Care in the Next 18 Months- Routine, Elective, Remote

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Care in the Next 18 Months- Routine, Elective, Remote At the 2020 World Medical Innovation Forum, hospital chief executives reflected on how health care will evolve over the next 18 months in the face of COVID-19. Panelists considered which changes within the hospital will stick, predicted how we will deliver care in the future, and…

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Realizing the Promise of AI in the Clinic

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The gap between the development of AI and its use and integration in the clinic is closing, as technology, sophisticated algorithms, data sets, and computational capacity are now directly supporting both clinicians and patient care in clinical settings. Yet, realizing the full impact of AI for patient care and improved diagnostic decision making will depend…

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Realizing the Promise of AI in the Clinic

The gap between the development of AI and its use and integration in the clinic is closing, as technology, sophisticated algorithms, data sets, and computational capacity are now directly supporting both clinicians and patient care in clinical settings. Yet, realizing the full impact of AI for patient care and improved diagnostic decision making will depend…

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Disseminating Medical Expertise to Areas that Need it Most

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Replacing physicians has been cited as an aim of artificial-intelligence-based approaches to health care. Yet beyond the hype and hyperbole, there is a much more likely — and worthy — application of AI to medicine: infusing clinical expertise into regions where doctors are in short supply. A key case in point: the global shortage of…

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Getting Back to Face Time: AI Tools that Help Reduce Physicians’ Computer Use

Just as computers have propelled major advances in modern medicine, their presence has also become a significant burden. That’s because the amount of time physicians now spend on the computer — reviewing clinical data and completing required documentation in electronic health records (EHRs) — has soared. It is estimated that physicians spend roughly half of…

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Getting Back to Face Time: AI Tools that Help Reduce Physicians’ Computer Use

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Just as computers have propelled major advances in modern medicine, their presence has also become a significant burden. That’s because the amount of time physicians now spend on the computer — reviewing clinical data and completing required documentation in electronic health records (EHRs) — has soared. It is estimated that physicians spend roughly half of…

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Next Chapter For Biotech? Many Say 'Convergence' With Data Science

by WBUR June 8, 2018- So far, the digital revolution has mostly been a disappointment in health care. Doctors stare at their screens instead of us. Specialists and emergency rooms still don’t have all our records. But artificial intelligence, big data analytics and deep learning are converging on health care in a big way, information…

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Nuance and Partners HealthCare Collaborate to Accelerate Widespread Development, Deployment and Adoption of AI Applications for Diagnostic Imaging

At HIMSS 2018, Nuance Communications, Inc.(NASDAQ:NUAN), today announced the signing of a multi-year strategic agreement with Partners HealthCare. The two organizations will optimize the process for rapid development, validation and utilization of artificial intelligence (AI) for radiologists at the point of care, and Nuance intends to make the new algorithms available through the Nuance AI Marketplace for…

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Reading the Tea Leaves of Cancer Immunotherapy

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The immune system protects the body from a host of foreign invaders. Over the last few years, therapies that leverage these defenses to fight cancer — so-called cancer immunotherapies — have yielded impressive outcomes in combating some forms of the disease. Yet as promising as these therapies are, they currently help only a small subset…

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Harnessing the Power of Digital Pathology

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Through its decades-long practice of digitizing clinical images, radiology is providing an early proving ground for machine learning-based approaches for disease detection, diagnosis, and prognosis. With a vast, rich pool of radiological images, researchers have access to the raw material needed to develop and hone new disease-detection algorithms, which are helping to drive the AI…

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Bringing “Smart” Machines to Medicine

Self-driving cars are poised to disrupt the transportation industry, and there is a similar revolution underway in health care. This effort seeks to engineer a new generation of “smart” medical equipment that melds scanning with interpretation, monitoring with treatment, and merges data from disparate devices into a common, readily interpretable stream. The goal: to help…

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