Bối cảnh của nội soi tiêu hóa tiếp tục phát triển khi các công nghệ và kỹ thuật mới ra đời. Sự ra đời của máy nội soi phóng đại và nâng cao hình ảnh đã đánh dấu bước hoàn thiện trong việc tầm soát và chẩn đoán tổn thương để đưa ra phát đồ điều trị sớm. Đặc biệt với sự phát triển của mạng nơ-ron phức hợp, trí tuệ nhân tạo (AI) đã tạo ra những bước đột phá chưa từng có trong hình ảnh y tế đã hỗ trợ nhiều trong việc điều trị và chuẩn đoán chính xác.

Để hiểu rõ hơn Cục Thông tin KH&CN quốc gia xin giới thiệu một số bài nghiên cứu đã được xuất bản chính thức và các bài viết được chấp nhận đăng trên những cơ sở dữ liệu học thuật chính thống.

1. IEEE

1. Advancement of Flexible Robot Technologies for Endoluminal Surgeries
Joonhwan Kim; Michel de Mathelin; Koji Ikuta; Dong-Soo Kwon
Proceedings of the IEEE
Year: 2022 | Volume: 110, Issue: 7 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9779312

2. Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review
Øystein Bjelland; Bismi Rasheed; Hans Georg Schaathun; Morten D. Pedersen; Martin Steinert; Alf Inge Hellevik; Robin T. Bye
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9762655

3. Hybrid 6-DoF Magnetic Localization for Robotic Capsule Endoscopes Compatible With High-Grade Magnetic Field Navigation
Federico Bianchi; Antonino Masaracchia; Angelo Damone; Erfan Shojaei Barjuei; Calogero Maria Oddo; Paolo Dario; Gastone Ciuti
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9656131

4. A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images Based Fusion Single Shot Multibox Detector and Transfer Learning
Meryem Souaidi; Mohamed El Ansari
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9765501

5. Stiffness Assessment and Lump Detection in Minimally Invasive Surgery Using In-House Developed Smart Laparoscopic Forceps
Wael Othman;Kojo E. Vandyck;Carlos Abril;Juan S. Barajas-Gamboa;Juan P. Pantoja;Matthew Kroh;Mohammad A. Qasaimeh
IEEE Journal of Translational Engineering in Health and Medicine
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9791427

6. Triple-Element Back-to-Back Transducer With 3D Printed Housing for Intravascular Ultrasound Imaging: A Feasibility Study
Hee Su Lee; Jong Seob Jeong
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9684885

7. Endoscopic Ultrasound Image Recognition Based on Data Mining and Deep Learning
Yufei Xie; Yu Cai; Yang Yu; Sen Wang; Wenlin Wang; Shasha Song
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9682712

8. Robotic Autonomy for Magnetic Endoscope Biopsy
James W. Martin; Lavinia Barducci; Bruno Scaglioni; Joseph C. Norton; Conchubhair Winters; Venkataraman Subramanian; Alberto Arezzo; Keith L. Obstein; Pietro Valdastri
IEEE Transactions on Medical Robotics and Bionics
Year: 2022 | Early Access Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9810843

9. Label Augmentation to Improve Generalization of Deep Learning Semantic Segmentation of Laparoscopic Images
Leticia Monasterio-Exposito; Daniel Pizarro; Javier Macias-Guarasa
IEEE Access
Year: 2022 | Volume: 10 | Journal Article | Publisher: IEEE
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9743467

2. Springer

1. Deep learning for gastroscopic images: computer-aided techniques for clinicians
Ziyi Jin, Tianyuan Gan, Peng Wang, Zuoming Fu… in BioMedical Engineering OnLine (2022)
https://link.springer.com/content/pdf/10.1186%2Fs12938-022-00979-8.pdf

2. Deep learning model can improve the diagnosis rate of endoscopic chronic atrophic gastritis: a prospective cohort study
Quchuan Zhao, Tianyu Chi in BMC Gastroenterology (2022)
https://link.springer.com/content/pdf/10.1186%2Fs12876-022-02212-1.pdf
3. Artificial intelligence for diagnosing gastric lesions under white-light endoscopy
Xiang-Lei Yuan, Yao Zhou, Wei Liu, Qi Luo, Xian-Hui Zeng, Zhang Yi… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-022-09420-6.pdf

4. Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case–control study
Quchuan Zhao, Qing Jia, Tianyu Chi in BMC Gastroenterology (2022)
https://link.springer.com/content/pdf/10.1186%2Fs12876-022-02427-2.pdf

