Participate in the RFS Journal Club

The RFS facilitates 2 journal clubs, on the topics of Artificial Intelligence and Economics. These journal clubs let trainees interact directly with ACR leaders and gain their unique perspectives on their areas of expertise.

The journal club meets via conference call facilitated by a member of ACR leadership.

 The RFS AI Journal Club has its own YouTube channel which includes all previous AI Journal Club recordings. Subscribe to our AI Journal Club mailing list >>


Upcoming Events

December 8, 2020 at 8PM ET: RFS Economics Journal Club - Alternative Payment Models

Register now >>

- Greg Nicola, MD, FACR
Chair, ACR Commission on Economics

- Lauren Golding, MD

We will discuss the following papers (login required):

- The APM Pathway to Radiologists' Success in the MIPS

- Real and Perceived Opportunities for Radiologists to Respond to Value-Based Payment

- MACRA, APM, and Physician Focused Payment Models

Recommended reading:

- Traditional Payment Models in Radiology: Historical Context for Ongoing Reform

- APM in Radiology - the Legislative and Regulatory Roadmap for Reform

- Price Transparency in Radiology

Previous Journal Club Events

RFS Economics Journal Club - COVID-19

Moderator: Mohan Narayanan, MD


  • Dr. Mahmud Mossa-Basha MD is a Neuroradiologist and among other held positions, he is the Chief of Radiology at University of Washington and NWH Medical Centers, Associate Professor of Radiology at University of Washington School of Medicine.
  • Ms. Kim Asher is a former Radiologic Technologist, and now Chief Operating Office of Memphis Radiological PC, a multispecialty practice of more than 50 radiologists. She is also the president of the TN chapter of the Radiology Business Managers Association.

RFS AI Journal Club: Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

In this session, we review the development and validation of artificial intelligence systems that extract meaningful image features and calculate disease probabilities to derive brain MRI differential diagnoses approaching neuroradiologists’ accuracy for 19 diseases involving the cerebral hemispheres and 36 diseases involving deep gray matter.

Moderator: Dan Cohen, MD


  • Jeff Rudie, MD, PhD
  • Andreas Rauschecker, MD, PhD


RFS Economics Journal Club: The Importance and Utility of the MBA in Radiology

RFS Economics Advisory Group is happy to host a discussion about the importance and utility of attaining an MBA degree as a radiologist. The intended audience includes radiology and radiation oncology trainees, and radiologists/radiation oncologists in all career stages of private and academic practice who may be interested in pursuing an MBA.

Moderator: Mohan Narayanan, MD


  • Geraldine McGinty, MD, MBA, FACR
  • Melissa A. Davis, MD, MBA

RFS AI Journal Club: A Road Map for Translational Research on AI in Medical Imaging

Moderator: Dan Cohen-Addad, MD


  • Curtis Langlotz, MD
    Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research at the Stanford University Medical Center
  • Bibb Allen Jr., MD, FACR
    Chief Medical Officer of the ACR Data Science Institute
  • Teresa Martin-Carreras, MD
    University of Pennsylvania Radiology Resident and Imaging Informatics Fellow

Article discussed:
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

RFS AI Journal Club: Usage of Automated Deep Learning Tools

In this session, we discussed the feasibility and usefulness of automated deep learning technology in medical imaging classification tasks done by physicians with no coding experience, with results comparable to traditional deep learning models.


  • Pearse A Keane MD MSc FRCOphth MRCSI
    Consultant Ophthalmologist, Moorfields Eye Hospital NHS Foundation Trust, UK
    NIHR Clinician Scientist and Associate Professor, University College London, Institute of Ophthalmology, UK  
  • Livia Faes, MD
    Honorary research fellow at the Moorfields Eye Hospital London UK and resident at the Cantonal Hospital Lucerne, Switzerland
  • Siegfried Wagner, MD
    NIHR academic clinical fellow at Moorfields Eye Hospital and the UCL institute of ophthalmology

RFS AI Journal Club: A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging

In this session, we review where we currently stand with AI and medical imaging, and we elaborate on numerous opportunities to advance machine learning research with medical imaging.

