Leadership Insider Podcast Episode 108: Artificial Intelligence Part 1

Source: ACR Leadership Insider

Artificial Intelligence and the Future of Radiology

No, the robots are not here to take your job. But, with the emergence of machine learning technologies, what exactly does that mean for radiology and how will it impact the workflows, processes and the nature of the job? In this exciting new episode, Mark Michalski, MD, the executive director of the Center for Clinical Data Science at Massachusetts General and Brigham Hospital joins us as we discuss the history of AI, how it's being used today, how it might change radiology and how radiology can leverage this new technology to provide even more value and better patient care. 

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AI Holds Promise of Improving Doctors’ Diagnoses

Source: Wall Street Journal

With artificial intelligence, machines can see what many humans may have missed

Radiologists can scrutinize hundreds of images before identifying an area of concern in a patient’s body. Mark Michalski likens the process to “playing ‘Where’s Waldo?’ on each of those images.”

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A.I. AND GE – THE DISRUPTION ACCELERATES

Source: Partners Innovation News

On May 17, Partners HealthCare joined forces with another Boston institution, GE Electric Co., to launch an ambitious 10-year collaboration to rapidly develop, validate, and strategically integrate deep learning technology into every aspect of the patient journey.

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The team behind the future of AI in healthcare

Source: The Pulse

A new 10-year commitment aims to integrate AI into every aspect of the patient journey.

Rarely are there such juxtaposed views around the potential of a technology than those surrounding AI in medicine. As skeptics ask for proof, supporters sell the dream. Both know that it’s mostly unchartered territory ahead.

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How AI Can Improve the Diagnosis and Treatment of Diseases

Source: The AI Podcast

Data-driven medicine promises to pick out much more subtle trends — patterns that may only be apparent when you can compare the health care histories of tens of thousands of patients. Patterns that can drive much more effective treatments. As a result, medicine — particularly radiology and pathology — has become more data-driven.

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Improving Radiology with Artificial Intelligence

Source: Medtech Boston

Artificial intelligence has become a buzzword in many fields. For manufacturing, it may mean a loss of jobs, but for radiologists, implementing artificial intelligence may result in a more efficient use of time, and the ability to focus on more difficult cases.

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Dr Google will see you now

Source: Sydney Morning Herald

Google Glass is alive and kicking; San Francisco health start-up Augmedix is refining the internet-browsing eyeglasses to give doctors real time access to patients' electronic health records and the web.

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Development of Artificial Intelligence to Aid Radiology

Source: ITNOnline

At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis and clinical decision support. Here are two examples of how the IBM Watson system examines a mammography and cardiac patient imaging studies. Watch the VIDEO “Development of Artificial Intelligence to Aid Radiology,” an interview with Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explaining the basis of artificial intelligence in radiology.

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Video from RSNA 2016: Can AI rescue radiologists from isolation?

Source: AuntMinnie

Many radiologists are viewing artificial intelligence (AI) technology with trepidation. But could AI help rescue radiologists from further isolation from the rest of the healthcare community? Dr. Mark Michalski, director of the Center for Clinical Data Science at Massachusetts General Hospital, ponders this intriguing question in this video from RSNA 2016.

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