5. Unsedated Transnasal Endoscopy: A Safe, Well-Tolerated and Accurate Alternative to Standard Diagnostic Peroral Endoscopy
Rebecca K. Grant, William M. Brindle… in Digestive Diseases and Sciences (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10620-022-07432-9.pdf

6. Objective Outcomes of an Extended Anti-reflux Mucosectomy in the Treatment of PPI-Dependent Gastroesophageal Reflux Disease (with Video)
Jian He, Yani Yin, Wen Tang, Jiahui Jiang, Lei Gu… in Journal of Gastrointestinal Surgery (2022)
https://link.springer.com/content/pdf/10.1007%2Fs11605-022-05396-9.pdf

7. Identification of gastric cancer with convolutional neural networks: a systematic review
Yuxue Zhao, Bo Hu, Ying Wang, Xiaomeng Yin… in Multimedia Tools and Applications (2022)
https://link.springer.com/content/pdf/10.1007%2Fs11042-022-12258-8.pdf

8. Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis
Kaiwen Qin, Jianmin Li, Yuxin Fang, Yuyuan Xu, Jiahao Wu… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-021-08689-3.pdf

9. Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images
Keiko Hirai, Takamichi Kuwahara, Kazuhiro Furukawa, Naomi Kakushima… in Gastric Cancer (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10120-021-01261-x.pdf

10. Consensus priority research questions in gastrointestinal and endoscopic surgery in the year 2020: results of a SAGES Delphi study
Richard Garfinkle, Rebecca P. Petersen, Chris DuCoin… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-021-08941-w.pdf

11. Prediction of pouchitis after ileal pouch–anal anastomosis in patients with ulcerative colitis using artificial intelligence and deep learning
S. Mizuno, K. Okabayashi, A. Ikebata, S. Matsui… in Techniques in Coloproctology (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10151-022-02602-3.pdf

12. Deep learning-based endoscopic anatomy classification: an accelerated approach for data preparation and model validation
Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Chih-Da Yao… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-021-08698-2.pdf

13. Artificial Intelligence-Based Assessment of Colorectal Polyp Histology by Elastic-Scattering Spectroscopy
Eladio Rodriguez-Diaz, Lisa I. Jepeal, György Baffy… in Digestive Diseases and Sciences (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10620-021-06901-x.pdf

14. Magnetic resonance angiographic study of variations in course of paraclival and parasellar internal carotid artery in relation to expanded endonasal endoscopic approaches
Narayan Jayashankar, Hruchali Patangrao in European Archives of Oto-Rhino-Laryngology (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00405-021-07123-7.pdf

15. Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens
Zhongyue Shi, Chuang Zhu, Yu Zhang, Yakun Wang, Weihua Hou, Xue Li… in Gastric Cancer (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10120-022-01294-w.pdf

16. Advances in Endoscopic Techniques and Technology: Old Problems, New Frontiers
Phillip S. Ge, Linda S. Lee in Digestive Diseases and Sciences (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10620-022-07435-6.pdf

17. Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy
Ken’ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, Hiroaki Nakanuma… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-022-09160-7.pdf

18. Preoperative Laxity of the Gastroesophageal Junction and Standardization of Endoscopic Esophagitis Diagnosis in Predicting Gastroesophageal Reflux Disease (GERD) after Laparoscopic Sleeve Gastrectomy
Koy Min Chue, Lester Wei Lin Ong, Bin Chet Toh, Jeremy Tian Hui Tan… in Obesity Surgery (2022)
https://link.springer.com/content/pdf/10.1007%2Fs11695-022-06162-1.pdf

19. The expanding role of endoscopic ultrasound elastography
Jahnvi Dhar, Jayanta Samanta in Clinical Journal of Gastroenterology (2022)
https://link.springer.com/content/pdf/10.1007%2Fs12328-022-01662-0.pdf

20. Endoscopic measurement of nasal septum perforations
Jean-Claude Rosenthal Dipl.-Inf., Eric L. Wisotzky, Carsten Matuschek, Melanie Hobl… in HNO (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00106-021-01102-4.pdf

21. Computer-aided diagnosis of serrated colorectal lesions using non-magnified white-light endoscopic images
Daiki Nemoto, Zhe Guo, Boyuan Peng… in International Journal of Colorectal Disease (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00384-022-04210-x.pdf
22. A prospective multicenter study of the magnifying endoscopic evaluation of the invasion depth of superficial esophageal cancers
Tatsuhiro Gotoda, Keisuke Hori, Masahiro Nakagawa, Sayo Kobayashi… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-021-08666-w.pdf
23. Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy
Seong Ji Choi, Mohammad Azam Khan, Hyuk Soon Choi, Jaegul Choo… in Surgical Endoscopy (2022)
https://link.springer.com/content/pdf/10.1007%2Fs00464-020-08236-6.pdf
24. Comprehensive risk evaluation for metachronous carcinogenesis after endoscopic submucosal dissection of superficial pharyngeal squamous cell carcinoma
Nobuhiko Ogasawara, Daisuke Kikuchi, Masami Tanaka, Yorinari Ochiai… in Esophagus (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10388-022-00907-8.pdf
25. Artificial Intelligence in Endoscopy
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada… in Digestive Diseases and Sciences (2022)
https://link.springer.com/content/pdf/10.1007%2Fs10620-021-07086-z.pdf

