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Tyler Richards
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Tyler Richards, MD

Languages spoken: English

Clinical Locations

Primary Location

University of Utah Hospital

Radiology
50 N Medical Dr
Salt Lake City , UT 84132

Specialties

Board Certification

American Board of Radiology (Neuroradiology)
American Board of Radiology (Diagnostic Radiology)

Board Certification and Academic Information

Academic Departments Radiology & Imaging Sciences -Assistant Professor
Board Certification
American Board of Radiology (Neuroradiology)
American Board of Radiology (Diagnostic Radiology)

Education history

Undergraduate Biochemistry; Neuroscience Minor - Miami University B.S.
Professional Medical Medicine - University of Cincinnati College of Medicine M.D.
Internship University of Pittsburgh Medical Center Mercy Transitional Internship
Residency Radiology - University Hospitals Cleveland Medical Center Resident
Residency Radiology - University Hospitals Cleveland Medical Center Chief Resident
Fellowship Neuroradiology - University of Utah School of Medicine Fellow
Fellowship Spine - University of Utah School of Medicine Mini-Fellowship

Selected Publications

Journal Article

  1. Greiner MV, Richards TJ, Care MM, Leach JL (2013). Prevalence of subdural collections in children with macrocrania. AJNR Am J Neuroradiol, 34(12), 2373-8.
  2. Dodson C, Richards TJ, Smith DA, Ramaiya NH (2020). Tyrosine Kinase Inhibitor Therapy for Brain Metastases in Non-Small-Cell Lung Cancer: A Primer for Radiologists. AJNR Am J Neuroradiol, 41(5), 738-750.
  3. Dodson C, Smith DA, Richards TJ, Devita RR, Hoimes CJ, Ramaiya NH (2020). Systemic Therapies for Melanoma Brain Metastases: A Primer for Radiologists. J Comput Assist Tomogr, 44(3), 346-355.
  4. Natu A, Stevens T, Kang L, Yasinow S, Mansoor E, Lopez R, Glessing B, Remer E, Richards T, Gupta A, Chak A, Lee PJW (2017). Visceral Adiposity Predicts Severity of Acute Pancreatitis. Pancreas, 46(6), 776-781.
  5. Richards TJ, Anderson KL, Anderson J (2021). "Fully automated segmentation of the corticospinal tract using the TractSeg algorithm in patients with brain tumors". Clinical neurology and neurosurgery, 210, 107001.
  6. Richards TJ, Schmitt JE, Wolansky LJ, Nayate A (2021). Radiology Performed Fluoroscopy-Guided Lumbar Punctures Decrease Volume of Diagnostic Study Interpretation - Impact on Resident Training and Potential Solutions. Journal of clinical imaging science, 11, 39.
  7. Roberts J, Kim SE, Kholmovski EG, Hitchcock Y, Richards TJ, Anzai (2023). The arterial input function: Spatial dependence within the imaging volume and its influence on 3D quantitative dynamic contrast-enhanced MRI for head and neck cancer. Magnetic resonance imaging, 101, 40-46.
  8. Richards TJ, Durieux JC, Nayate A (2022). How Are We Handling Fluoroscopy-Guided Lumbar Puncture Requests? A Nationwide Survey of Practice Trends. AJNR. American journal of neuroradiology, 43(12), 1827-1833.
  9. Lee GR,Flanders AE,Richards T,Kitamura F,Colak E,Lin HM,Ball RL,Talbott J,Prevedello L (2024). Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge. Radiology. Artificial intelligence, 6(1),
