Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics

Zeineldin, Ramy A.; Junger, Denise; Mathis-Ullrich, Franziska; Burgert, Oliver

doi:10.1515/auto-2023-0061

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…Simulation capabilities would also allow surgeons to visualize potential interventions, such as screw or plate placement, prior to the actual procedure. In addition, the integration of AI-driven suggestions based on fracture complexity could further refine preoperative strategizing [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Comparison of virtual reality and computed tomography in the preoperative planning of complex tibial plateau fractures

Colcuc,

Miersbach,

Cienfuegos

et al. 2024

Arch Orthop Trauma Surg

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Introduction Preoperative planning is a critical step in the success of any complex surgery. The pur-pose of this study is to evaluate the advantage of VR glasses in surgical planning of complex tibial plateau fractures compared to CT planning. Materials and methods Five orthopedic surgeons performed preoperative planning for 30 fractures using either conventional CT slices or VR visualization with a VR headset. Planning was performed in a randomized order with a 3-month interval between planning sessions. A standardized questionnaire assessed planned operative time, planning time, fracture classification and understanding, and surgeons’ subjective confidence in surgical planning. Results The mean planned operative time of 156 (SD 47) minutes was significantly lower (p < 0.001) in the VR group than in the CT group (172 min; SD 44). The mean planning time in the VR group was 3.48 min (SD 2.4), 17% longer than in the CT group (2.98 min, SD 1.9; p = 0.027). Relevant parameters influencing planning time were surgeon experience (-0.61 min) and estimated complexity of fracture treatment (+ 0.65 min). Conclusion The use of virtual reality for surgical planning of complex tibial plateau fractures resulted in significantly shorter planned operative time, while planning time was longer compared to CT planning. After VR planning, more surgeons felt (very) well prepared for surgery.

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Section: Discussionmentioning

confidence: 99%

Comparison of virtual reality and computed tomography in the preoperative planning of complex tibial plateau fractures

Colcuc,

Miersbach,

Cienfuegos

et al. 2024

Arch Orthop Trauma Surg

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“…While specialized fields such as neurosurgery and cardiology are increasingly incorporating AI to improve surgical planning and robotic assistance, general surgery has been notably slower in adopting these advanced technologies [8,9].…”

Section: Introductionmentioning

confidence: 99%

What is the role of artificial intelligence in general surgery?

Baik,

Lee

2024

Ewha Med J

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The capabilities of artificial intelligence (AI) have recently surged, largely due to advancements in deep learning inspired by the structure and function of the neural networks of the human brain. In the medical field, the impact of AI spans from diagnostics and treatment recommendations to patient engagement and monitoring, considerably improving efficiency and outcomes. The clinical integration of AI has also been examined in specialties, including pathology, radiology, and oncology. General surgery primarily involves manual manipulation and includes preoperative, intraoperative, and postoperative care, all of which are critical for saving lives. Other fields have strived to utilize and adopt AI; nonetheless, general surgery appears to have retrogressed. In this review, we analyzed the published research, to understand how the application of AI in general surgery differs from that in other medical fields. Based on previous research in other fields, the application of AI in the preoperative stage is nearing feasibility. Ongoing research efforts aim to utilize AI to improve and predict operative outcomes, enhance performance, and improve patient care. However, the use of AI in the operating room remains significantly understudied. Moreover, ethical responsibilities are associated with such research, necessitating extensive work to gather evidence. By fostering interdisciplinary collaboration and leveraging lessons from AI success stories in other fields, AI tools could be specifically tailored for general surgery. Surgeons should be prepared for the integration of AI into clinical practice to achieve better outcomes; therefore, the time has come to consider ethical and legal implications.

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