Resources for the Advancement of Women in Medical Imaging Informatics

Machine Learning Course 1

A fantastic suggested course from a fellow RADxxer This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

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Strategies for Improving Reporting in Radiology

Radiology reports are a critical part of the role of the radiologist in patient care. However, they often confuse and elude patients. This study determines techniques that can be employed to make radiology reporters from useful, actionable, and patient friendly.

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What is a Medical Informaticist?

From the American College of a Radiology, a steadily evolving, increasingly necessary professional in radiology is the medical imaging informaticist (I2). But what is an I2, who are they and what do they do?

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Imaging 3.0 Informatics Scorecard

Imaging 3.0 is a radiology community initiative to empower radiologists to create and demonstrate value for their patients, referring physicians, and health systems. Radiologists can highlight the value of their field by offering high-quality care at a low price. However, informatics is a necessary part of this strategy. Read these suggestions by the American College of Radiology to apply Imaging 3.0 to your practice.

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Informatics Resource

Our RADxx go-to for informatics - The Journal of the American College of Radiology Imaging Informatics Resource Center. Built from the base of the Imaging IT Reference Guide articles published as a JACR Special Issue, this Resource Center shares the expertise and publications of the ACR Commission on Informatics. Guided by Guest Editors Arun Krishnaraj, MD, MPH, and Christoph Wald, MD, PhD, FACR, the site will serves as a growing online portal to a wide range of imaging informatics information, as additional resources and links are added.

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Case Study – Women Neuroradiologists & Neurologists Work Together in OR

What do brain surgery and an airplane flight have in common? World-renowned neurosurgeon Amin Kassam, MD, sees parallels between commercial flight and a health care model built on value through risk reduction rather than volume. Read about her multidisciplinary team in this article.

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