A Step Towards Conditional Autonomy - Robotic Appendectomy

Zhang, Ruiyang; Chen, Junhong; Wang, Zeyu; Yang, Ziqi; Ren, Yunxiao; Shi, Peilun; Calo, James; Lam, Kyle; Purkayastha, Sanjay; Lo, Benny

doi:10.1109/lra.2023.3254859

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Extensive validation in a simulated environment, utilizing the da Vinci research kit, demonstrated that the proposed method can perform appendectomies semi-automatically. A framework based on this method could decrease the total working path length, completion time, and appendix stump length, while preserving a high similarity to the demonstrated trajectories [28].…”

Section: Advancing Artificial Intelligence In General Surgery: Curren...mentioning

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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Section: Advancing Artificial Intelligence In General Surgery: Curren...mentioning

confidence: 99%

What is the role of artificial intelligence in general surgery?

Baik,

Lee

2024

Ewha Med J

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“…In Luo et al (2023), DMPs were employed to encode skilled operator movements, which were then used for training novice operators. The method in Zhang et al (2023) used DMPs to partially automate the surgical process of appendectomy.…”

Section: Teleoperationmentioning

confidence: 99%

Dynamic movement primitives in robotics: A tutorial survey

Saveriano,

Abu-Dakka,

Kramberger

et al. 2023

The International Journal of Robotics Research

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Biological systems, including human beings, have the innate ability to perform complex tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to comprehend and formally define this innate characteristic. The idea, supported by several experimental findings, that biological systems are able to combine and adapt basic units of motion into complex tasks finally leads to the formulation of the motor primitives’ theory. In this respect, Dynamic Movement Primitives (DMPs) represent an elegant mathematical formulation of the motor primitives as stable dynamical systems and are well suited to generate motor commands for artificial systems like robots. In the last decades, DMPs have inspired researchers in different robotic fields including imitation and reinforcement learning, optimal control, physical interaction, and human–robot co-working, resulting in a considerable amount of published papers. The goal of this tutorial survey is two-fold. On one side, we present the existing DMP formulations in rigorous mathematical terms and discuss the advantages and limitations of each approach as well as practical implementation details. In the tutorial vein, we also search for existing implementations of presented approaches and release several others. On the other side, we provide a systematic and comprehensive review of existing literature and categorize state-of-the-art work on DMP. The paper concludes with a discussion on the limitations of DMPs and an outline of possible research directions.

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A Step Towards Conditional Autonomy - Robotic Appendectomy

Cited by 2 publications

References 26 publications

What is the role of artificial intelligence in general surgery?

What is the role of artificial intelligence in general surgery?

Dynamic movement primitives in robotics: A tutorial survey

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