  10. Hoshina Y,Wright MA,Warner JEA,Richards T,Salzman KL,Pulst SM,Spoth E,Clardy S (2023). Pearls & Oy-sters: ATX-FGF14 Mimicking Autoimmune Pathology. Neurology, 101(14), E1478-E1482.
  11. Lin HM,Colak E,Richards T,Kitamura FC,Prevedello LM,Talbott J,Ball RL,Gumeler E,Yeom KW,Hamghalam M,Simpson AL,Strika J,Bulja D,Angkurawaranon S,Pérez-Lara A,Gómez-Alonso MI,Jiménez JO,Peoples JJ,Law M,Dogan H,Altinmakas E,Youssef A,Mahfouz Y,Kalpathy-Cramer J,Flanders A (2023). The RSNA Cervical Spine Fracture CT Dataset. Radiology. Artificial intelligence, 5(5),
  12. Findlay MC,Yost S,Bauer SZ,Cole KL,Henson JC,Lucke-Wold B,Mehkri Y,Abou-Al-Shaar H,Plute T,Friedman L,Richards T,Wiggins R,Karsy (2023). Application of Radiomics to the Differential Diagnosis of Temporal Bone Skull Base Lesions: A Pilot Study. World neurosurgery, 172, e540-e554.
  13. Crabb BT,Hamrick F,Richards T,Eiswirth P,Noo F,Hsiao A,Fine G (2023). Deep Learning Subtraction Angiography: Improved Generalizability with Transfer Learning. Journal of vascular and interventional radiology, 34(3), 409-419.e2.
  14. Kitamura FC, Prevedello LM, Colak E, Halabi SS, Lungren MP, Ball RL, Kalpathy-Cramer J, Kahn CE Jr, Richards T, Talbott JF, Shih G, Lin HM, Andriole KP, Vazirabad M, Erickson BJ, Flanders AE, Mongan (2024). Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence, 6(3), e230227.
  15. Rudie JD, Lin HM, Ball RL, Jalal S, Prevedello LM, Nicolaou S, Marinelli BS, Flanders AE, Magudia K, Shih G, Davis MA, Mongan J, Chang PD, Berger FH, Hermans S, Law M, Richards T, Grunz JP, Kunz AS, Mathur S, Galea-Soler S, Chung AD, Afat S, Kuo CC, Aweidah L, Villanueva Campos A, Somasundaram A, Sanchez Tijmes FA, Jantarangkoon A, Kayat Bittencourt L, Brassil M, El Hajjami A, Dogan H, Becircic M, Bharatkumar AG, Júdice de Mattos Farina EM, Colak E, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Grou (2024). The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. Radiology. Artificial intelligence, 6(6), e240101.
  16. Hu Z, Patel M, Ball RL, Lin HM, Prevedello LM, Naseri M, Mathur S, Moreland R, Wilson J, Witiw C, Yeom KW, Ha Q, Hanley D, Seferbekov S, Chen H, Singer P, Henkel C, Pfeiffer P, Pan I, Sheoran H, Li W, Flanders AE, Kitamura FC, Richards T, Talbott J, Sejdi¿ E, Colak (2024). Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center. Radiology. Artificial intelligence, 6(6), e230550.
  17. Lin HM, Colak E, Richards T, Kitamura FC, Prevedello LM, Talbott J, Ball RL, Gumeler E, Yeom KW, Hamghalam M, Simpson AL, Strika J, Bulja D, Angkurawaranon S, Pérez-Lara A, Gómez-Alonso MI, Ortiz Jiménez J, Peoples JJ, Law M, Dogan H, Altinmakas E, Youssef A, Mahfouz Y, Kalpathy-Cramer J, Flanders AE, RSNA-ASSR-ASNR Annotators and the Dataset Curation Contributor (2023). The RSNA Cervical Spine Fracture CT Dataset. Radiology. Artificial intelligence, 5(5), e230034.

Book Chapter

  1. Richards T,Anderson J,Reed M,Poelstra R,Satter M,Kardan (2019). Advanced [11C]methionine and [18F]FDG positron emission tomography for diagnosis, treatment, and follow-up of oligodendrogliomas. Oligodendroglioma: Clinical Presentation, Pathology, Molecular Biology, Imaging, and Treatment, 157-171.