Article
Medicine, General & Internal
Alan Kawarai Lefor, Saul Alexis Heredia Perez, Atsushi Shimizu, Hung-Ching Lin, Jan Witowski, Mamoru Mitsuishi
Summary: The value of kinematic data for skill assessment was investigated using a virtual reality simulator developed for liver surgery. The simulator differentiated between expert surgeons and novices, showing that simulation can be an effective way to obtain kinematic data.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Surgery
Randi Q. Mao, Lucy Lan, Jeffrey Kay, Ryan Lohre, Olufemi R. Ayeni, Danny P. Goel, Darren de Sa
Summary: Immersive virtual reality simulators have shown promising results in enhancing surgical skills acquisition in medical students, residents, and staff surgeons, improving procedural time, task completion, accuracy, user ratings, and cost-effectiveness. Studies support the incorporation of immersive VR into surgical training programs.
JOURNAL OF SURGICAL RESEARCH
(2021)
Article
Pediatrics
Go Miyano, Makoto Takahashi, Takamasa Suzuki, Hisae Iida, Eri Abe, Haruki Kato, Shiho Yoshida, Geoffrey J. Lane, Koichiro Ichimura, Kazuhiro Sakamoto, Atsuyuki Yamataka, Tadaharu Okazaki
Summary: The study aimed to discuss the efficacy of live vs. remote cadaver surgical training for minimally invasive surgery. Results showed that all groups of interns showed improvements in their understanding of various aspects related to surgery after the training sessions. Remote observers had significant increases in field, anatomy, dissection, and planning; live observers and participants also showed improvements in different areas. The findings suggest that remote learning could be a viable option when resources are limited.
FRONTIERS IN PEDIATRICS
(2023)
Article
Computer Science, Interdisciplinary Applications
James Calvert, Margee Hume
Summary: Our research investigates the use of narrative immersive virtual reality (IVR) in a classroom setting as pre-training material. The effectiveness of using narrative IVR in education is still limited. To address this, our study examines the cognitive and affective benefits of a narrative-based IVR experience called Thin Ice VR for students studying polar history and climate change. Results showed a significant increase in knowledge transfer when narrative IVR was used as pre-training material. However, its impact on knowledge acquisition, engagement, and motivation was minimal. The immersive narrative experience in IVR can elicit emotional reactions and is an effective medium for storytelling in classrooms.
Article
Multidisciplinary Sciences
Yue Huang, Yingwen Hu, Unman Chan, Pengyu Lai, Yueting Sun, Jun Dai, Xin Cheng, Xuesong Yang
Summary: This study explored the feasibility and acceptance of using virtual reality technology to train dental students in dental implantology. The results showed that virtual reality technology was helpful in improving students' implant skills and was well received by the participants.
Article
Surgery
Nicholas Raison, Patrick Harrison, Takashige Abe, Abdullatif Aydin, Kamran Ahmed, Prokar Dasgupta
Summary: The study showed that procedural VR training is more effective in minimally invasive surgery, leading to improved technical skills. Any VR training resulted in significantly higher GEARS scores compared to no training. Procedural VR simulation was found to be effective for robotic training, successfully transferring technical skills to a clinical task in cadavers.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2021)
Review
Clinical Neurology
Mitch R. Paro, David S. Hersh, Ketan R. Bulsara
Summary: Virtual reality (VR) and augmented reality (AR) technologies are increasingly being used in neurosurgical education to enhance technical skills and improve understanding of operative anatomy. These simulators have shown to boost trainees' confidence and overall surgical techniques.
