Miscellaneous


How doctors can help A.I. to revolutionize medicine

Published on Aug 9, 2018

Greg Corrado, Co-founder of Google Brain and Principal Scientist at Google, has spent the last decade at the forefront of the A.I. revolution. Greg's vision for how A.I. will help to shape the future of health and medicine is grounded in his experience as a neuroscientist—before he started working on computer neural networks, he was focused on neural networks in the human brain.

From distilling data insights to improving the decision making process, Greg sees a multitude of ways that A.I. and machine learning can help magnify the healing powers of doctors. In fact, he believes that doctors who embrace A.I. will "see their healing powers expand more than they have in a hundred years." Tune in to Greg's 2017 TEDMED Talk to learn more about the enormous role that A.I. and machine learning will play in the future of health and medicine, and why doctors and other healthcare professionals must play a central role in that revolution.
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How AI is making it easier to diagnose disease | Pratik Shah

Published on Aug 21, 2018

Today's AI algorithms require tens of thousands of expensive medical images to detect a patient's disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm -- and can even use photos taken on doctors' cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide.
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Accelerating precision medicine with AI | Intel

Published on Sep 17, 2018

Intel AI is transforming medicine from a one-size-fits-all approach to unique, personalized, data-driven solutions that unlock targeted and more effective treatment. Intel’s portfolio of AI technologies and high performance computing is empowering healthcare innovators with new insights and enhanced patient outcomes.

About Intel:
Intel, the world leader in silicon innovation, develops technologies, products and initiatives to continually advance how people work and live. Founded in 1968 to build semiconductor memory products, Intel introduced the world's first microprocessor in 1971. This decade, our mission is to create and extend computing technology to connect and enrich the lives of every person on earth.
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Camels, code & lab coats: how AI is advancing science and medicine

Published on Sep 21, 2018

Artificial intelligence (AI) is already a part of our everyday lives – from search, to translate, to finding all the dog photos we’ve ever taken. Soon, it will also have a major impact on our health and wellbeing. For the past few years, Google researchers have been exploring ways these same technologies could help advance the fields of medicine and science, working with scientists, doctors, and others in the field. In this video, we share a few early research projects that have big potential. Check out the description below for more info on each project.
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AI and Machine Learning in Medicine with Jonathan Chen

Published on Nov 28, 2018

Medicine is ripe for applying AI, given the enormous volumes of real world data and ballooning healthcare costs. Professor Chen demystifies buzzwords, draws analogies to well-established tools and shares why mastering Go and operating self-driving cars differs from solving the unique medical challenges.

Jonathan H. Chen, assistant professor of medicine at the Stanford University Medical Center
As a physician data scientist, Professor Chen practices internal medicine for the concrete rewards of caring for real people and to inspire research focused on discovering and distributing clinical data knowledge. At Stanford, his group seeks to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches that will deliver better care than either can do alone. Professor Chen is a founding partner of the startup Reaction Explorer, which draws on technology to teach complex problem-solving in organic chemistry.

This talk was recorded at Stanford Reunion Homecoming 2018.
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EmpowerMD: medical conversations to medical intelligence

Published on Feb 6, 2019

The Intelligent Scribe captures doctor patient conversations and creates medical intelligence to generate a medical note.
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Webinar: KenSci-Microsoft-HIMSS- Funding your AI Journey. Four stories from Singapore to Seattle

Published on Apr 16, 2019

Having successfully cracked the formula together, KenSci and Microsoft are sharing four true cases of health systems that have invested in AI and witnessed success with as much as 4X ROI in as little as 12 weeks.

Hear from two leading experts in the industry on how they have helped health systems commence their AI journey, make better use of their existing data, and steer their organization towards true north and a visible win.

You don’t just have to take our word for it, at the end of the webinar we’ll share the secret on how you can mark your success in healthcare AI by saving a million patient lives, and at least a million dollars.
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[Webinar] Deep Learning for Medical Imaging

Published on Apr 18, 2019

Listen to this recorded webinar presented by Idan Bassuk, Head of AI at Aidoc in collaboration with NVIDIA.

Deep learning-based object detection has already proven its maturity in many domains and serves as a key component in most AI solutions for medical imaging.

In this webinar, Idan Bassuk, head of AI at Aidoc, will present the unique challenges and opportunities for AI in medical imaging.

You will learn:
why deep learning is a great fit for medical imaging;
how deep learning can solve some of the major challenges associated with training AI in medical imaging, including pyramid networks, focal loss, and deformable convolutional networks; and
about the value AI provides in prioritizing urgent patients in a clinical settings.
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An AI smartwatch that detects seizures | Rosalind Picard

Published on Apr 24, 2019

Every year worldwide, more than 50,000 otherwise healthy people with epilepsy suddenly die -- a condition known as SUDEP. These deaths may be largely preventable, says AI researcher Rosalind Picard. Learn how Picard helped develop a cutting-edge smartwatch that can detect epileptic seizures before they occur and alert nearby loved ones in time to help.
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How AI will liberate doctors from keyboards and basements | Eric Topol

Published on May 19, 2019

Eric Topol, a professor in the Department of Molecular Medicine at Scripps, is an executive vice president at Scripps Research and the founder and director of Scripps Research Translational Institute (previously Scripps Translational Science Institute). His work melds genomics, big data, and both information technologies and digital health technologies to advance the promise of personalized medicine. He is the author of "Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again"
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Article "The Hidden Challenges of China’s Booming Medical AI Market"
At an estimated market size of RMB 20 billion in 2018, China’s medical artificial intelligence (AI) market promises vast opportunities for US companies with innovative AI products and solutions. Yet, businesses that do not have the foresight and resources to deal with complex regulatory challenges may struggle to thrive in this competitive market. If US companies want to succeed, they must position themselves strategically and mitigate regulatory risks through clever partnerships and targeted policy advocacy.

by Caroline Meinhardt
June 24, 2019
 
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Artificial Intelligence in cardiology: introduction to A.I.

Published on Aug 8, 2019

Mayo Clinic cardiologist Francisco Lopez-Jimenez, M.D., discusses artificial intelligence in cardiology.

Artificial Intelligence is the ability to make computers or machines learn to solve problems that would otherwise involve a human to do it. Artificial intelligence in medicine is used to diagnose many medical conditions.
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Artificial intelligence in medicine: Mayo Clinic Radio

Nov 9, 2019

On the Mayo Clinic Radio podcast, Dr. Bradley Erickson, a Mayo Clinic diagnostic radiologist, will discuss AI in medicine and society.

This interview originally aired Nov. 9, 2019.

When you think of artificial intelligence (AI), you might imagine what you see in the movies: robots, self-driving vehicles, and computers that think and act like humans. You might already be using AI every day when you ask Siri or Alexa for help. AI might be better described as machine learning or deep learning, and it is a fast-growing part of medicine, changing how health care providers treat patients. For example, AI is being used at Mayo Clinic to detect heart disease, treat stroke patients faster and create algorithms for diagnostic radiology.
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