Publications

Dr. Madani’s publications, can be found on his Google Scholar page.

In Press

  • Madani A, Hunter J, Mashouri P, Protserov, Zhang H, Masino C, Namazi B, Brudno M. Detecting Bias in Artificial Intelligence Models for Surgical Videos: Is the Model Predicting True Anatomy or Simply Following Surgical Instruments? Surgical Innovation. (Accepted – In Press)
  • Madani A, Zhang H, Mashouri P, Hunter J, Protserov S, Masino C, Laplante S, Hashimoto DA, Mascagni P, Alseidi A, Brudno M. Bringing Surgical Artificial Intelligence to End-Users: Development of a Platform for Live Intraoperative Inference. Surgical Innovation. (Accepted – In Press)
  • Madani A, Namazi B, Alseidi A, Hashimoto DA. Using Semi-Supervised Learning to Annotate Intraoperative Anatomy in Surgical Videos: Decreasing Annotator Burden for Surgical Artificial Intelligence. Surgical Innovation. (Accepted – In Press)
  • Kondo A, Watanabe Y, Madani A. Education and Training in Surgical Energy. In: The Ultimate Guide to Surgical Energy – Principles and Safe Use. 2023, World Scientific Singapore. (In Press)
  • Laplante S, Madani A. Artificial Intelligence in Surgery. In: Krittanawong C. Artificial Intelligence in Clinical Practice. 2023, Elsevier. (In Press)
  • Shafa G, Madani A. Concept and Use of Virtual Reality Simulators and Serious Gaming. In: Perretta S, Szold A, Broeders I, Kalisingh S. Technical Principles of Endoscopic Surgery. 2023, Springer (Bohn Stafleu van Loghum). (In Press)
  • Khalid MU, Laplante S, Madani A. Intraoperative Use of Machine Learning and Computer Vision for Management of Gastrointestinal Cancers. Frontiers in Medicine. (Accepted – In Press)

