Data Science Office

Data Science Pathway (DSP)

The DSP is an exclusive program for Mass General Brigham Radiology Residents to learn the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare.

The pathway is an immersive educational experience that expands upon the Machine Learning Foundational Curriculum with live interactive “Flipped-Classroom” sessions, hands-on demonstrations, “On-Your-Own” exercises, and a Journal Club.

*Radiology Fellows may do an abbreviated experience without a research project.

The pathway consists of:

Introduction to the tools and techniques involved in developing, validating, and translating Artificial Intelligence/Machine Learning into clinical practice

Data science research project in conjunction with a Mass General Brigham clinical champion

Exposure to industry collaboration and the full lifecycle of AI products and services, from concept to care integration, including product development procedures, regulatory processes and ethics of Machine Learning

Learn more about this dynamic course and how to register.

Fields marked with an asterisk are required.

Katherine P. Andriole, Ph.D., FACR, FSIIM
Director of Research, Strategy and Operations, Mass General Brigham Data Science Office; Associate Professor of Radiology, Brigham and Women’s Hospital, Harvard Medical School

Alumni

M. Travis Caton, M.D.

M. Travis Caton, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2015-2019

Neuro-Interventional Radiology Fellow, UCSF 2019-2021

Neuro-Interventional Surgery Fellow, UCSF 2021-2022

PROJECTS

Acute Stroke on CT and MRI

Lumbar Vertebral Spine Labeling and Stenosis Grading on MRI

MRI Lumbar Spine Reporting Analysis and Natural Language Processing

Matthew Haber, M.D.

Matthew Haber, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2016-2020

NeuroRadiology Fellow, MGH, 2020-2022

Director of Wellness and Staff Radiologist at Vision Radiology 2022

PROJECTS

Detection of Idiopathic Normal Pressure Hydrocephalus on Head CT using a Deep Convolutional Neural Network

Lorin Yuntong Ma, M.D.

Lorin Yuntong Ma, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2018-20122

Musculoskeletal Radiology Fellow, Stanford University, 2022-2023

PROJECTS

Differentiation of Rheumatoid Arthritis and Osteoarthritis on Hand X-ray Using Machine Learning

Kirti Magudia, M.D., Ph.D.

Kirti Magudia, M.D., Ph.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2015-2019

Abdominal Imaging and Ultrasound Fellow, UCSF 2020-2021

Biomedical Imaging for Clinical Scientists T32 Program, UCSF 2019-2020

Assistant Professor of Radiology, Abdominal Imaging, Duke University 2021-present

PROJECTS

Population-scale CT-based Body Composition Analysis

Jisoo Kim, M.D.

Jisoo Kim, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2017-2021

NeuroRadiology Fellow, BWH, 2021-2022

PROJECTS

Glioblastoma Multiforme Brain Tumor Segmentation on MRI with Deep Learning

Olga Laur, M.D.

Olga Laur, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2016-2020

Musculoskeletal Imaging Fellow, NYU 2020-2021

PROJECTS

N/A

Cory Robinson-Weiss, M.D.

Cory Robinson-Weiss, M.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2016-2020

Abdominal Imaging Fellow, MGH 2020-2021

Instructor of Radiology, Breast Imaging, BWH, Harvard Medical School 2021-present

PROJECTS

Adrenal Gland Segmentation and Mass Classification using Machine Learning

Walter Wiggins, M.D., Ph.D.

Walter Wiggins, M.D., Ph.D.

POST-RESIDENCY POSITIONS

BWH Radiology Resident, 2015-2019

NeuroRadiology Fellow, Duke University, 2019-2020

Assistant Professor of Radiology, Neuroradiology Section, Duke University School of Medicine 2020-present

Clinical Director, Duke Center for Artificial Intelligence in Radiology 2020-present

PROJECTS

Lumbar Vertebral Spine Labeling and Stenosis Grading on MRI

MRI Lumbar Spine Reporting Analysis and Natural Language Processing

Acute Stroke on CT and MRI

Alumni Publications

All Publications

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