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 新澳门六合彩官网 leaders and gain their unique perspectives on their areas of expertise.

The journal club meets via conference call facilitated by a member of 新澳门六合彩官网 leadership.

 The RFS AI Journal Club has its own YouTube channel which includes .

Most Recent Webinar


Generalist Medical AI: Towards Flexible, Interactive, and Multimodal Models


The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. In this talk, we will discuss a new paradigm for medical AI: generalist medical AI (GMAI). GMAI models will be capable of carrying out a diverse set of tasks using very little or no task-specific labelled data.

Host:

  • Thomas Reith, MD

Guest Speaker:

  • Michael Moor, MD PhD


Previous Journal Club Events

RFS Webinar: Ethics of AI in Practice




As AI continues to transform the field of radiology, it's crucial that we examine the ethical implications of its use. Join us for a thought-provoking webinar on the "Ethics of AI in Practice". In this webinar, we will explore the ethical considerations that arise when implementing AI systems. Our expert speaker, Linda Moy, MD, will share her insights and experiences in navigating the ethical challenges posed by AI in practice. 

Host:

  • Bersu Ozcan, MD

Speaker:

  • Linda Moy, MD, F新澳门六合彩官网, FISMRM, FSBI

RFS AI Journal Club: Artificial Intelligence Applications in Women鈥檚 Health




There are several available AI applications, but which applications are specific to women’s health, and how do these really perform? Hear from female experts in the field and engage in these thought-provoking conversations while sharing their personal journeys as well in data science/artificial intelligence.

Host:

  • Abiola Femi-Abodunde, MD
  • 新澳门六合彩官网 RFS AI-Subcommittee

Speakers:

  • Dr. Basak Dogan, MD, Associate Professor, Breast Imaging Division, UT Southwestern Medical Center, Director of Breast Imaging Research
  • Dr. Imon Banerjee, PhD, Associate Professor, Mayo Clinic/Arizona State University, Lead AI Scientist, Mayo Clinic AZ

RFS AI Journal Club: Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions


Join the 新澳门六合彩官网 RFS AI subcommittee for this month's journal club on purchasing considerations for AI solution acquisition. Guests, and article co-authors, Ross Filice, MD, John Mongan, MD, and Marc Kohli, MD will join moderator Ali Tejani, MD in a discussion about infrastructure, quality, financial, and safety considerations to guide AI purchases.

RFS AI Journal Club: How to Build an AI Model


Follow along with neuroradiologist Walter Wiggins, MD, PhD, as he guides you through the process of training a deep learning model to detect intracranial hemorrhage on head CT images. Even if you don't plan on building your own imaging AI tools, you should walk away with a better understanding of how these tools are developed, as well as some of the issues encountered during development.

Moderator:

  • Jason Adleberg

Speaker:

  • Walter Wiggins, MD, PhD

RFS AI Journal Club: Multimodal Fusion With Deep Neural Networks For Leveraging CT Imaging And Electronic Health Record


Join a very exciting session with some of the most renowned experts on Imaging Informatics discussing multimodal deep neural network models combining information from both imaging and EMR data to improve overall performance.

Moderator:

  • Sina Mazaheri MD, R2 Radiology Resident at Emory University

Panelists:

  • Mars Huang, PhD Candidate at Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI)
  • Matthew Lungren MD, Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare.
  • Imon Banerjee PhD, Lead AI Scientist at Mayo Clinic
  • Judy Gichoya MD, Interventional Radiolgist at Emory and NIH Data Scholar at Fogarty International Center at NIH

RFS AI Journal Club: Automatic Fully鈥慍ontextualized Recommendation Extraction from Radiology Reports


As part of a monthly series of journal clubs, we are reviewing and discussing cutting edge research articles in artificial intelligence application in radiology.

Moderator: Nathaniel Linna, MD PGY-5

Panelists:

  • Jackson Steinkamp, MD PGY-3
  • Tessa Cook, MD, PhD- Assistant Professor of Radiology

Women and Diversity Journal Club: Diversity in Radiology Workforce: Barriers for Recruitment, Retention and Advancement of Women and Minorities


The 新澳门六合彩官网 RFS Women and Diversity Advisory Group is hosting an online panel discussion on the importance and challenges of creating a diverse radiology workforce. Even though the benefits of diversity and inclusion have been touted in medical literature and highlighted in publication and social media in recent years, radiology still lags behind many other specialties. In this session, we will review some of the challenges women and underrepresented minorities face in entering radiology and advancing to leadership positions and review evidence-based strategies to overcome some of these barriers.

The panel is consist of three faculty members who are leaders and active advocates in this topic both at departmental level as well as nationally in radiology professional societies.

