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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. Hermans, S, Hu, Z, Ball, RL, Lin, HM, Prevedello, LM, Berger, FH et al.. RSNA 2023 Abdominal Trauma AI Challenge Review and Outcomes Analysis. Radiol Artif Intell. 2024; :e240334. doi: 10.1148/ryai.240334. PubMed PMID:39503604 .
  2. Rudie, JD, Lin, HM, Ball, RL, Jalal, S, Prevedello, LM, Nicolaou, S et al.. The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. Radiol Artif Intell. 2024;6 (6):e240101. doi: 10.1148/ryai.240101. PubMed PMID:39441109 .
  3. Hu, Z, Patel, M, Ball, RL, Lin, HM, Prevedello, LM, Naseri, M et al.. Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center. Radiol Artif Intell. 2024; :e230550. doi: 10.1148/ryai.230550. PubMed PMID:39298563 .
  4. Hummelsberger, P, Koch, TK, Rauh, S, Dorn, J, Lermer, E, Raue, M et al.. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI. 2023;2 :e47353. doi: 10.2196/47353. PubMed PMID:38875571 PubMed Central PMC11041415.
  5. Lee, GR, Flanders, AE, Richards, T, Kitamura, F, Colak, E, Lin, HM et al.. Erratum for: Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiol Artif Intell. 2024;6 (3):e249002. doi: 10.1148/ryai.249002. PubMed PMID:38656232 PubMed Central PMC11140496.
  6. Kitamura, FC, Prevedello, LM, Colak, E, Halabi, SS, Lungren, MP, Ball, RL et al.. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiol Artif Intell. 2024;6 (3):e230227. doi: 10.1148/ryai.230227. PubMed PMID:38477659 PubMed Central PMC11140499.
  7. Wilson, JR, Prevedello, LM, Witiw, CD, Flanders, AE, Colak, E. Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence. Radiol Artif Intell. 2024;6 (1):e230006. doi: 10.1148/ryai.230006. PubMed PMID:38231037 PubMed Central PMC10831522.
  8. Smith, CW, Malhotra, AK, Hammill, C, Beaton, D, Harrington, EM, He, Y et al.. Vision Transformer-based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool. Radiol Artif Intell. 2024;6 (2):e230088. doi: 10.1148/ryai.230088. PubMed PMID:38197796 PubMed Central PMC10982820.
  9. Hamghalam, M, Moreland, R, Gomez, D, Simpson, A, Lin, HM, Jandaghi, AB et al.. Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography. Can Assoc Radiol J. 2024;75 (3):534-541. doi: 10.1177/08465371231221052. PubMed PMID:38189316 .
  10. Lee, GR, Flanders, AE, Richards, T, Kitamura, F, Colak, E, Lin, HM et al.. Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiol Artif Intell. 2024;6 (1):e230256. doi: 10.1148/ryai.230256. PubMed PMID:38169426 PubMed Central PMC10831508.
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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