WORLD NEUROSURGERY
(2022)
Article
Surgery
Maja Joosten, Vera Hillemans, Guus M. J. Bokkerink, Ivo de Blaauw, Bas H. Verhoeven, Sanne M. B. Botden
Summary: This study evaluates the feasibility and effectiveness of unsupervised at-home training and assessment of minimally invasive surgery (MIS) skills. The results show that participants significantly improved their skills in both suturing and peg transfer tasks after the two-week training period. This finding highlights the importance of this training method for healthcare professionals with limited exposure to clinical settings and training opportunities.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Editorial Material
Biotechnology & Applied Microbiology
Philip Wismer, Ainara Lopez Cordoba, Sarune Baceviciute, Frederik Clauson-Kaas, Morten Otto Alexander Sommer
Summary: Immersive virtual reality simulations designed for aspiring industry operators in biopharma manufacturing could offer a cost-effective substitute for real-life training in teaching practical skills.
NATURE BIOTECHNOLOGY
(2021)
Article
Health Care Sciences & Services
Moritz Mahling, Robert Wunderlich, Daniel Steiner, Eleonora Gorgati, Teresa Festl-Wietek, Anne Herrmann-Werner
Summary: In this study, the perceptions of medical students towards VR-based teaching and assessment were investigated. The majority of students showed a positive attitude towards the use of VR in education and assessment, although female students were comparatively less positive. Interestingly, gender, age, or prior experience did not affect the final test scores.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Patrycja Mickiewicz, Wojciech Gawecki, Maria Bratumila Gawlowska, Marcin Talar, Magdalena Wegrzyniak, Malgorzata Wierzbicka
Summary: The study evaluated the performance of a VR temporal bone surgery simulator in an antromastoidectomy simulation, showing an improvement in performance quality and increased confidence in surgical skills among participants after consecutive VR training sessions. Participants also expressed a desire for VR training to be included in routine educational programs for medical students.
Article
Surgery
Maja Joosten, Vera Hillemans, Marije van Capelleveen, Guus M. J. Bokkerink, Daan Verhoeven, Ivo de Blaauw, Bas H. Verhoeven, Sanne M. B. Botden
Summary: This study demonstrates that skill deterioration of minimally invasive surgical skills can be prevented by continuous at-home training. Regular unsupervised practice at home results in better skill retention compared to no training, indicating the importance of regular practice for surgical skills.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Article
Surgery
Karl-Friedrich Kowalewski, Laura Seifert, Laura Kohlhas, Mona Wanda Schmidt, Seher Ali, Carolyn Fan, Karl Felix Koeppinger, Beat Peter Mueller-Stich, Felix Nickel
Summary: This study introduced the concept of situational awareness (SA) into laparoscopic training and found that SA training had a positive impact on performance and error rate. It suggests that SA training should be included in a multimodal curriculum to improve the efficiency of laparoscopic surgical skills training.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Editorial Material
Obstetrics & Gynecology
Hilary R. Haber, Golnaz Namazi, Kristen Pepin, Jon I. Einarsson
Summary: The video demonstrates contained manual morcellation techniques in benign gynecologic surgeries, allowing tissue extraction through small incisions while reducing the risk of spreading malignancy.
JOURNAL OF MINIMALLY INVASIVE GYNECOLOGY
(2021)
Review
Surgery
V. Fuertes Bielsa
Summary: Major changes have taken place in the medical environment, shifting from traditional residency programs to competency-based ones. Virtual reality has emerged as a valuable tool in surgical training, particularly in plastic surgery training. Efforts to create and validate VR simulators are ongoing to enhance safety, teamwork, and decision-making skills in plastic surgery training.
JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY
(2021)
Editorial Material
Surgery
Daniel A. Hashimoto
Review
Urology & Nephrology
Justin W. Collins, Hani J. Marcus, Ahmed Ghazi, Ashwin Sridhar, Daniel Hashimoto, Gregory Hager, Alberto Arezzo, Pierre Jannin, Lena Maier-Hein, Keno Marz, Pietro Valdastri, Kensaku Mori, Daniel Elson, Stamatia Giannarou, Mark Slack, Luke Hares, Yanick Beaulieu, Jeff Levy, Guy Laplante, Arvind Ramadorai, Anthony Jarc, Ben Andrews, Pablo Garcia, Huzefa Neemuchwala, Alina Andrusaite, Tom Kimpe, David Hawkes, John D. Kelly, Danail Stoyanov
Summary: This study provides ethical guidance on developing narrow AI applications for surgical training by seeking consensus from an expert committee. The results show consensus in multiple areas, including data protection and privacy, reproducibility and transparency, predictive analytics, inherent biases, and areas of training most likely to benefit from AI. This provides an ethical foundation for launching narrow AI applications in surgical training.