Resident Moderators:

  • Ragheed Al-Dulaimi, MD - University of Utah
  • Jade Anderson, MD - Norwalk Hospital

Faculty Panelists:

  • Carolynn M. DeBenedectis MD - University of Massachusetts
  • Lucy B. Spalluto MD, MPH - Vanderbilt University
  • Sherry Wang, MBBS FRANZR - University of Utah

Radiation Oncology - Alternative Payment Model Panel Discussion


During this session, we discussed controversial topics within the APM, including discount factors, inclusion of protons and more, with radiation oncology experts and Medicare representatives. The RO-APM comment period ended on September 17.

Moderator:

  • Aaron Bush, MD - 新澳门六合彩官网 RFS Radiation Oncology Representative

Panelists:

  • Join Luh, MD
  • Najeeb Mohideen, MD

 


RFS Economics Journal Club - Alternative Payment Models


Panelists:

  • Greg Nicola, MD, F新澳门六合彩官网, Chair, 新澳门六合彩官网 Commission on Economics
  • Lauren Golding, MD

Articles discussed (login required):


Recommended reading:

RFS Economics Journal Club - COVID-19


Moderator: Mohan Narayanan, MD

Panelists:

  • 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.

Articles discussed:

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鈥 accuracy for 19 diseases involving the cerebral hemispheres and 36 diseases involving deep gray matter.

Moderator: Dan Cohen, MD

Panelists:

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

 


Article discussed: 

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

Panelists:

  • Geraldine McGinty, MD, MBA, F新澳门六合彩官网
  • 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

Panelists:

  • Curtis Langlotz, MD
    Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research at the Stanford University Medical Center
  • Bibb Allen Jr., MD, F新澳门六合彩官网
    Chief Medical Officer of the 新澳门六合彩官网 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/新澳门六合彩官网/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.

Moderator: Dan Cohen-Addad, MD

Panelists:

  • 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.

Panelists:
Curtiz Langlotz, MD
Bibb Allen Jr., MD, F新澳门六合彩官网
Dan Cohen, MD


Article discussed:
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/新澳门六合彩官网/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.

Panelists:

  • Andrew Beam, MD
  • Sam Finlayson, MD

Articles discussed:

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 - https://www.kaggle.com/.

If you would like to pre-read and test out the Kaggle kernel use this - https://www.kaggle.com/gichoya/hello-world-for-deep-learning-siim/data

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


Date: Feb 20, 2019

Panelists: 

  • Richard Duszak Jr., MD, F新澳门六合彩官网
    新澳门六合彩官网 Vice Speaker
    Professor and Vice Chair for Health Policy and Practice, Emory University Department of Radiology
  • Lauren Golding, MD
    Vice Chair, M新澳门六合彩官网A Committee, 新澳门六合彩官网
    Triad Radiology Associates

For discussion:

RFS AI Journal Club - Pneumonia Challenge


Date: Jan 30, 2019

Panelists: 

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

For discussion:

What Does Deep Learning See?


Guest panelists:

  • Dr. Kenneth Philbrick
  • Dr. Brad Erickson

Article for discussion:

Women in Radiology


Guest Panelists:

  • Marta Heilbrun, MD, MSCI
  • Geraldine McGinty, MD, MBA, F新澳门六合彩官网
  • Kimberly E. Applegate, MD, MS, F新澳门六合彩官网, FAAP, FAAWR

Article for discussion:

Deploying AI in Your Institution and Collaborating with Other Institutions


Guest panelists: 

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

Article discussed: 

 

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 ImpactAI.org.

Article discussed: 

FDA Approval


Guest panelists: 

  • Saurabh Jha, MBBS
  • Daniel Golden
  • Bibb Allen Jr., MD, F新澳门六合彩官网

Article discussed:

Radiology Consulting and Entrepreneurship: Leveraging Your MD in Business


Guest panelists:

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

Machine Learning in Radiology: Applications Beyond Image Interpretation


Guest panelists:

  • Woojin Kim, MD
  • Paras Lakhani, MD

Articles discussed:

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

Article discussed:

Deep Learning and Google Street View


Presented by Timnit Gebru

Article discussed: 

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.

Articles discussed:

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, F新澳门六合彩官网

Materials discussed:

2017 Update on Medical Overuse


Moderator: Ezequiel Silva III, MD, F新澳门六合彩官网

Guest Panelist:

  • Richard Heller, MD


Article discussed: 

Medical Care Costs and Spending Under M新澳门六合彩官网A


Guest panelist:

  • Richard Hirsch, MD


Article discussed: 

Variations in Medicare Reimbursement in Radiation Oncology


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