Published

  • Li A et al. Development of an Artificial Intelligence Tool for Intraoperative Guidance during Endovascular Abdominal Aortic Aneurysm Repair. Ann Vasc Surg. 2023. Epub 2023/11/02. doi: 10.1016/j.avsg.2023.08.027. PubMed PMID: 37914075.
  • Hameed MS et al. What is the educational value and clinical utility of artificial intelligence for intraoperative and postoperative video analysis? A survey of surgeons and trainees. Surg Endosc. 2023. Epub 2023/09/12. doi: 10.1007/s00464-023-10377-3. PubMed PMID: 37697116.
  • Khalid MU et al. Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy. Surg Endosc. 2023. Epub 2023/09/12. doi: 10.1007/s00464-023-10403-4. PubMed PMID: 37697115.
  • Shafa G et al. Training for excellence: using a multimodal videoconferencing platform to coach surgeons and improve intraoperative performance. Surg Endosc. 2023. Epub 2023/09/06. doi: 10.1007/s00464-023-10374-6. PubMed PMID: 37670189.
  • Reinke A et al. Understanding metric-related pitfalls in image analysis validation. ArXiv. 2023. Epub 2023/03/23. PubMed PMID: 36945687; PubMed Central PMCID: PMCPMC10029046.
  • Filicori F, Bitner DP, Fuchs HF, Anvari M, Sankaranaraynan G, Bloom MB, Hashimoto DA, Madani A, Mascagni P, Schlachta CM, Talamini M, Meireles OR. SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force. Surg Endosc. 2023;37(6):4321-7. Epub 2023/02/03. doi: 10.1007/s00464-022-09825-3. PubMed PMID: 36729231.
  • Laplante S, Namazi B, Kiani P, Hashimoto DA, Alseidi A, Pasten M, Brunt LM, Gill S, Davis B, Bloom M, Pernar L, Okrainec A, Madani A. Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy. Surg Endosc. 2022. Epub 2022/08/03. doi: 10.1007/s00464-022-09439-9. PubMed PMID: 35918549. https://www.ncbi.nlm.nih.gov/pubmed/35918549
  • Mascagni P, Alapatt D, Sestini L, Altieri MS, Madani A, Watanabe Y, Alseidi A, Redan JA, Alfieri S, Costamagna G, Boškoski I, Padoy N, Hashimoto DA. Computer vision in surgery: from potential to clinical value. Nature-Digital Medicine. 2022;5(1):163. doi: 10.1038/s41746-022-00707-5. https://doi.org/10.1038/s41746-022-00707-5
  • Kitaguchi D, Watanabe Y, Madani A, Hashimoto DA, Meireles OR, Takeshita N, Mori K, Ito M, Computer Vision in Surgery International C. Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines. Ann Surg. 2022;275(4):e609-e11. Epub 2022/02/08. doi: 10.1097/SLA.0000000000005319. PubMed PMID: 35129482. https://www.ncbi.nlm.nih.gov/pubmed/35129482
  • Shafa G et al. Perceptions of the multidisciplinary operative team on intraoperative telecoaching among surgeons. Surg Open Sci. 2022;10:145-7. Epub 2022/10/05. doi: 10.1016/j.sopen.2022.09.003. PubMed PMID: 36193260; PubMed Central PMCID: PMCPMC9526219. https://www.ncbi.nlm.nih.gov/pubmed/36193260
  • Weis J, Brunt LM, Madani A, Telem D, Nagaraj M, Asbun H, Davis BR, Dissanaike S, Ujiki MB, Westcott CJ, Alseidi A, Force SSCT. SAGES safe cholecystectomy modules improve practicing surgeons’ judgment: results of a randomized, controlled trial. Surg Endosc. 2022. Epub 2022/08/26. doi: 10.1007/s00464-022-09503-4. PubMed PMID: 36006521. https://www.ncbi.nlm.nih.gov/pubmed/36006521
  • Madani A, Feldman LS. Artificial Intelligence for Augmenting Perioperative Surgical Decision-Making-Are We There Yet? JAMA Surg. 2021;156(10):941. Epub 2021/07/08. doi: 10.1001/jamasurg.2021.3050. PubMed PMID: 34232282. (Invited Commentary) https://www.ncbi.nlm.nih.gov/pubmed/34232282
  • Ward TM, Mascagni P, Madani A, Padoy N, Perretta S, Hashimoto DA. Surgical data science and artificial intelligence for surgical education. J Surg Oncol. 2021;124(2):221-30. Epub 2021/07/11. doi: 10.1002/jso.26496. PubMed PMID: 34245578. https://www.ncbi.nlm.nih.gov/pubmed/34245578
  • Madani A, Hirpara DH, Chadi SA, Dhar P, Okrainec A. Leveraging Videoconferencing Technology to Augment Surgical Training During a Pandemic. Annals of Surgery Open. 2021;2(2):e035.
  • Hashimoto DA, Madani A, Navarrete-Welton A, Rosman G. Computer Vision in Surgery: Fundamental Principles and Applications. In: Hashimoto DA, Rosman G, Meireles OR. Artificial intelligence in surgery : understanding the role of AI in surgical practice. New York: McGraw-Hill; 2021. xxi, 409 pages p.
  • Hashimoto DA, Madani A, Navarrete-Welton A, Rosman G. Computer Vision in Surgery: Fundamental Principles and Applications. In: Hashimoto DA, Rosman G, Meireles OR. Artificial Intelligence in Surgery. 2021, McGraw-Hill Education.
  • Madani A, Mueller CL, Fried GM. Emerging Technology in Surgery: Informatics and Electronics. In: Townsend Jr CM, Beauchamp RD, Evers BM, Mattox KL (eds). Sabiston Textbook of Surgery. 2021, 21st Edition, Elsevier Canada.
  • Meireles OR, Rosman G, Altieri MS, Carin L, Hager G, Madani A, Padoy N, Pugh CM, Sylla P, Ward TM, Hashimoto DA, Groups SVAfAW. SAGES consensus recommendations on an annotation framework for surgical video. Surg Endosc. 2021;35(9):4918-29. Epub 2021/07/08. doi: 10.1007/s00464-021-08578-9. PubMed PMID: 34231065. https://www.ncbi.nlm.nih.gov/pubmed/34231065
  • Madani A, Namazi B, Altieri MS, Hashimoto DA, Rivera AM, Pucher PH, Navarrete-Welton A, Sankaranarayanan G, Brunt LM, Okrainec A, Alseidi A. Artificial Intelligence for Intraoperative Guidance: Using Semantic Segmentation to Identify Surgical Anatomy During Laparoscopic Cholecystectomy. Ann Surg. 2022;276(2):363-9. Epub 2020/11/17. doi: 10.1097/SLA.0000000000004594. PubMed PMID: 33196488; PubMed Central PMCID: PMCPMC8186165. https://www.ncbi.nlm.nih.gov/pubmed/33196488
