新澳门六合彩官网

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

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

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

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

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

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

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.

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

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

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

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

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

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

Panelists:

• Andrew Beam, MD
• Sam Finlayson, MD

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

Date: Jan 30, 2019

Panelists: 

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

Guest panelists:

• Dr. Kenneth Philbrick
• Dr. Brad Erickson

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

Guest panelists: 

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

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.

Guest panelists: 

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

Guest panelists:

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

Guest panelists:

• Woojin Kim, MD
• Paras Lakhani, MD

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

Guest Panelist:

• Richard Heller, MD

Guest panelist:

• Richard Hirsch, MD