Laurent Dercle, MD, PhD

  • Associate Research Scientist in the Department of Radiology
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Laurent Dercle, MD, PhD, is an associate research scientist in the Department of Radiology at Columbia University Irving Medical Center. He is a physician-scientist with knowledge and proficiency in radiology, nuclear medicine, oncology, engineering, and artificial intelligence, dedicated to improving patient care and outcomes through innovative approaches.

Dr. Dercle earned his medical degree at Paris University. He obtained board certification in nuclear medicine after completing a residency at Toulouse University Hospital. He specialized in cancer imaging as an assistant attending at Gustave Roussy Cancer Campus Grand Paris and is currently completing a radiology residency at NewYork-Presbyterian/Columbia University Irving Medical Center.

Dr. Dercle’s extensive research is focused on applying artificial intelligence to improve the clinical care of patients diagnosed with cancer.  His work has been published in renowned scientific journals, including JAMA Oncology, The Lancet Oncology, Radiology, European Radiology, JNM, and EJNMMI. Dr. Dercle's international lectures, numerous awards, grants, and editorial roles in scientific journals reflect his significant contributions to the field.

His training and practice at Gustave Roussy, Europe's leading cancer center, profoundly influenced his perspective on cancer clinical care, fueling his dedication to advancing AI-guided precision medicine approaches to enhance drug development and improve clinical care in oncology. Dr. Dercle obtained a Master of Science Level I in innovative biology, advanced training in molecular oncology, and a Ph.D. in oncology from this esteemed institution.

Dr. Dercle aims to contribute to the acceleration of deployment of new technologies in radiology. Holding an MSc Level 2 in Engineering and having completed a postdoctoral fellowship focused on developing and applying novel Artificial Intelligence algorithms, his research has contributed to integrating novel imaging biomarkers for decision-making, ultimately improving patient outcomes.

Dr. Dercle is the recipient of several awards recognizing his efforts in promoting state-of-the-art teaching approaches, including the use of e-learning technologies, to support the professional growth of healthcare professionals. He has mentored numerous physicians and scientists and has served as a director or jury member for numerous MD and PhD theses, recognizing the importance of nurturing and guiding the next generation in healthcare.

Academic Appointments

  • Associate Research Scientist in the Department of Radiology


  • Male

Credentials & Experience

Education & Training

  • MD, University of Paris-Saclay
  • MS, Engineering, University of Toulouse
  • PhD, Gustave Roussy, University of Paris-Saclay
  • Residency: Toulouse University Hospitals, France
  • Residency: NewYork-Presbyterian/Columbia University Irving Medical Center
  • Fellowship: Gustave Roussy Cancer Campus Grand Paris, France

Honors & Awards

2023    Radiological Society of North America: Roentgen Resident/Fellow Research Award

2023    Radiological Society of North America: RSNA Research & Education Foundation Research Grant

2023    French Public Investment Bank: Grant for e-Learning technologies

2022    French Public Investment Bank: Grant for e-Learning technologies

2022    International Association for the Study of Lung Cancer (IASLC): Early Career Education Award

2022    Trustees of the American Board of Radiology: The B. Leonard Holman Research Pathway

2019    Radiological Society of North America: 2019 Radiology Editor’s Recognition Award: reviewing with distinction

2018    Radiological Society of North America: RSNA Fellow Research Prize

2018    French Ministry of Higher Education, Research and Innovation: PEPS Award (Passion Teaching and Pedagogy in Higher Education) for data-driven e-Learning tool

2018    French Public Investment Bank: French Tech Innovation Grant

2017    Radiological Society of North America: RSNA Fellow Research Prize

2017    Fondation Nuovo-Soldadi: Fondation Nuovo-Soldadi Research Grant

2016    Association de Recherche contre le Cancer, ARC: Fondation ARC Jeunes Chercheurs Research Grant

2015    Philanthropia Foundation: Course of Excellence in Oncology Research Grant

2015    Radiological Society of North America: RSNA Travel Award for Young Investigators in Molecular Imaging

2015    Toulouse University: Laureate of the Toulouse Medical Faculty. Gold Medal Awar


Selected Publications

  1. Emerging and Evolving Concepts in Cancer Immunotherapy Imaging, Radiology, 2023.
  2. Early readout on overall survival of patients with melanoma treated with immunotherapy using a novel imaging analysis, JAMA oncology, 2022.
  3. High serum LDH and liver metastases are the dominant predictors of primary cancer resistance to anti-PD (L) 1 immunotherapy, European Journal of Cancer, 2022.
  4. Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy, Journal for Immunotherapy of Cancer, 2022.
  5. Toward generalizability in the deployment of artificial intelligence in radiology: role of computation stress testing to overcome underspecification, Radiology: Artificial Intelligence, 2021.
  6. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules, European radiology, 2020.
  7. Radiomics response signature for identification of metastatic colorectal cancer sensitive to therapies targeting EGFR pathway, JNCI: Journal of the National Cancer Institute, 2020.
  8. Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics Signatures in NSCLC, Clinical Cancer Research, 2020.
  9. 18F-FDG PET and CT scans detect new imaging patterns of response and progression in patients with Hodgkin lymphoma treated by anti–programmed death 1 immune checkpoint inhibitor, Journal of Nuclear Medicine, 2018.
  10. Vol-PACT: a foundation for the NIH public-private partnership that supports sharing of clinical trial data for the development of improved imaging biomarkers in oncology, JCO clinical cancer informatics, 2018.
  11. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study, The Lancet Oncology, 2018.
  12. Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1Hyperprogressive Disease with Anti-PD-1/PD-L1 Therapy, Clinical Cancer Research, 2017.
  13. Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology, Annals of Oncology, 2017.