  • Altieri MS, Carmichael H, Jones E, Robinson T, Pryor A, Madani A. Educational value of telementoring for a simulation-based fundamental use of surgical energy (FUSE) curriculum: a randomized controlled trial in surgical trainees. Surg Endosc. 2020;34(8):3650-5. Epub 2020/05/06. doi: 10.1007/s00464-020-07609-1. PubMed PMID: 32367446. https://www.ncbi.nlm.nih.gov/pubmed/32367446
  • Madani A, Grover K, Kuo JH, Mitmaker EJ, Shen W, Beninato T, Livhits M, Smith PW, Miller BS, Sippel RS, Duh QY, Lee JA. Defining the competencies for laparoscopic transabdominal adrenalectomy: An investigation of intraoperative behaviors and decisions of experts. Surgery. 2020;167(1):241-9. Epub 2019/10/28. doi: 10.1016/j.surg.2019.03.035. PubMed PMID: 31653489. https://www.ncbi.nlm.nih.gov/pubmed/31653489
  • Madani A, Grover K, Watanabe Y. Measuring and Teaching Intraoperative Decision-making Using the Visual Concordance Test: Deliberate Practice of Advanced Cognitive Skills. JAMA Surg. 2020;155(1):78-9. Epub 2019/11/14. doi: 10.1001/jamasurg.2019.4415. PubMed PMID: 31721993. https://www.ncbi.nlm.nih.gov/pubmed/31721993
  • Madani A, Keller DS. Assessing and improving intraoperative judgement. Br J Surg. 2019;106(13):1723-5. Epub 2019/11/21. doi: 10.1002/bjs.11386. PubMed PMID: 31747070. https://www.ncbi.nlm.nih.gov/pubmed/31747070
  • Huynh C, Wong-Chong N, Vourtzoumis P, Lim S, Marini W, Johal G, Strickland M, Madani A, Canadian Association of General Surgeons Resident C. The future of general surgery training: A Canadian resident nationwide Delphi consensus statement. Surgery. 2019;166(5):726-34. Epub 2019/07/10. doi: 10.1016/j.surg.2019.04.025. PubMed PMID: 31280867. https://www.ncbi.nlm.nih.gov/pubmed/31280867
  • Madani A, Gornitsky J, Watanabe Y, Benay C, Altieri MS, Pucher PH, Tabah R, Mitmaker EJ. Measuring Decision-Making During Thyroidectomy: Validity Evidence for a Web-Based Assessment Tool. World J Surg. 2018;42(2):376-83. Epub 2017/11/08. doi: 10.1007/s00268-017-4322-y. PubMed PMID: 29110159. https://www.ncbi.nlm.nih.gov/pubmed/29110159
  • Madani A, Watanabe Y, Bilgic E, Pucher PH, Vassiliou MC, Aggarwal R, Fried GM, Mitmaker EJ, Feldman LS. Measuring intra-operative decision-making during laparoscopic cholecystectomy: validity evidence for a novel interactive Web-based assessment tool. Surg Endosc. 2017;31(3):1203-12. Epub 2016/07/15. doi: 10.1007/s00464-016-5091-7. PubMed PMID: 27412125. https://www.ncbi.nlm.nih.gov/pubmed/27412125
  • Madani A, Gips A, Razek T, Deckelbaum DL, Mulder DS, Grushka JR. Defining and Measuring Decision-Making for the Management of Trauma Patients. J Surg Educ. 2018;75(2):358-69. Epub 2017/08/02. doi: 10.1016/j.jsurg.2017.07.012. PubMed PMID: 28756147. https://www.ncbi.nlm.nih.gov/pubmed/28756147
  • Madani A, Vassiliou MC, Watanabe Y, Al-Halabi B, Al-Rowais MS, Deckelbaum DL, Fried GM, Feldman LS. What Are the Principles That Guide Behaviors in the Operating Room?: Creating a Framework to Define and Measure Performance. Ann Surg. 2017;265(2):255-67. Epub 2016/09/10. doi: 10.1097/SLA.0000000000001962. PubMed PMID: 27611618. (Feature Article) https://www.ncbi.nlm.nih.gov/pubmed/27611618
  • Maertens H, Madani A, Landry T, Vermassen F, Van Herzeele I, Aggarwal R. Systematic review of e-learning for surgical training. Br J Surg. 2016;103(11):1428-37. Epub 2016/08/19. doi: 10.1002/bjs.10236. PubMed PMID: 27537708. (Co-Primary Author) https://www.ncbi.nlm.nih.gov/pubmed/27537708
  • Madani A, Watanabe Y, Feldman LS, Vassiliou MC, Barkun JS, Fried GM, Aggarwal R. Expert Intraoperative Judgment and Decision-Making: Defining the Cognitive Competencies for Safe Laparoscopic Cholecystectomy. J Am Coll Surg. 2015;221(5):931-40 e8. Epub 2015/08/22. doi: 10.1016/j.jamcollsurg.2015.07.450. PubMed PMID: 26292647. https://www.ncbi.nlm.nih.gov/pubmed/26292647
  • Madani A, Watanabe Y, Vassiliou M, Feldman LS, Duh QY, Singer MC, Ruan DT, Tabah R, Mitmaker E. Defining competencies for safe thyroidectomy: An international Delphi consensus. Surgery. 2016;159(1):86-94, 6-101. Epub 2015/10/06. doi: 10.1016/j.surg.2015.07.039. PubMed PMID: 26435445. https://www.ncbi.nlm.nih.gov/pubmed/26435445
  • Madani A, Hashimoto DA, Alseidi A, Altieri M. Machines for Surgical Education? A Review of Applications of Artificial Intelligence for Training and Assessment. Resources in Surgical Education. Online Access: https://www.facs.org/education/division-of-education/publications/rise/articles/deep-learning
  • Maier-Hein L, Reinke A, Christodoulou E, Glocker B, Godau P, Isensee F, Kleesiek J, Kozubek M, Reyes M, Riegler MA, Wiesenfarth M, Baumgartner M, Eisenmann M, Heckmann-Notzel D, Kavur AE, Radsch T, Tizabi MD, Acion L, Antonelli M, Arbel T, Bakas S, Bankhead P, Benis A, Cardoso MJ, Cheplygina V, Cimini B, Collins GS, Farahani K, Ginneken BV, Glocker B, Godau P, Hamprecht F, Hashimoto DA, Heckmann-Notzel D, Hoffman MM, Huisman M, ISensee F, Jannin P, Khan CE, Karargyris A, Karthikesalingam A, Kainz B, Kavur E, Kenngott H, Kleesiek J, Kooi T, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, et al. Metrics Reloaded: Pitfalls and Recommendations for Image Analysis Validation. arXiv preprint arXiv:2206.01653 (2022) https://arxiv.org/abs/2206.01653
  • Reinke A, Tizabi MD, Sudre CH, Eisenmann M, Rädsch T, Baumgartner M, Acion L, Antonelli M, Arbel T, Bakas S, Bankhead P, Benis A, Cardoso MJ, Cheplygina V, Christodoulou E, Cimini B, Collins GS, Farahani K, Ginneken BV, Glocker B, Godau P, Hamprecht F, Hashimoto DA, Heckmann-Notzel D, Hoffman MM, Huisman M, ISensee F, Jannin P, Khan CE, Karargyris A, Karthikesalingam A, Kainz B, Kavur E, Kenngott H, Kleesiek J, Kooi T, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, et al. Common Limitations of Image Processing Metrics: A Picture Story. arXiv preprint arXiv:2104.05642 (2021) https://arxiv.org/abs/2104.05642

