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Errol Colak

MD, FRCPC, HBSc

Investigator

Email: Errol.Colak@unityhealth.to
Tel: 416-864-6060 ext. 5692

Research Programs

Biography

Dr. Errol Colak is a radiologist, Project Investigator at the Li Ka Shing Knowledge Institute of St. Michael’s Hospital, and Assistant Professor in the Department of Medical Imaging, University of Toronto. His research interests include machine learning in medical imaging, genitourinary and gastrointestinal imaging, and quality improvement initiatives.

Please note: Dr. Colak is not taking any summer students.

Recent Publications

  1. Zenk, M, Baid, U, Pati, S, Linardos, A, Edwards, B, Sheller, M et al.. Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nat Commun. 2025;16 (1):6274. doi: 10.1038/s41467-025-60466-1. PubMed PMID:40628696 PubMed Central PMC12238412.
  2. Hu, Z, Lin, HM, Mathur, S, Moreland, R, Witiw, CD, Jimenez-Juan, L et al.. High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis. NPJ Digit Med. 2025;8 (1):254. doi: 10.1038/s41746-025-01594-2. PubMed PMID:40335679 PubMed Central PMC12059038.
  3. Kirpalani, A, Viel, T, Hu, Z, Lin, HM, Hermans, S, Gomez, D et al.. External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT. Abdom Radiol (NY). 2025; :. doi: 10.1007/s00261-025-04910-2. PubMed PMID:40312490 .
  4. Lee, DJ, Hamghalam, M, Wang, L, Lin, HM, Colak, E, Mamdani, M et al.. The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses. Biomed Eng Online. 2025;24 (1):49. doi: 10.1186/s12938-025-01376-7. PubMed PMID:40289097 PubMed Central PMC12036281.
  5. Chong, JJR, Kirpalani, A, Moreland, R, Colak, E. Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications. Radiol Clin North Am. 2025;63 (3):477-490. doi: 10.1016/j.rcl.2024.11.005. PubMed PMID:40221188 .
  6. Yang, HK, Rezende-Neto, JB, Brasil, VW, Colak, E. Surgery-confirmed internal hernia with or without Roux-en-Y anastomosis: diagnostic performance of six CT signs. Abdom Radiol (NY). 2025; :. doi: 10.1007/s00261-025-04927-7. PubMed PMID:40208288 .
  7. Dreizin, D, Cheng, CT, Liao, CH, Jindal, A, Colak, E. Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions. Abdom Radiol (NY). 2025; :. doi: 10.1007/s00261-025-04816-z. PubMed PMID:40116889 .
  8. Rodriguez-Takeuchi, S, Tullis, E, Babaei Jandaghi, A, Yan, AT, Colak, E, Hall, DA et al.. Association between Cystic Fibrosis and Pericardial Calcification Detected at Chest CT in Adults. Radiology. 2025;314 (2):e241793. doi: 10.1148/radiol.241793. PubMed PMID:39998371 .
  9. Chen, YA, Hu, Z, Shek, KD, Wilson, J, Alotaibi, FSS, Witiw, CD et al.. Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge. AJR Am J Roentgenol. 2025;224 (3):e2432076. doi: 10.2214/AJR.24.32076. PubMed PMID:39772578 .
  10. Latypov, TH, Wolfensohn, A, Yakubov, R, Li, J, Srisaikaew, P, Jörgens, D et al.. Signatures of chronic pain in multiple sclerosis: a machine learning approach to investigate trigeminal neuralgia. Pain. 2024;166 (7):1622-1630. doi: 10.1097/j.pain.0000000000003497. PubMed PMID:39680491 PubMed Central PMC12168821.
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Affiliations & Other Activities

  • Staff Radiologist, Department of Medical Imaging, St. Michael’s Hospital
  • Assistant Professor, Department of Medical Imaging, University of Toronto