13 predictions by researchers and experts from around the world.
Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 “The Year of AI.” And with good reason.
AI outperformed professional gamers and poker players in new realms. Access to deep learning education expanded through various online programs. The speech recognition accuracy record was broken multiple times, most recently by Microsoft. And research universities and organizations like Oxford, Massachusetts General Hospital and GE’s Avitas Systems invested in deep learning supercomputers.
RAD Women (#RADxx), a networking group for the advancement of women in imaging informatics, today announced the winners of the inaugural RADxx Awards. Winners and honorable mentions of the RADxx Trailblazer, Advocate, Champion, and Rising Star Awards were unveiled at a cocktail reception sponsored by Ambra Health during the annual RSNA conference. The outstanding individuals who have helped to lead the way for women in medical imaging informatics are as follows.
We asked top clinicians what they really think about the future of AI in healthcare. Here’s what they said: Despite the debate, most say AI’s potential to transform healthcare is great… and it’s closer to reality than we expected.
One of the more miraculous aspects of modern medicine is its ability to peer directly inside the human body to aid in diagnosis of disease and medical conditions. Radiological imaging is one of the most effective diagnostic tools available, and its use is so pervasive that it accounts for about 10% of U.S. medical costs.
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.
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.”
World’s first NVIDIA DGX systems with Volta AI supercomputers arrive in Boston to help doctors make more accurate diagnoses.
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.
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.
Boston-based Partners HealthCare is jumping headlong into the artificial intelligence sector, inking a partnership with GE Healthcare to create new AI platforms that can be used well beyond the integrated health system.
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.
Source: BWH Bulletin
The Brigham and Massachusetts General Hospital have teamed up to form the MGH & BWH Center for Clinical Data Sciences (CCDS) to create, promote and commercialize artificial intelligence in health care.
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.
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.
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.
Source: NVidia Blog
Ask doctors and they’ll tell you: In children, there’s chronological age and there’s bone age. When the two don’t match, there’s a problem. Bones that mature too quickly or too slowly may impair a child’s growth.