Artificial Intelligence and the Perspective of Autonomous Surgery

Artificial Intelligence and the Perspective of Autonomous Surgery

Gumbs, Andrew A.; Nawrat, Zbigniew; Karcz, Konrad

Springer International Publishing AG

01/2025

248

Dura

9783031685736

Pré-lançamento - envio 15 a 20 dias após a sua edição

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PART ONE: FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE SURGERY.- 1.1.- Medical Robots and Minimally Invasive Surgery driven by Artificial Intelligence - MR&MIS AI.- 1.2. Importance of the Data in the Surgical Environment.- 1.3. The challenges of deep learning in artificial intelligence and autonomous actions in surgery.- 1.4. Towards autonomous robotic-assisted interventions - the value of proximally placed audio sensors for surface and event characterization.- 1.5. Machine learning in surgery: Big Data.- 1.6. Artificial Intelligence and the Perspective of Autonomous Surgery: 3D Printing.- 1.7. Does Size Matter in Surgical Robots?.- 1.8. Promises and Perils of Artificial Intelligence in Surgery: The Critical Pathways for Successful Healthcare Outcomes.- 1.9. The Evolution of Minimally Invasive Robotic Surgery: Addressing Limitations and Forging Ahead?.- PART TWO: CLINICAL IMPLICATIONS.- 2.1. Artificial Intelligence for Medical Image Analysis: An Opportunity for Automation.- 2.2. Radiomics in Surgery: preoperative prediction of cancer in lung and other areas.- 2.3. Application of artificial intelligence based on preoperative and intraoperative imaging to hepatobiliary surgery.- 2.4. Limitations and opportunities of telemedicine.- 2.5. Revolution of Robotics and Automation in Vascular Surgery.- 2.6. Robotics for Visceral Surgery.- 2.7. Machine Learning assisting Robots.- 2.8. Does Level 5 Autonomy Already Exist in Surgery?.- PART THREE: Artificial Influence and Hospital Environment.- 3.1. Medical Training for Machines and Software.- 3.2. Surgery 4.0 in the Operating Room.- 3.3. Medical Authonomy: a Proposal for Modifying Regulation of Surgical Devices that Utilize Artificial Intelligence.
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autonomous robots;robot controlling;medical informatics;artificial intelligence;automation in medicine;Big Data in Medicine;machine learning;neural networks