Mini Review - Journal of Advanced Surgical Research (2023) Volume 7, Issue 3
The role of robotics in modern surgical procedures: a comprehensive review.
Department of Surgery, University Hospital of Geneva, Geneva 14, Switzerland
- *Corresponding Author:
- Nicolas Morel
Department of Surgery
University Hospital of Geneva
Geneva 14, Switzerland
Received: 04-May -2023, Manuscript No. AAASR-23-102986; Editor assigned: 05-May-2023, PreQC No. AAASR-23-102986(PQ); Reviewed: 19 -May-2023, QC No. AAASR-23-102986; Revised: 25-May-2023, Manuscript No. AAASR-23-102986(R); Published: 31-May-2023, DOI:10.35841/2591-7765-7.3.149
Citation: Morel N. The role of robotics in modern surgical procedures: A comprehensive review. J Adv Surge Res. 2023;7(3):149
Robotics has emerged as a game-changer in the field of surgery, revolutionizing the way procedures are performed. This comprehensive review aims to explore the role of robotics in modern surgical procedures by discussing its advantages, applications, limitations, and future prospects. The review highlights the impact of robotics on surgical precision, patient outcomes, and the overall advancement of the surgical field. Furthermore, it provides insights into various robotic systems used in different surgical specialties and presents evidence-based data supporting their efficacy. The review concludes by discussing potential challenges and future directions for the integration of robotics into mainstream surgical practice.
Robotics, Surgical procedures, Surgical precision, Patient outcomes, Robotic systems.
Artificial intelligence (AI) is making remarkable strides in transforming the field of surgery, augmenting the capabilities of healthcare professionals and improving patient outcomes. By leveraging machine learning algorithms, computer vision, and data analysis techniques, AI has the potential to enhance surgical decision-making processes at every stage, from preoperative planning to postoperative care. This article aims to highlight the impact of AI on surgical decision-making and patient care, along with the challenges and ethical considerations surrounding its implementation .
AI is revolutionizing preoperative planning by analyzing patient data, such as medical images, electronic health records, and genomic information. Machine learning algorithms can extract valuable insights from this data, aiding surgeons in assessing surgical risks, predicting outcomes, and customizing treatment plans. AI algorithms can quickly analyze vast amounts of data to identify patterns and offer recommendations for optimal surgical strategies, ultimately improving patient safety and surgical precision .
During surgery, AI can provide real-time guidance and assistance to surgeons. Computer vision techniques can analyze video feeds from surgical cameras, detecting anatomical structures, identifying critical regions, and alerting surgeons to potential risks or deviations from the surgical plan. AI-powered surgical robots enable enhanced dexterity and precision, augmenting the capabilities of human surgeons and reducing the risk of errors. By facilitating real-time decisionmaking support, AI systems contribute to improved surgical outcomes and patient safety .
AI has a significant impact on postoperative care by enabling predictive analytics and personalized patient monitoring. Machine learning algorithms can analyze postoperative data, including vital signs, laboratory results, and patient-reported outcomes, to identify trends, detect complications early, and provide personalized recommendations for postoperative care. This proactive approach can reduce readmission rates, optimize recovery, and enhance patient satisfaction .
The integration of AI into surgical decision-making is not without challenges. The reliance on AI systems necessitates robust validation and ongoing monitoring to ensure their accuracy, reliability, and safety. Ethical considerations, such as data privacy, informed consent, and algorithmic bias, must be addressed to maintain patient trust and protect patient rights. Additionally, there is a need to strike a balance between human expertise and AI assistance to avoid overreliance on automated systems and to ensure that the final decisions remain in the hands of experienced surgeons .
The impact of artificial intelligence on surgical decisionmaking and patient care is undeniable. From preoperative planning to intraoperative guidance and postoperative care, AI technologies are transforming the surgical landscape by improving surgical precision, patient outcomes, and healthcare efficiency. However, challenges related to validation, ethics, and human-AI collaboration must be carefully addressed to ensure the responsible integration of AI into surgical practice. With continued advancements and collaborative efforts between clinicians and AI researchers, the future holds great potential for AI-powered surgical decision-making, ultimately benefiting patients and healthcare providers alike.
- Patel VR, Tully AS, Holmes R, et al. Robotic radical prostatectomy in the community setting the learning curve and beyond: Initial 200 cases. J Urol. 2005;174(1):269-72.
- Dällenbach P, Petignat P. Perioperative outcomes of three-port robotically assisted hysterectomy: A continuous series of 53 cases. J Robot Surg. 2014;8:221-6.
- Jayne D, Pigazzi A, Marshall H, et al. Effect of robotic-assisted vs conventional laparoscopic surgery on risk of conversion to open laparotomy among patients undergoing resection for rectal cancer: The ROLARR randomized clinical trial. Jama. 2017;318(16):1569-80.
- Shazly SA, Murad MH, Dowdy SC, et al. Robotic radical hysterectomy in early stage cervical cancer: A systematic review and meta-analysis. Gynecol Oncol. 2015;138(2):457-71.
- Stafford AT, Walsh RM. Robotic surgery of the pancreas: The current state of the art. J Surg Oncol. 2015;112(3):289-94.