First fully automated planning solution for robotic radiosurgery – comparison with automatically planned volumetric arc therapy for prostate cancer

Rossi, L.; Sharfo, A.W.; Aluwini, S.; Dirkx, M.; Breedveld, S.; Heijmen, B.

doi:10.1080/0284186x.2018.1479068

Cited by 28 publications

(40 citation statements)

References 46 publications

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“…The investigated MRL system only allows coplanar treatment. In previous studies using automated planning we observed superiority of non-coplanar treatment compared to coplanar [23]. However, in [23] equal PTV margins were used for the coplanar and non-coplanar plans.…”

Section: Discussionmentioning

confidence: 83%

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First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer

et al. 2020

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Section: Discussionmentioning

confidence: 83%

“…In previous studies using automated planning we observed superiority of non-coplanar treatment compared to coplanar [23]. However, in [23] equal PTV margins were used for the coplanar and non-coplanar plans. Due to the advanced imaging, it is to be expected that margins can be largely reduced for the MRL.…”

Section: Discussionmentioning

confidence: 83%

First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer

et al. 2020

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“…The radiation beams can be precisely directed toward the targeted tumors while avoiding healthy tissues. [361] This approach does not require any physical interaction between the surgical devices and patient during the operation. A few commercial systems such as the CyberKnife, the Novalis, and the Gamma Knife have successfully used automation in surgery.…”

Section: Potential Surgeries With Automationmentioning

confidence: 99%

Advanced Intelligent Systems for Surgical Robotics

Thai

Phan

Hoang

et al. 2020

Advanced Intelligent Systems

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Surgical robots have had clinical use since the mid‐1990s. Robot‐assisted surgeries offer many benefits over the conventional approach including lower risk of infection and blood loss, shorter recovery, and an overall safer procedure for patients. The past few decades have shown many emerging surgical robotic platforms that can work in complex and confined channels of the internal human organs and improve the cognitive and physical skills of the surgeons during the operation. Advanced technologies for sensing, actuation, and intelligent control have enabled multiple surgical devices to simultaneously operate within the human body at low cost and with more efficiency. Despite advances, current surgical intervention systems are not able to execute autonomous tasks and make cognitive decisions that are analogous to those of humans. Herein, the historical development of surgery from conventional open to robotic‐assisted approaches with discussion on the capabilities of advanced intelligent systems and devices that are currently implemented in existing surgical robotic systems is reviewed. Also, available autonomous surgical platforms are comprehensively discussed with comments on the essential technologies, existing challenges, and suggestions for the future development of intelligent robotic‐assisted surgical systems toward the achievement of fully autonomous operation.

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“…There is a concern that reducing the input of humans into radiotherapy processes could lead to a more blas e approach and reduction in the effects of curiosity and invention. An example of this is a recent article investigating a robotic radiosurgery autoplanning system [9] that compared outcomes with another autoplanning system, completely eliminating the human solution. With many of the current AI and machine learning articles relegating humans to the role of oversight and checking, this does seem like a possible consequence.…”

Section: Innovation In Radiotherapymentioning

confidence: 99%

Artificial Intelligence in Radiotherapy: A Philosophical Perspective

Bridge

Bridge²

2019

Journal of Medical Imaging and Radiation Sciences

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The increasing uptake of machine learning solutions for segmentation and planning leaves no doubt that artificial intelligence (AI) will soon be providing input into a range of radiotherapy procedures. Although this promises to deliver increased speed and accuracy, the future role of AI in relation to radiotherapy should be thought through carefully. There is currently a gap between published developments and widespread adoption, which provides some space to prepare the workforce and to consider the implications on practice. It is rare to find philosophical input into a medical journal, but the advent of AI makes this perspective increasingly important. Philosophical insight can help explore the potential impact of AI, in particular, on human creativity and oversight. Without this perspective, we run the risk of focusing solely on the immediate logistical impact on patients and departments. This commentary identifies three key aspects of radiotherapy that the authors feel would suffer most under AI control: creativity, innovation, and patient safety, which all demand uniquely human attributes. The article also provides insight from a philosophical perspective with regard to human consciousness, ethics, and empathy. Philosophically we should, perhaps, retain ethical concerns about the widening role of AI in radiotherapy beyond simple quantitative interpretation and image processing. As developments continue, we have time to determine how our roles will evolve and to establish a framework for ensuring appropriate human input into patient care. Most importantly, we must start to embed a philosophical approach to adoption of AI technology from the outset if we are to prepare ourselves for the challenge that lies ahead.

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First fully automated planning solution for robotic radiosurgery – comparison with automatically planned volumetric arc therapy for prostate cancer

Cited by 28 publications

References 46 publications

First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer

First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer

Advanced Intelligent Systems for Surgical Robotics

Artificial Intelligence in Radiotherapy: A Philosophical Perspective

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