Book intro--Digital Surgery


 "The future. Sometimes, we can close our eyes and almost see it. In the years leading up to 2020, digital surgery had reached a fever pitch. Abraham Lincoln once said, “the best way to predict the future is to create it.” In this  context, the coming age of surgery will be formed in the present by our own design. This book is written by many of those who, today, are laying the foundation for tomorrow’s operating environment. This textbook provides a trove  of insightful perspectives on where we are at this instant in time … and the trek ahead toward the realization of digital surgery.

What is digital surgery? Perhaps its definition should be left bound not by  diction but rather by imagination. To some degree, digital surgery is kaleidoscopic—its facets and shapes, shifting. In its commonest context, it entails the  application of artificial intelligence toward computer vision and automation in robotic-assisted surgery. More generally, however, the objective is to digitally define the patient, the surgical field, and the surgical problem or task at hand— to operate based on information, rather than based on anatomic planes alone.But digital surgery has shapeshifted into other, equally intriguing facets—many of which are exemplified by chapter headings throughout this book. Digital surgery is fundamental to 3D-printed organs, mind-controlled limbs, image-guided navigation, and tele-mentoring. It is the key that unlocks the metaphorical doorway to surgical access, thereby creating a global framework for surgical training, education, planning, and much more. This 4.0-version of surgery will also provide methods of measurement and perception outside of the human umwelt—including the ability to visualize fields beyond the visible light spectrum, via near infrared fluorescent organic dyes which are rapidly being bioengineered to target specific tumors, as well as native  anatomic structures of interest.
Digital surgery ushers in the era of patient centricity. Rather than focusing solely on the anatome, surgeons will operate with an enriched understanding of an individual’s
specific attributes: including the human phenome, physiome, microbiome, genome, and epigenome. In parallel, digital surgery will  harness the power and fluidity of the cloud. The cloud is poised to emerge as a significant resource for surgeons over the next decade—especially through  shared machine learning, both regionally and globally. It is important to understand that digital surgery is not the last step in evolution, but only the  next. A touchstone towards computer-centric surgery and the new age of surgical automation, robotic-machine learning, augmented environments, and the like.

In 2005, when I was a fourth-year surgical resident in training, I was  reminded of where we stand with regard to innovation in surgery on a grand scale. I had the opportunity to meet famed surgeon Michael DeBakey that  year. At our encounter, I asked him with genuine curiosity, “do you think the era of innovation and discovery in surgery is over and done?” I went on to ramble off several seismic milestones—the first heart transplant in a human,  the development of general anesthetics, the creation of the lung-heart bypass machine, electrocautery, and so on. He shook his head at me and, with a wide  grin and a sparkle of certainty in his eyes, said, “Not at all!” … he added with a chuckle, “This is just the beginning!”  DeBakey was right. Indeed, we are at one of the most exciting times in the history of surgery, and we are only getting started. Off we go... a great odyssey lies ahead! We are at the very beginning of time for the human race. It is not unreasonable that  we grapple with problems. But there are tens of thousands of years in the future. Our responsibility is to do what we can, learn what we can, improve the solutions, and pass them on. Richard P. Feynman
Orlando, FL, USA Sam Atallah, MD"

1 The Cognitive Revolution, Thomas M. Ward and Ozanan Meireles
2 The Vision of Digital Surgery, Bernhard Fuerst, Danyal M. Fer, David Herrmann,  and Pablo Garcia Kilroy
3 Artificial Intelligence for Next-Generation Medical Robotics, M. Mahir Ozmen, Asutay Ozmen, and Çetin Kaya Koç
4 Cloud Computing for Robotics and Surgery, Asa B. Atallah and Sam Atallah
5 Quantum Theory and Computing for Surgeons, Sam Atallah and Asa B. Atallah
6 5G Networks, Haptic Codecs, and the Operating Theatre, Mischa Dohler
7 Haptics and Vision Systems for Surgical Robots, Marco Ferrara and Mark K. Soliman
8 Digital and 3D Printed Models for Surgical Planning, Jordan Fletcher and Danilo Miskovic
9 Realistic Organ Models for Simulation and Training, Pratik M. S. Gurung and Ahmed E. Ghazi
10 The Challenge of Augmented Reality in Surgery, P. J. “ Eddie” Edwards, Manish Chand, Manuel Birlo, and  Danail Stoyanov
11 Navigation and Image-Guided Surgery, Arthur Randolph Wijsmuller,  Luis Gustavo Capochin Romagnolo, Esther Consten, Armando Errando Franchini Melani, and Jacques Marescaux
12 Operating in the Near-Infrared Spectrum, Thomas George Barnes
13 Fluorescence-Guided Resections: A Binary Approach to Surgery; Stephanie Schipmann and Walter Stummer
14 A Virtual Reality for the Digital Surgeon; Diana Velazquez-Pimentel, Thomas Hurkxkens,
and Jean Nehme
15 Robotic Automation for Surgery, Hossein Dehghani and Peter C. W. Kim
16 3D Bioprinting, Ippokratis Pountos, Nazzar Tellisi, Mohammad Ali Darabi,  Ahmet Erdem, Tamer Mohamed, Murat Guvendiren, and Nureddin Ashammakhi
17 Augmented Reality for Interventional Procedures, Atul Gupta, Daniel Ruijters, and Molly L. Flexman
18 The Visible Patient: Augmented Reality in the  Operating Theater,  Luc Soler, Alexandre Hostettler, Toby Collins, Patrick Pessaux, Didier Mutter, and Jacques Marescaux
19 Augmented Cognition in the Operating Room, Roger Daglius Dias, Steven J. Yule, and Marco A. Zenati
20 Cooperative and Miniature Robotics: Potential Applications in Surgery, Joseph J. Eid and Dmitry Oleynikov
21 Human-Machine Integration and the Evolution of Neuroprostheses, William Kethman and Richard F. ff. Weir
22 Nonlinear Robotics in Surgery, Deborah Keller, Sam Atallah, Rithvik Seela, Barbara Seeliger, and Eduardo Parra-Davila
23 Artificial Intelligence and Machine Learning: Implications for Surgery, David Hindin
24 AI and Endoscopy: Future Perspectives, Daljeet Chahal, Neal Shahidi, and Michael F. Byrne
25 Explainable AI for the Operating Theater, Frank Rudzicz and Shalmali Joshi
26 A Digital Doorway to Global Surgery, Nadine Hachach-Haram 

27 Telementoring for Minimally Invasive Surgery, Justin W. Collins, Runzhuo Ma, Yanick Beaulieu, and Andrew J. Hung

28 Digital Medical School: New Paradigms for Tomorrow’s Surgical Education, Joanna Ashby, Isaac Ndayishimiye, Arsen Muhumuza and Sylvine Niyoyita
29 3D Simulation and Modeling for Surgeon Education and Patient Engagement, Anna Przedlacka, Przemyslaw Korzeniowski, Paris Tekkis, Fernando Bello, and Christos Kontovounisios
30 Next-Generation Surgical Robots, Shinil K. Shah, Melissa M. Felinski, Todd D. Wilson,  Kulvinder S. Bajwa, and Erik B. Wilson
31 Artificial Intelligence and Computer Vision, Sam Atallah
32 The Future of Surgery, Rebecca A. Fisher, Suewan Kim, and Prokar Dasgupta

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