Supervised autonomous robotic soft tissue surgery

By A. Shademan, Ryan S. Decker, J. Opfermann, S. Léonard, Axel Krieger, Peter C. W. Kim. 2016

550 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Surgery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Daniela Rus
2. Kush R. Varshney
3. Andreas Holzinger
4. Ge Wang
5. Homa Alemzadeh
6. Katharina Holzinger
7. Yanbo Zhang
8. Hengyong Yu

In Surgery

1. Kush R. Varshney
2. Homa Alemzadeh
3. Kaveh Memarzadeh
4. Adam Bohr

Citations in the corpus

• On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products (2016, background): “, knottying, suturing, or stitching) to reduce the cognitive workload on the surgical team [16], [17].”
• A Perspective on Deep Imaging (2016, background): “Moreover, why not combine diagnosis and intervention via deep learning? Supervised autonomous robotic soft tissue surgery is an initial example [47].”
• Artificial Intelligence in Surgery: Promises and Perils (2018, methodology): “For example, the Smart Tissue Autonomous Robot (STAR) developed by Johns Hopkins University was equipped with algorithms that allowed it to match or outperform human surgeons in autonomous ex vivo and in vivo bowel anastomosis in animal models.(38) Although truly autonomous robotic surgery will rema”
• A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting (2019, background): “For deformable substances, the deformation behaviours are highly nonlinear and thus present challenges for manipulation and precise cutting [5].”
• Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives (2024, background): “Furthermore, studies have indicated that supervised autonomous robot surgery can outperform traditional manual surgery in complex intestinal anastomosis operations, which demand great skillfulness as well as delicacy from surgeons [74,77].”
• Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery (2019, methodology): “14 Likewise, with robotic ‐ assisted surgery techniques in ex vivo porcine tissues.”