cv
Basics
Name | Ian Pan |
Label | Radiologist |
[email protected] | |
Url | https://ianpan.me |
Summary | Radiologist, deep learning practitioner, waiting for AI to replace me |
Work
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2021.06 - 2025.06 PGY-5 Diagnostic Radiology
Brigham and Women's Hospital
Responsibilities include: image interpretation, image-guided procedures, exam protocolling, communication with ordering providers, interdisplinary conferences
- Chief Resident, 2023-2024
- RSNA Resident Representative, 2022-2023
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2020.06 - 2021.06 PGY-1 Internal Medicine
University Hospitals Cleveland Medical Center
Performed the duties of a first-year preliminary medical intern, providing care for inpatients at University Hospitals Cleveland Medical Center and the Cleveland Veterans Affairs Medical Center
- Awarded Preliminary Intern of the Year
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2018.12 - Present Consultant
Freelance AI Consulting
Provide consulting services for companies related to healthcare (primarily medical imaging) and AI, including MD.ai, Dasa, and Centaur Labs
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2015.05 - 2015.08 Fellow
Data Science for Social Good
Developed a machine learning algorithm alongside the Illinois Department of Public Health to predict risk of adverse birth outcomes in underserved pregnant women to guide allocation of limited resources
- Published manuscript in the American Journal of Public Health: https://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2017.303711
Education
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2016.08 - 2020.05 Providence, RI, USA
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2015.09 - 2016.05 Providence, RI, USA
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2012.09 - 2016.05 Providence, RI, USA
Awards
- 2024
MIDRC XAI Grand Challenge 1st Place Winner
Medical Imaging and Data Resource Center
1st place winner in this competition to produce explainable AI predictions for pneumonia in chest radiographs
- 2024
RSNA Lumbar Spine Degenerative Classification AI Challenge 2nd Place Winner
Radiological Society of North America
Part of 2nd place team in the 2024 RSNA AI challenge hosted on Kaggle
- 2023
MIDRC mRALE Mastermind Challenge 1st Place Winner
Medical Imaging and Data Resource Center
1st place in this competition to predict COVID severity on chest radiographs
- 2023
RSNA Abdominal Trauma Detection AI Challenge 8th Place Winner
Radiological Society of North America
8th place in the 2023 RSNA AI challenge hosted on Kaggle
- 2023
RSNA Screening Mammography Breast Cancer Detection AI Challenge 4th Place Winner
Radiological Society of North America
Part of 4th place team in the 2023 RSNA AI challenge hosted on Kaggle
- 2022
RSNA Cervical Spine Fracture AI Challenge 6th Place Winner
Radiological Society of North America
6th place in the 2022 RSNA AI challenge hosted on Kaggle
- 2022
COVID-19 AI Detection Challenge 3rd Place Winner
Radiological Society of North America, Society for Imaging Informatics in Medicine, Foundation for the Promotion of Health and Biomedical Research of Valencia Region
Part of 3rd place duo in this competition hosted on Kaggle
- 2021
The Willard A. Bernbaum Award
Case Western Reserve University School of Medicine
Awarded by the Department of Medicine to 2 exemplary preliminary interns in Internal Medicine per year
- 2020
RSNA Pulmonary Embolism Detection Challenge 2nd Place Winner
Radiological Society of North America
2nd place in this competition hosted on Kaggle, also received the Educational Merit Award
- 2020
RSNA Trainee Research Prize in Neuroradiology
Radiological Society of North America
Awarded for scientific abstract, Fully-Automated Identification and Characterization of Large Vessel Occlusions on CT Angiography with 3D Convolutional Neural Networks, under the mentorship of Dr. Harrison Bai
- 2020
Radiological Society of Rhode Island Prize
Radiological Society of Rhode Island, Warren Alpert Medical School
Awarded to two graduating medical students who have completed a radiology elective, shown significant interest in radiology during the elective and knowledge in radiology considered to be greater than his/her colleagues
- 2018
RSNA Pneumonia Detection Challenge 1st Place Winner
Radiological Society of North America
Part of 1st place duo in this competition hosted on Kaggle
- 2018
RSNA Trainee Research Prize in Informatics
Radiological Society of North America
Awarded for scientific abstract, Predicting Thyroid Malignancy with Efficient Convolutional Neural Networks, under the mentorship of Drs. Michael Beland and Derek Merck
- 2017
RSNA Pediatric Bone Age Challenge 2nd Place Winner
Radiological Society of North America
2nd place in the inaugural RSNA AI challenge
- 2016
The Milton Hamolsky Prize
Program in Liberal Medical Education, Brown University
Awarded to the PLME student who has best utilized the potentialities inherent in the PLME to pursue scholarly interests in the natural sciences which will enhance and enrich the student’s career as a physician
Skills
Deep Learning | |
Computer Vision | |
Medical Imaging | |
PyTorch | |
Convolutional Neural Networks | |
Transformers |
Radiology | |
Neuroradiology | |
General Radiology | |
Emergency Radiology | |
DICOM | |
PACS |
Languages
English | |
Native speaker |
French | |
Conversant |
Chinese | |
Conversant |
Interests
Artificial Intelligence | |
AGI | |
Generalist Models in Medical AI | |
Self/Weakly-Supervised Learning | |
Task-Specific vs Foundation Models | |
Grounded Foundation Models in Radiology |