S4: #037: Kevin Lyman on Deep Learning, Startup Competitions, and the Woz

S4: #037: Kevin Lyman on Deep Learning, Startup Competitions, and the Woz

Our guest in this episode is Kevin Lyman, an extremely talented entrepreneur and computer scientist based out in San Francisco. He’s worked at companies including Microsoft and SpaceX, and he’s even founded several companies as well. Now he’s applying his ability to create leading products to the healthcare sector- and he’s the COO and Lead Scientist for Enlitic, a startup that develops deep learning products to make doctors faster and more accurate. He’s going to help us break down some of the details and capabilities of Artificial Intelligence, and explain the differences between machine learning and deep learning. Don’t worry - you don’t have to be a computer scientist to understand it, but with so many terms floating around for a set of technologies that is on track to be the most significant development of our lifetime - we need to peel back the curtain a little bit to understand them a bit better. Then we get into how all this is making an impact on healthcare, and how people and organizations are collaborating to create and implement the solutions. Today's Topics: The data problems and opportunities facing health organizations The differences between AI, machine learning and deep learning Enlitic's approach to gets critics on board to support their products The regional differences that help drive the different responses to AI solutions Presenting to Steve “The Woz” Wozniak at Cube Tech Fair – and winning €1 million in the process Links and Resources Mentioned: Forbes Article: “U.S. Falls Behind China & Canada In Advancing Healthcare With A.I.” Enlitic Founder Jeremy Howard Contact Enlitic: info [at] enlitic.com Kevin Lyman on Linkedin Kevin Lyman on email: kevin [at] enlitic.com Kevin Lyman on Twitter Company website: https://www.enlitic.com Digital Health Events Join Digital Health Today Video: Enlitic Lung Cancer Screening Demo Chest X-Ray Population Screening Demo The wonderful and terrifying implications of computers that can learn I Jeremy Howard Learn more about your ad choices. Visit megaphone.fm/adchoices

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S13: #116: Empowering Women's Health through Access to Contraception in Low/Middle Income Countries

S13: #116: Empowering Women's Health through Access to Contraception in Low/Middle Income Countries

Women and girls in low/middle-income countries are facing an urgent unmet need for modern contraception. This World Contraception Day, join guest host Sophie Park, Managing Director at G4A Digital Hea...

26 Syys 202326min

S13: #115: CancerX Initiative Aims to Reduce Cancer Deaths by 50% by 2047

S13: #115: CancerX Initiative Aims to Reduce Cancer Deaths by 50% by 2047

The Digital Medicine Society (DiMe) and Moffitt Cancer Center have announced they are co-hosting CancerX, a new public-private partnership effort to rapidly accelerate the pace of cancer innovation in...

30 Maalis 202311min

Coffee Talk: Implementing Solutions for Health Systems with AmalgamRX

Coffee Talk: Implementing Solutions for Health Systems with AmalgamRX

In this coffee talk with AmalgamRX we dive into the challenges being faced by health systems as they work to assess, develop, and implement solutions at the time of a clinical decision. We'll explore ...

21 Joulu 202224min

Guest Host: The Progress and Promise of Predicting Complications in Pregnancy

Guest Host: The Progress and Promise of Predicting Complications in Pregnancy

I’m glad to be back on the mic and bringing you this special episode of Digital Health Today 360. Why is this episode special? Let me explain. One of the goals of the Digital Health Today channel is ...

12 Heinä 202223min

S12: #114: Who's Responsible for Ethical Decision Making? Promoting Trust in Technology and Healthcare

S12: #114: Who's Responsible for Ethical Decision Making? Promoting Trust in Technology and Healthcare

Technology is under the microscope, as are the behaviors of the people who develop and deploy it. As technology impacts virtually every aspect of society, it's use within the life sciences goes beyon...

1 Joulu 202127min

S12: #113: Jane Sarasohn-Kahn on Women's Health, Social Determinants of Health, and the 'She-cession'

S12: #113: Jane Sarasohn-Kahn on Women's Health, Social Determinants of Health, and the 'She-cession'

Guest host Sophie Park interviews health economist Jane Sarasohn-Kahn for this fast-paced discussion about women's health, social determinants of health and the 'she-cession' in the wake of the COVID-...

19 Elo 202128min

Coffee Talk: H2O - How the Health Outcomes Observatory Gives Patients Better Tools and Bigger Voices

Coffee Talk: H2O - How the Health Outcomes Observatory Gives Patients Better Tools and Bigger Voices

Every day, tech companies and governments frame the conversation around the use of data. With the proliferation of smartphones and wearable devices, online shopping, and home voice assistants, we leav...

3 Elo 202116min

Coffee Talk: Why is Digital Health Important to Biopharmaceutical Companies?

Coffee Talk: Why is Digital Health Important to Biopharmaceutical Companies?

The pandemic has illustrated how Social Determinants of Health (SDOH) can impact the spread of disease, access to vaccines and the levels of trust in and utilization of basic health services. Beyond t...

11 Kesä 202113min

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