AI In Surgery: Robotics And Beyond
Published on: October 31, 2024
AI In Surgery: Robotics And Beyond
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Jena Alkatheri

Bachelor of Science - BSc, Biomedical Science, Aston University

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Zahra Khan

MSc Neuroscience, University of Toronto

Many aspects of contemporary life are being revolutionised by artificial intelligence (AI), and the field of surgery is among the most interesting applications of this technology. Technologies such as robotic systems that support surgeons and sophisticated AI-driven analytics that improve decision-making are transforming surgical procedures and enhancing patient outcomes.1 This article examines AI's involvement in surgery, its advantages, present uses and potential future developments.

The rise of surgical robots

AI applications in medicine are now centred on surgical robots. Among the most well-known is the da Vinci Surgical System, which became the first operative surgical robot in the US when it gained regulatory approval from the FDA in 2000 for general laparoscopic procedures. This technique allows surgeons to execute sophisticated treatments through small incisions, reducing pain and speeding up patient recovery.2 This has revolutionised minimally invasive surgery.

The da Vinci robotic surgical system comprises a surgeon’s station and a patient-side cart with four interacting robotic arms. These arms are capable of more precise instrument manipulation than can be achieved by human hands. For instance, the da Vinci system enables improved accuracy and control in delicate procedures including cancer resections, heart valve repairs, and prostatectomies.2 With improved vision and dexterity, surgeons can perform operations that minimise tissue damage and improve surgical outcomes.

Surgeons can see an enlarged image of the surgical site thanks to high-definition 3D cameras installed in robotic systems like the da Vinci.2 More accurate dissection and suturing are made possible by the precise motions of the robot in conjunction with this visualisation. By optimising the robot's operations based on the surgeon's actions and input from the surgical environment, AI integration improves these capabilities.

Beyond robotics: AI in medical imaging and diagnostics

AI is having a significant impact on surgery beyond surgical robotics. Medical diagnostics and imaging – two essential phases of the surgical planning process – are being revolutionised by AI. With astounding precision, AI algorithms can examine medical images like X-rays, MRIs, and CT scans and spot anomalies the human eye could overlook.3

Early detection of medical conditions is crucial for effective treatment, and AI-driven diagnostic technologies can help with this. AI can detect cancer in its early stages by helping identify small tumours in mammograms or lung nodules in CT scans.3 AI is not only assisting in surgery but also improving pre- and post-surgical planning, according to studies that demonstrate it may equal or even exceed the diagnostic accuracy of skilled radiologists. 4 

AI can also combine data from multiple imaging modalities to provide a thorough assessment of a patient's condition.3 With fewer unknowns and better results, this comprehensive perspective helps surgeons determine the best surgical strategy. Continuous improvements in diagnostic efficiency and accuracy are made possible by AI's capacity to process and learn from massive volumes of data.

Enhancing surgical precision with AI

AI aims to improve human skills in addition to supplementing or replacing them. AI-driven surgical navigation systems advise surgeons during surgeries by utilising information from real-time imaging and pre-operative scans.2 By aiding the precision of incisions and steering clear of important tissues, these devices reduce the possibility of problems during surgery.

AI, for example, can help map the complex network of blood arteries and functional areas in the brain during neurosurgery. This information is essential to prevent critical brain areas from being damaged during tumour resection or aneurysm treatment.2 Similarly, AI in orthopaedic surgery can assist in matching prosthetic implants to the individual anatomy of the patient, guaranteeing improved fit and functionality.2

AI-powered instruments can potentially give surgeons real-time feedback. AI, for instance, can assist in ensuring precise implant and screw placement during spine surgery, therefore minimising the need for remedial procedures.2 This level of accuracy is especially crucial for surgical procedures where millimetres can have a big impact on patient outcomes.

AI in personalised surgery

In AI-assisted surgery, personalisation is yet another fascinating prospect. AI can assist in customising surgical techniques to meet the requirements of each patient, as they are all unique. AI can help plan the best surgical strategy by evaluating a patient's genetic information, medical history, and other relevant data.5

AI can be used to build personalised implants in orthopaedic surgery that precisely match the anatomy of the patient.5 Better results and quicker healing times may result from these customised implants. Analogously, AI can assist in determining the optimal tumour removal margins during cancer surgery by striking a balance between the necessity to remove diseased tissue and the preservation of as much healthy tissue as feasible.5

AI is also capable of improving pre- and post-operative care schedules. AI can anticipate possible issues and recommend preventive actions by examining data from cases that are similar to its own.5 This degree of customisation guarantees that every patient receives care catered to their unique requirements, enhancing the effectiveness of their treatment as a whole.

Reducing human error with AI

AI's ability to reduce human error in surgery is among its most important advantages. Errors can be made by even the most experienced surgeons, especially during lengthy and intricate surgeries. When human errors occur, AI can serve as a safety net by sending out notifications in real time.6

During surgery,  AI systems can continuously monitor vital signs and other important information. The technology can promptly notify the surgical team if it identifies a possible issue, such as a dip in blood pressure or an erratic pulse.6 This early warning system enhances both patient safety and the avoidance of complications.

AI can also help standardise surgical techniques so that best practices are always adhered to.8 Through the analysis of data from multiple procedures, AI can determine the best methods and protocols.6 With this data, uniform rules that improve surgical results and reduce variability can be created.

Training the next generation of surgeons

The training of surgeons is also being significantly impacted by AI. Realistic surgical simulations are being produced via the use of AI-powered virtual reality (VR) and augmented reality (AR).7 To prepare for performing surgery on real patients, these simulators give aspiring surgeons a risk-free environment to practice.