EUROPEAN UROLOGY FOCUS
(2022)
Review
Oncology
Thomas M. Ward, Pietro Mascagni, Amin Madani, Nicolas Padoy, Silvana Perretta, Daniel A. Hashimoto
Summary: Surgical data science aims to enhance the quality and value of interventional healthcare by capturing, organizing, analyzing, and modeling procedural data. With advancements in artificial intelligence, SDS can unlock augmented and automated coaching, feedback, assessment, and decision support in surgery.
JOURNAL OF SURGICAL ONCOLOGY
(2021)
Article
Surgery
Ozanan R. Meireles, Guy Rosman, Maria S. Altieri, Lawrence Carin, Gregory Hager, Amin Madani, Nicolas Padoy, Carla M. Pugh, Patricia Sylla, Thomas M. Ward, Daniel A. Hashimoto
Summary: This study utilized a modified Delphi process to create a consensus survey on annotation of surgical video data, reaching consensus on recommendations within each domain through the collaboration of four working groups. The consensus recommendations presented a general framework for annotation, laying the foundation for standardization and enabling diverse datasets, performance benchmarks, and collaboration in surgical video analysis.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2021)
Review
Cardiac & Cardiovascular Systems
Kenneth P. Seastedt, Dana Moukheiber, Saurabh A. Mahindre, Chaitanya Thammineni, Darin T. Rosen, Ammara A. Watkins, Daniel A. Hashimoto, Chuong D. Hoang, Jacques Kpodonu, Leo A. Celi
Summary: Machine learning has great potential in thoracic surgery, but also faces challenges. The transparency of data and algorithm design, as well as the systemic bias on which models are dependent, remain issues to be addressed. Although not widely used yet in thoracic surgery, it is essential for thoracic surgeons to be at the forefront in the safe introduction of machine learning to the clinic and operating room.
EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
(2022)
Article
Computer Science, Artificial Intelligence
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno Maerz, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla Pugh, Danail Stoyanov, Swaroop S. Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor Grantcharov, Makoto Hashizume, Doreen Heckmann-Noetzel, Hannes G. Kenngott, Ron Kikinis, Lars Muendermann, Nassir Navab, Sinan Onogur, Tobias Ross, Raphael Sznitman, Russell H. Taylor, Minu D. Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel R. Leff, Amin Madani, Hani J. Marcus, Ozanan Meireles, Alexander Seitel, Dogu Teber, Frank Ueckert, Beat P. Mueller-Stich, Pierre Jannin, Stefanie Speidel
Summary: Surgical Data Science is a new research field aiming to improve interventional healthcare quality through data analysis, yet lacks translational success stories in surgery. An international workshop reviewed current practice, key achievements, infrastructure, data annotation and sharing, and data analytics standards and tools relevant to the field.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Surgery
Tyler J. Loftus, Alexander P. J. Vlaar, Andrew J. Hung, Azra Bihorac, Bradley M. Dennis, Catherine Juillard, Daniel A. Hashimoto, Haytham M. A. Kaafarani, Patrick J. Tighe, Paul C. Kuo, Shuhei Miyashita, Steven D. Wexner, Kevin E. Behrns
Summary: As opportunities for artificial intelligence to augment surgical care expand, there is both enthusiasm and concern regarding its safety and efficacy. Surgeons and surgical data scientists must understand the state-of-the-art, recognize gaps in knowledge and technology, and critically evaluate the published literature.