Curtiz Langlotz, MD
Bibb Allen Jr., MD, FACR
Dan Cohen, MD

Article discussed:
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

RFS AI Journal Club: Adversarial Networks

In this session, we discuss techniques that make it possible to generate fake nodules and trick radiologists.


  • Andrew Beam, MD
  • Sam Finlayson, MD

RFS AI Journal Club: Hands-on session for non technical beginner with model building on Kaggle

We are excited to have Dr. Walter Wiggins, a radiology resident at Harvard who will walk us through a simple hands on application using chest X-rays to allow you to get you going with machine learning. This session will be helpful for persons without technical skills, all we request is for you to create an account on Kaggle -

If you would like to pre-read and test out the Kaggle kernel use this -

RFS Economics Journal Club - Tackling RVUs For the Early Career Radiologist

Date: Feb 20, 2019


  • Richard Duszak Jr., MD, FACR
    ACR Vice Speaker
    Professor and Vice Chair for Health Policy and Practice, Emory University Department of Radiology
  • Lauren Golding, MD
    Vice Chair, MACRA Committee, American College of Radiology
    Triad Radiology Associates

RFS AI Journal Club - Pneumonia Challenge

Date: Jan 30, 2019


  • Dr. Alexandre Cadrin-Chenevert
  • Dr. Phillip Cheng
  • Dr. Felipe Kitamura

What Does Deep Learning See?

Guest panelists:

  • Dr. Kenneth Philbrick
  • Dr. Brad Erickson

Article for discussion:
What Does Deep Learning See?

Women in Radiology

Guest Panelists:

  • Marta Heilbrun, MD, MSCI
  • Geraldine McGinty, MD, MBA, FACR
  • Kimberly E. Applegate, MD, MS, FACR, FAAP, FAAWR

Deploying AI in Your Institution and Collaborating with Other Institutions

Guest panelists: 

  • Dr. Ross Filice 
  • Dr. Safwan Halabi 
  • Ken Chang 

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

Guest panelists: 

  • Dr. Anouk Stein - who is a radiologist of the md.AI group, a platform used for annotating dataset.
  • Sravya Tirukkovalur- Engineer who has worked in the domains of Big Data, Machine learning and Open source. Passionate about connecting technical capabilities to problems worth solving. Currently a senior ML engineer at Adobe, also co-founder at

FDA Approval

Guest panelists: 

  • Saurabh Jha, MBBS
  • Daniel Golden
  • Bibb Allen Jr., MD, FACR

Radiology Consulting and Entrepreneurship: Leveraging Your MD in Business

Guest panelists:

  • Woojin Kim, MD
  • Richard Caplin, MBA
  • William Boonn, MD
  • Paras Lakhani, MD
  • José Morey, MD

Machine Learning in Radiology: Applications Beyond Image Interpretation

Artificial Intelligence in Radiation Oncology

Presented by: Reid Thompson, MD, PhD

Deep Learning in Radiology: The Big Picture

Presented by Katherine Andriole, MD, and Alexandre Cardin, MD

Deep Learning and Google Street View

How to Read and Critique Deep Learning Papers

Guest panelists included Dr. Luke Oakden-Rayner, Dr. Paras Lakhani, Dr. Raym Geis, Dr. Matthew Lungren, Jeremy Howard, Curtis Langlotz, Pranav Rajpurkar, and Jeremy Irvin.

Radiologists as Knowledge Experts in a World of Artificial Intelligence

First RFS AI Journal Club — moderated by Judy Gichoya, MD, MS, and Bibb Allen Jr., MD, FACR

2017 Update on Medical Overuse

Moderator: Ezequiel Silva III, MD, FACR

Guest Panelist:

  • Richard Heller, MD

Medical Care Costs and Spending Under MACRA

Variations in Medicare Reimbursement in Radiation Oncology

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