The Role of Artificial Intelligence in Surgery

Hashimoto, Daniel A.; Ward, Thomas M.; Meireles, Ozanan R.

doi:10.1016/j.yasu.2020.05.010

Cited by 52 publications

(38 citation statements)

References 26 publications

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“…Later, the surgeons can augment live decision-making during operation based on real-time AI analysis of intraoperative progress with vital signs, anatomical tracking, time decision, and live video to calculate the current percentage of adverse events, mortality, and morbidity. Followed by postoperative data, which integrated with the patient's condition to estimate vital signs, evaluate postoperative needs, recurrency rate, and potential adverse events [ 97 , 102 ]. Chen et al [ 103 ] developed an AI-based multimodal risk assessment model for surgical site infection (AMRAMS) for inpatients undergoing an operation.…”

Section: Trans-anal Endoscopic Microsurgery and Trans-anal Minimally Invasive Surgerymentioning

confidence: 99%

Minimally invasive gastrointestinal surgery: From past to the future

Rudiman¹

2021

Annals of Medicine and Surgery

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The improvement of the science and art of surgery began over 150 years ago. Surgical core tasks, “cutting and sewing” with hand and direct contact with the organs, have remained the same. However, in the 21st century, there has been a shifting paradigm in the methodology of surgery. The joint union between innovators, engineers, industry, and patient demands resulted in minimally invasive surgery (MIS). This method has influenced the techniques in every aspect of abdominal surgery, such as surgeons are not required to direct contact or see the structures on which they operate. Advances in the endoscope, imaging, and improved instrumentations convert the essential open surgery into the endoscopic method. Furthermore, computers and robotics show a promising future to facilitate complex procedures, enhance accuracy in microscale operations, and develop a simulation to improve the ability to face sophisticated approaches. MIS has been replacing open surgery due to improved survival, fewer complications, and rapid recoveries in recent years. Minimally invasive surgery's further research in diagnostic and therapeutic modalities is under investigation to achieve genuinely “noninvasive” surgery. Thus, MIS has gained interest in recent days and has been improving with promising outcomes.

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Section: Trans-anal Endoscopic Microsurgery and Trans-anal Minimally Invasive Surgerymentioning

confidence: 99%

Minimally invasive gastrointestinal surgery: From past to the future

Rudiman¹

2021

Annals of Medicine and Surgery

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“…Ethical and legal considerations will play a major role in the research field of AI in surgery and should be carefully considered. Acquiring large amounts of surgical video data is paramount to the scalability and sustainability of the use of AI in surgery 34 . The considerations are as follows.…”

Section: Ethical and Legal Considerationsmentioning

confidence: 99%

Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives

Kitaguchi

Takeshita

Hasegawa

et al. 2021

Annals of Gastroent Surgery

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Technology has advanced surgery, especially minimally invasive surgery (MIS), including laparoscopic surgery and robotic surgery. It has led to an increase in the number of technologies in the operating room. They can provide further information about a surgical procedure, e.g. instrument usage and trajectories. Among these surgery‐related technologies, the amount of information extracted from a surgical video captured by an endoscope is especially great. Therefore, the automation of data analysis is essential in surgery to reduce the complexity of the data while maximizing its utility to enable new opportunities for research and development. Computer vision (CV) is the field of study that deals with how computers can understand digital images or videos and seeks to automate tasks that can be performed by the human visual system. Because this field deals with all the processes of real‐world information acquisition by computers, the terminology “CV” is extensive, and ranges from hardware for image sensing to AI‐based image recognition. AI‐based image recognition for simple tasks, such as recognizing snapshots, has advanced and is comparable to humans in recent years. Although surgical video recognition is a more complex and challenging task, if we can effectively apply it to MIS, it leads to future surgical advancements, such as intraoperative decision‐making support and image navigation surgery. Ultimately, automated surgery might be realized. In this article, we summarize the recent advances and future perspectives of AI‐related research and development in the field of surgery.

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“…Robotic surgery is used extensively in many areas of surgery, including oral and maxillofacial surgery. Bioprinting, diabetic retinopathy, spine imaging, and radiology are among the other applications (Hashimoto et al, 2020) (Zhou et al, 2019). Augmented reality, on the other hand, superimposes a computer-generated image on a patient's vision of the real world to create a consolidated view of the surgical field.…”

Section: Ai Assists In Improving Surgerymentioning

confidence: 99%

AI in Healthcare: medical and socio-economic benefits and challenges

Shaheen¹

2021

SSRN Journal

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The Role of Artificial Intelligence in Surgery

Cited by 52 publications

References 26 publications

Minimally invasive gastrointestinal surgery: From past to the future

Minimally invasive gastrointestinal surgery: From past to the future

Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives

AI in Healthcare: medical and socio-economic benefits and challenges

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