Digital Twins in Healthcare and Their Applicability in Rhinology: A Narrative Review

Digital twins were initially introduced in the aerospace industry, but they have been applied to the medical field in the 2020s. The development of the Internet of Things, sensor technology, cloud computing, big data analysis, and simulation technology has made this idea feasible. Essentially, digital twins are virtual representations of real-world data that can generate virtual outcomes related to a patient based on their actual data. With this technology, doctors can predict treatment outcomes, plan surgery, and monitor patients’ medical conditions in real time. While digital twins have endless potential, challenges include the need to deal with vast amounts of data and ensure the security of personal information. In the field of rhinology, which deals with complex anatomy from the sinus to the skull base, the adoption of digital twins is just beginning. Digital twins have begun to be incorporated into surgical navigation and the management of chronic diseases such as chronic rhinosinusitis. Despite the limitless potential of digital twins, challenges related to dealing with vast amounts of data and enhancing the security of personal data need to be surmounted for this method to be more widely applied.

ChatGPT goes to the operating room: evaluating GPT-4performance and its potential in surgical education and training in the era of large language models

Purpose@#This study aimed to assess the performance of ChatGPT, specifically the GPT-3.5 and GPT-4 models, in understanding complex surgical clinical information and its potential implications for surgical education and training. @*Methods@#The dataset comprised 280 questions from the Korean general surgery board exams conducted between 2020 and 2022. Both GPT-3.5 and GPT-4 models were evaluated, and their performances were compared using McNemar test. @*Results@#GPT-3.5 achieved an overall accuracy of 46.8%, while GPT-4 demonstrated a significant improvement with an overall accuracy of 76.4%, indicating a notable difference in performance between the models (P < 0.001). GPT-4 also exhibited consistent performance across all subspecialties, with accuracy rates ranging from 63.6% to 83.3%. @*Conclusion@#ChatGPT, particularly GPT-4, demonstrates a remarkable ability to understand complex surgical clinical information, achieving an accuracy rate of 76.4% on the Korean general surgery board exam. However, it is important to recognize the limitations of large language models and ensure that they are used in conjunction with human expertise and judgment.

Characteristics and Distribution of Surgical Diseases in North Korean Research Papers Published between 2006 and 2017

Background@#Little is known about the surgical discipline in North Korea from the perspective of the outside world. This study aimed to examine the disease entities covered by articles published in the major medical journal in North Korea, “Surgery.” @*Methods@#Content and frequency analyses of 2,132 articles published in “Surgery” from 2006 to 2017 were conducted. Two medical doctors who majored in Surgery and anesthesiology perused the articles and compiled the diseases being elucidated in each article. The diseases described in each article were stratified into 13 surgical subspecialties. @*Results@#Articles from “Surgery,” similar to articles from the Western surgical community, also covered a wide variety of surgical diseases from different subspecialties, and the number of publications continued to grow consistently. Moreover, a number of studies focused on the fields of orthopedics and general Surgery dealing with benign diseases. Some articles focused on minimally invasive surgeries using laparoscopy. @*Conclusion@#The studies published in the North Korean journal “Surgery” encompass various clinical areas, but their quality is unclear.

Characteristics and Distribution of Surgical Diseases in North Korean Research Papers Published between 2006 and 2017

Background@#Little is known about the surgical discipline in North Korea from the perspective of the outside world. This study aimed to examine the disease entities covered by articles published in the major medical journal in North Korea, “Surgery.” @*Methods@#Content and frequency analyses of 2,132 articles published in “Surgery” from 2006 to 2017 were conducted. Two medical doctors who majored in Surgery and anesthesiology perused the articles and compiled the diseases being elucidated in each article. The diseases described in each article were stratified into 13 surgical subspecialties. @*Results@#Articles from “Surgery,” similar to articles from the Western surgical community, also covered a wide variety of surgical diseases from different subspecialties, and the number of publications continued to grow consistently. Moreover, a number of studies focused on the fields of orthopedics and general Surgery dealing with benign diseases. Some articles focused on minimally invasive surgeries using laparoscopy. @*Conclusion@#The studies published in the North Korean journal “Surgery” encompass various clinical areas, but their quality is unclear.