New Technologies, Precision Medicine, and AI in Emergency General Surgery
Springer International Publishing (Verlag)
978-3-032-09356-1 (ISBN)
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In the rapidly evolving landscape of healthcare, the intersection of AI, precision medicine, and cutting-edge technologies has sparked a revolution in the field of emergency and trauma surgery. The proposed book aims to be a trailblazer in this domain, offering a unique and structured exploration of these converging disciplines. This book is meticulously structured to offer a cohesive narrative, beginning with an extensive review of surgical technologies' historical evolution, leading to AI and precision medicine's introduction. Each chapter seamlessly builds on the preceding one, culminating in a lucid analysis of implementation challenges and future prospects, creating a robust knowledge foundation for readers., and providing invaluable insights to healthcare professionals, researchers, and policymakers seeking to enhance patient outcomes in high-stakes scenarios.
The book is specifically tailored for medical professionals, surgeons, researchers, and educators who are at the forefront of acute care and emergency surgery. By providing a comprehensive understanding of emerging technologies, AI applications, and precision medicine advancements, it equips them with the tools needed to optimize patient care and enhance clinical decision-making.
Belinda De Simone graduated in Medicine and Surgery at the University Sapienza of Roma; she then moved to Parma (Italy) to pursue her interest to become a visceral surgeon; here she was trained in emergency and trauma surgery and scientific research by Prof. Catena. She then moved to the academic Hospitals of Poissy and Saint Germain en Laye (France) to work with an expert minimally invasive surgeon, Prof. Elie Chouillard.
After obtaining her specialization in general surgery, Dr. Belinda De Simone joined the executive board of the World Society of Emergency Surgery as a young researcher and surgeon.
She was the responsible of scientific research from 2020 to 2023 at the Poissy and Saint Germain en Laye Hospitals. Her main research interests are emergency surgery and trauma management, geriatric emergency surgery, treatment of infections in emergency surgery and proper use of antibiotics, long-term outcomes of metabolic surgery, abdominal Wall surgery and complex hernia repair, artificial Intelligence and high technology implementation in emergency and trauma surgery. Currently, Dr Belinda De Simone divides her professional life between France and Italy, cultivating her multiple interests in surgical research and life as a woman surgeon, committed to promoting the importance of training in emergency surgery to improve the management of fragile and critically ill surgical patients.
Professor Fausto Catena is a world-renowned opinion leader in emergency general surgery. Until 2011, he was Consultant General Surgeon at the Dept. of General, Emergency and Transplant Surgery with at the St Orsola- Malpighi University Hospital of Bologna; from 2012 to 2020 he covered the role of Chief Department of Emergency and General Surgery at the Parma University Hospital, and in 2021 he moved to the Bufalini Hospital of Cesena, Italy, where he currently is Chief Department of General and Emergency Surgery. His research activity is focused on emergency surgery (acute cholecystitis, adhesion, intra-abdominal infections, trauma), renal transplantation (graft preservation), oncologic surgery (GIST and carcinomatosis- HIPEC), colorectal surgery (elective and emergency colorectal cancer, diverticular disease) and abdominal wall surgery (biological prostheses). He performed more than 4000 medium- high level surgical procedures. Winner of 20 national and international scientific prizes. Prof Catena is a member of many national and international Scientific Societies. General Secretary of the World Society of Emergency Surgery, he also is one of the Editors-in. Chief of its official organ,
1. Historical development of surgical technologies.- 2. Essential Surgical Tools and Imaging Techniques in Emergency Surgery: A Practical Overview.- 3. Introduction to Precision Medicine and Personalised Treatment in Acute Care and Emergency Surgery.- 4. Basics of AI in surgical practice and the role of AI in decision-making for risk assessment and clinical decision support.- 5. Application of AI in acute care and emergency surgery for the management of surgical patients.- 6. AI-driven prediction models, image analysis, and computer-assisted diagnosis in acute care surgery.- 7. Artificial Intelligent Assistants in Support of Trauma Surgery.- 8. Clinical Decision Support for Extreme Prehospital Emergencies.- 9. AI in the Trauma Bay.- 10. Introduction to telemedicine/teleconsultation/teletriage and its impact on acute care, trauma and emergency surgery (Challenges, regulatory considerations, and future directions).- 11. Overview of surgical robotics and automation technologies applications in acute care and emergency surgery (Robotic emergency surgery).- 12. Autonomous Robotics and AI in Trauma and Emergency Care for Space Medicine.- 13. Principles of Advancements in Imaging Modalities for Acute Care Surgery .- 14. Indocyanine Green Fluorescence-guided Emergency Surgery: principles for an evidence-based practice.- 15. Managing difficult cholecystectomies and hepatobiliary procedures with AI.- 16. AI-driven tools and Computer Vision for small bowel/colorectal surgical procedures.- 17. AI-powered Rehabilitation and Monitoring Systems for Orthopedic Trauma Patients.- 18. The monitoring of patients in ICU in the era of AI.- 19. Artificial Intelligence in MCIs, Current and Future Applications: a short review.- 20. 3D Printing in Orthopaedic Trauma Surgery.- 21. AI in bleeding control and other advanced gastrointestinal procedures.- 22. Advancements in Emergency Surgery through AI-Powered Hybrid Operating Rooms.- 23. Management of emergency surgical flow and operating rooms with AI support.- 24. Virtual reality, Large Language Models and Chatbots in surgical education and training.- 25. Machine Learning Models for Predicting Unplanned Hospital Readmission after Transcatheter Aortic Valve Replacement (TAVR).- 26. Big Data Management in the era of Artificial Intelligence.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Hot Topics in Acute Care Surgery and Trauma |
| Zusatzinfo | XVII, 456 p. 39 illus., 33 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Chirurgie | |
| Schlagworte | augmented reality • genomics • Imaging-guided sruger • Imaging-guided surgery • Prediction Model • remote monitoring • Robotics • telemedicine • Virtual Reality |
| ISBN-10 | 3-032-09356-2 / 3032093562 |
| ISBN-13 | 978-3-032-09356-1 / 9783032093561 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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