Oral Research Presentations at Professional Meetings

  • “Bringing Surgical Artificial Intelligence to End-Users: Development of a Platform for Live Intraoperative Inference”, Medical Image Computing and Computer Assisted Intervention Society, Singapore, September 2022.
  • “Detecting Bias in Artificial Intelligence Models for Surgical Videos: Is the Model Predicting True Anatomy or Simply Following Surgical Instruments?”, Medical Image Computing and Computer Assisted Intervention Society, Singapore, September 2022.
  • “Validation of an Artificial Intelligence Platform for the Guidance of Safe Laparoscopic Cholecystectomy”, Society of American Gastrointestinal and Endoscopic Surgeons, Denver, CO, March, 2022.
  • “Using Semi-Supervised Learning to Annotate Intraoperative Anatomy in Surgical Videos: Decreasing Annotator Burden for Surgical Artificial Intelligence”, Medical Image Computing and Computer Assisted Intervention Society, Virtual Meeting, September 2021.
  • “Retroperitoneoscopic Approach to Adrenalectomy”, Canadian Surgery Forum, Virtual Meeting, September 2021.
  • “Understanding How Experts Do It: A Conceptual Framework for the Open Transversus Abdominis Release Procedure”, American Hernia Society, Virtual Meeting, September 2020.
  • “Using Artificial Intelligence to Identify Surgical Anatomy, Safe Zones of Dissection, and Dangerous Zones of Dissection during Laparoscopic Cholecystectomy”, American College of Surgeons Clinical Congress, Virtual Meeting, October 2020.
  • “AI for Automated Detection of the Establishment of Critical View of Safety in Laparoscopic Cholecystectomy Videos”, American College of Surgeons Clinical Congress, Virtual Meeting, October 2020.
  • “Educational Value of Telementoring for a Simulation-Based Fundamental Use of Surgical Energy (FUSE) Curriculum: A Randomized-Controlled Trial in Surgical Trainees”, Society of American Gastrointestinal and Endoscopic Surgeons, Cleveland, OH, August 2020.
  • “Using Mobile Devices for Intra-Operative Performance Assessment”, Society of Asian Academic Surgeons, Boston, MA, September 2019.
  • “Defining the Competencies for Laparoscopic Transabdominal Adrenalectomy: An Investigation of Intra-Operative Behaviors and Decisions of Experts”, American Association of Endocrine Surgeons, Los Angeles, CA, April 2019. (Top Oral Presentation)
  • “Residents’ Opinion on the Future of General Surgery Training: A Canadian Nationwide Delphi Consensus Statement”, Academic Surgical Congress, Houston, TX, February 2019.