3. Sciencedirect
1. Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison
Gastrointestinal Endoscopy 4 September 2021 Volume 95, Issue 2 (Cover date: February 2022) Pages 258-268.e10
Joon Yeul Nam, Hyung Jin Chung, Jeong-Hoon Lee
https://www.sciencedirect.com/science/article/pii/S0016510721016138/pdfft?md5=618454dfd3dc5094f9411e5c17cea255&pid=1-s2.0-S0016510721016138-main.pdf
2. Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)
Gastrointestinal Endoscopy 20 September 2021 Volume 95, Issue 2 (Cover date: February 2022) Pages 269-280.e6
Lianlian Wu, Ming Xu, Honggang Yu
https://www.sciencedirect.com/science/article/pii/S0016510721016485/pdfft?md5=6f6ecb0965e85d0cd36fed370701730c&pid=1-s2.0-S0016510721016485-main.pdf

4. Identification of Upper Gastrointestinal Diseases during Screening Gastroscopy through Deep Convolutional Neural Network Algorithm
Gastrointestinal Endoscopy Available online 16 June 2022 In press, journal pre-proof
Hang Yang, Yu Wu, Fanxin Zeng
https://www.sciencedirect.com/science/article/pii/S001651072201762X/pdfft?md5=7fff07b35003b6ab837f85963b03bcbb&pid=1-s2.0-S001651072201762X-main.pdf

5. Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images
Auris Nasus Larynx 4 April 2021 Volume 49, Issue 1 (Cover date: February 2022) Pages 11-17
Toru Miwa, Ryosei Minoda, Koichi Omori
https://www.sciencedirect.com/science/article/pii/S0385814621000948/pdfft?md5=3d5204b5f01181e4cb327e5938eee6e6&pid=1-s2.0-S0385814621000948-main.pdf

7. A novel system applying artificial intelligence in the identification of air leak sites
JTCVS Techniques Available online 27 June 2022 In press, corrected proof
Yuka Kadomatsu, Megumi Nakao, Toyofumi Fengshi Chen-Yoshikawa
https://www.sciencedirect.com/science/article/pii/S2666250722003650/pdfft?md5=1bb4a2a6bce4ac0d8a16dabfdc014773&pid=1-s2.0-S2666250722003650-main.pdf
8. Deep unsupervised endoscopic image enhancement based on multi-image fusion
Computer Methods and Programs in Biomedicine 26 April 2022 Volume 221 (Cover date: June 2022) Article 106800
Dongjin Huang, Jinhua Liu, Wen Tang
https://www.sciencedirect.com/science/article/pii/S0169260722001742/pdfft?md5=d252d6093e3825b06a4cf94d2fda15b8&pid=1-s2.0-S0169260722001742-main.pdf

Các công bố về Trí tuệ nhân tạo trước thời gian trên:

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 1/7 đến ngày 8/7/2022

https://www.vista.gov.vn/news/khoa-hoc-doi-song/ung-dung-tri-tue-nhan-tao- trong-y-hoc-cap-nhat-den-ngay-8-7-2022-5212.html

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 9/7 đến ngày 15/7/2022

https://vista.gov.vn/news/khoa-hoc-doi-song/ung-dung-tri-tue-nhan-tao-trong-  nganh-giao-duc-cap-nhat-tu-2-7-ngay-den-ngay-15-7-2022-5239.html

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 16/7 đến ngày 22/7/2022

https://vista.gov.vn/news/khoa-hoc-doi-song/tri-tue-nhan-tao-ung-dung-trong-san-xuat-cap-nhat-tu-16-7-ngay-den-ngay-22-7-2022-5262.html

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 23/7 đến ngày 29/7/2022

https://vista.gov.vn/news/khoa-hoc-doi-song/tri-tue-nhan-tao-co-the-phat-hien-ung-thu-som-cap-nhat-tu-23-7-ngay-den-ngay-29-7-2022-5296.html

Cục Thông tin khoa học và công nghệ quốc gia, 5/8/2022