article  PubMed  Google Scholar 

Raab R, Küderle A, Zakreuskaya A et al (2023) Federated electronic health records for the European health data space. Lancet Digit Health 5:e840–e847.