Article
Surgery
Mona W. Schmidt, Caelan M. Haney, Karl-Friedrich Kowalewski, Vasile V. Bintintan, Mohammed Abu Hilal, Alberto Arezzo, Marcus Bahra, Marc G. Besselink, Matthias Biebl, Luigi Boni, Michele Diana, Jan H. Egberts, Lars Fischer, Nader Francis, Daniel A. Hashimoto, Daniel Perez, Marlies Schijven, Moritz Schmelzle, Marek Soltes, Lee Swanstrom, Thilo Welsch, Beat P. Muller-Stich, Felix Nickel
Summary: This study developed a reliable assessment score for hand-sewn closure of intestinal anastomoses based on international expert consensus. The score showed excellent reliability and discriminated well between different levels of expertise, providing a promising tool for evaluating surgical skills.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Article
Surgery
Thomas M. Ward, Daniel A. Hashimoto, Yutong Ban, Guy Rosman, Ozanan R. Meireles
Summary: The study found that an AI model can accurately identify the degree of gallbladder inflammation, which has an impact on the intra-operative course. The automated assessment system can be used for optimizing the workflow in the operating room and providing targeted feedback to surgeons and residents, accelerating the acquisition of operative skills.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Article
Surgery
Douglas J. Cassidy, Taylor M. Coe, Kristen M. Jogerst, Sophia K. McKinley, Naomi M. Sell, Michael Sampson, Yoon Soo Park, Emil Petrusa, Robert N. Goldstone, Daniel A. Hashimoto, Denise W. Gee
Summary: This study evaluated the impact of virtual reality endoscopy training on live porcine endoscopy performance and compared the effectiveness of proficiency-based and repetition-based training curricula. The results showed that virtual reality training improved both upper and lower endoscopy performance and manual skills. The type of training curriculum did not significantly affect exam performance, but proficiency-based training was more time-effective and provided a structured approach to preparation.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Review
Chemistry, Analytical
Swathikan Chidambaram, Yathukulan Maheswaran, Kian Patel, Viknesh Sounderajah, Daniel A. Hashimoto, Kenneth Patrick Seastedt, Alison H. McGregor, Sheraz R. Markar, Ara Darzi
Summary: Wearable technologies are small electronic and mobile devices that can be worn on the body and have sensors to collect data, which can be processed and analyzed by artificial intelligence systems. The use of AI in sports such as basketball, baseball, and motor racing has shown improvements in athletic performance. However, there are challenges in adopting AI technologies in sports medicine.
Review
Health Care Sciences & Services
Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay A. Redan, Sergio Alfieri, Guido Costamagna, Ivo Boskoski, Nicolas Padoy, Daniel A. Hashimoto
Summary: Computer vision, the application of algorithms to analyze and interpret visual data, has become a critical technology in studying the intraoperative phase of care, supporting safer surgery, and expanding access to surgical care. However, there are currently no widely used computer vision tools for diagnostic or therapeutic applications in surgery.
NPJ DIGITAL MEDICINE
(2022)
Article
Surgery
Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto, Angela Maria Rivera, Philip H. Pucher, Allison Navarrete-Welton, Ganesh Sankaranarayanan, L. Michael Brunt, Allan Okrainec, Adnan Alseidi
Summary: This study developed and evaluated artificial intelligence models that can identify safe and dangerous zones, as well as anatomical landmarks, during laparoscopic cholecystectomy (LC). The models showed promising results in accurately identifying these areas, indicating the potential for real-time guidance in surgery to minimize adverse events.
Article
Surgery
Thomas M. Ward, Danyal M. Fer, Yutong Ban, Guy Rosman, Ozanan R. Meireles, Daniel A. Hashimoto
Summary: Annotation of surgical video is crucial for establishing ground truth in surgical data science, but it faces challenges in annotating spatial, temporal, and clinical elements as well as selecting annotators. Reviewing these challenges can provide insights into opportunities for improvement and the potential next steps towards translating surgical data science efforts into clinical research and practice.
COMPUTER ASSISTED SURGERY
(2021)
Letter
Medicine, General & Internal
Daniel A. Hashimoto, Andrea L. Axtell, Hugh G. Auchincloss
NEW ENGLAND JOURNAL OF MEDICINE
(2021)