AI can monitor the performance of resident physicians, offering comprehensive critiques of their methods and highlighting development opportunities.7 AI is capable of evaluating a surgeon's ability to perform procedures correctly, move efficiently, and make precise incisions. A higher level of ability and better readiness for the demands of the operating room is produced by this type of individualised training for surgeons.

AI-driven simulations can also be configured to mimic a variety of surgical situations, ranging from commonplace operations to uncommon and complicated instances.7 In the end, this thorough training improves patient care by ensuring surgeons are prepared to handle a range of circumstances.

The future of AI in surgery

AI in surgery has a bright future. Ever more sophisticated robotic systems that require less human involvement to perform surgeries are being developed by researchers.8 These self-governing robots might be able to perform ordinary tasks, freeing surgeons to concentrate on more difficult cases.

Also anticipated is a greater role for AI in post-surgical care. AI can assist in anticipating complications and suggesting remedies before they become critical by continuously monitoring patients' recuperation and analysing data.8 Patients may see superior long-term results as a result of this proactive strategy.

Real-time data sharing and remote surgeries will be made possible by the integration of AI with other cutting-edge technologies like 5G and the Internet of Things (IoT).8 Imagine a world in which sophisticated robotic devices and high-speed internet enable a surgeon in one location to operate on a patient in another location. This international partnership has the potential to transform access to speciality surgical treatment, particularly in underprivileged or remote areas.

AI may also make it easier to create smart implants and other gadgets that continuously monitor patients' conditions and modify their functionality.8 AI-enabled pacemakers might improve heart rhythms in real-time, while orthopaedic implants with intelligence could track recovery and report back to patients and medical professionals.

Ethical and regulatory considerations

As with any technological advancement, the use of AI in surgery comes with ethical and regulatory challenges. Ensuring patient privacy, data security, and the reliability of AI systems are critical concerns that must be addressed. Regulatory bodies are working on guidelines to ensure that AI technologies are safe and effective for medical use.9

There is a need for transparency in how AI algorithms make decisions. Surgeons and patients must understand the basis for AI recommendations and actions, fostering trust in these systems. Continuous monitoring and updating of AI systems are essential to ensure they remain accurate and reliable.

Although AI has the potential to greatly enhance surgical capabilities, it should not take the place of experienced surgeons' knowledge and discernment. It will therefore be essential to have a balanced integration where AI aids in human decision-making.

Summary

Surgical techniques are becoming safer, more accurate, and customised thanks to AI. The application of AI is ushering in a new age in surgical care, from robotic help to sophisticated diagnostics and individualised treatment plans. The potential applications of AI in surgery are virtually endless as technology develops, offering the greatest possible treatment for patients at the lowest possible risk in the future.

The possibilities are profound and exhilarating, and the adventure is just starting. By adopting these technologies, surgeons' skills will be improved as well as patient outcomes, increasing equity and effectiveness in healthcare. AI-powered surgery promises an entirely new standard for patient care and medical excellence in the future.

References

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  2. Mithany RH, Aslam S, Abdallah S, Abdelmaseeh M, Gerges F, Mohamed MS, et al. Advancements and Challenges in the Application of Artificial Intelligence in Surgical Arena: A Literature Review. Cureus [Internet]. 2023 [cited 2024 Oct 22]; 15(10). Available from: https://www.cureus.com/articles/201905-advancements-and-challenges-in-the-application-of-artificial-intelligence-in-surgical-arena-a-literature-review.
  3. Pinto-Coelho L. How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications. Bioengineering [Internet]. 2023 [cited 2024 Oct 24]; 10(12):1435. Available from: https://www.mdpi.com/2306-5354/10/12/1435.
  4. Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Broeders M, Gennaro G, Clauser P, et al. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists. J Natl Cancer Inst. 2019; 111(9):916–22.
  5. Johnson KB, Wei W-Q, Weeraratne D, Frisse ME, Misulis K, Rhee K, et al. Precision Medicine, AI, and the Future of Personalized Health Care. Clinical and Translational Science [Internet]. 2020 [cited 2024 Oct 24]; 14(1):86. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC7877825/.
  6. Lenskjold A, Nybing JU, Trampedach C, Galsgaard A, Brejnebøl MW, Raaschou H, et al. Should artificial intelligence have lower acceptable error rates than humans? BJR Open. 2023; 5(1):20220053.
  7. Kavic MS. Teaching and Training Surgery to the Next Generation of Surgeons. JSLS : Journal of the Society of Laparoendoscopic Surgeons [Internet]. 2011 [cited 2024 Oct 24]; 15(3):279. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC3183564/.
  8. Amin A, Cardoso SA, Suyambu J, Saboor HA, Cardoso RP, Husnain A, et al. Future of Artificial Intelligence in Surgery: A Narrative Review. Cureus [Internet]. 2024 [cited 2024 Oct 24]; 16(1). Available from: https://www.cureus.com/articles/204683-future-of-artificial-intelligence-in-surgery-a-narrative-review.
  9. Brasel WKJ, Meyer AA. Ethical considerations. In: Surgical Treatment: Evidence-Based and Problem-Oriented [Internet]. Zuckschwerdt; 2001 [cited 2024 Oct 24]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK6980/.
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Jena Alkatheri

Bachelor of Science - BSc, Biomedical Science, Aston University

Jena is a dedicated biomedical science student with a strong interest in advancing healthcare through research and innovation. She has gained valuable experience through various academic projects and internships, developing a keen understanding of scientific communication. She is eager to share her insights and knowledge through her writing, engaging readers in the dynamic world of science and healthcare.

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