Contributed: The power of AI in surgery

November 30, 2021 Artificial Intelligence, Digital Health, Navigation, Orthopedics, Robotics

Surgeons using VR and Medical Graphical User Interface, Innovation and Medical technology Concept

Artificial intelligence’s potential role in preoperative and intraoperative planning – and surgical robotics – is significant.

Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of healthcare through machine learning (ML) and natural language processing (NLP).

Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing information regarding the possibilities of computational implementation in practical surgery. Thanks to fast developments registered, AI is currently perceived as a supplement and not a replacement for the skill of a human surgeon.

And although the potential of the surgeon-patient-computer relationship is a long way from being fully explored, the use of AI in surgery is already driving significant changes for doctors and patients alike.

For example, surgical planning and navigation have improved consistently through computed tomography (CT), ultrasound and magnetic resonance imaging (MRI), while minimally invasive surgery (MIS), combined with robotic assistance, resulted in decreased surgical trauma and improved patient recovery.

How AI is shaping preoperative planning

Preoperative planning is the stage in which surgeons plan the surgical intervention based on the patient’s medical records and imaging. This stage, which uses general image-analysis techniques and traditional machine-learning for classification, is being boosted by deep learning, which has been used for anatomical classification, detection segmentation and image registration.

Deep learning algorithms were able to identify from CT scans abnormalities such as calvarial fracture, intracranial hemorrhage and midline shift. Deep learning makes emergency care possible for these abnormalities and represents a potential key for the future automation of triage.

By Dr. Liz Kwo | MobiHealthNews

Image Credit: cofotoisme / Getty Images

About Peter Coffaro 510 Articles

Peter Coffaro is a growth-driven and strategic executive with over 25 years of progressive management success in the medical device industry. With a proven track record and recognized expertise, Peter has established himself as one of the top influencers in medical sales, as acknowledged by prestigious publications such as the World Journal of Orthopedics, Exponential Healthtech, and MedReps.com. Throughout his career, Peter has accumulated 10 years of combined sales management experience, excelling in various roles including Director, General Manager, Distributor, and Vice President. He has worked for industry-leading orthopedic companies such as Zimmer, DePuy, and Stryker, solidifying his deep knowledge and network within the field. Peter’s passion for innovation and emerging technologies led him to found OrthoFeed, an award-winning blog covering digital orthopedic news and emerging medical technologies. Through this platform, he stays at the forefront of the industry and contributes to the dissemination of valuable insights. Peter is a three-time Hall of Fame award winner at Johnson and Johnson, demonstrating his exceptional contributions and impact on the organization. His expertise extends to areas such as organizational development, business development, sales management, digital marketing, and professional education. Peter earned a B.S. degree in Biology and Chemistry from Northern Illinois University, further complementing his comprehensive understanding of the medical field. With his wealth of experience, strategic mindset, and dedication to advancing healthcare, Peter Coffaro is a valuable asset and leader in the medical device industry.