AI in Clinical Practice & Cardiology, Ft. Cardiogram & Forward.
SVAI's October event features two ex-Google engineers who went on to apply AI/ML to cardiology and, start a new kind of doctor’s office. Avesh Singh will talk about how Cardiogram is using deep learning to detect signs of heart disease from the Apple Watch. Erik Frey will talk about the challenges he’s encountered applying AI/ML to expert systems in his previous roles, and and what he's doing different at Forward.
Announcements:
Google's Launchpad AI Studio is focusing it's first cohort on AI Healthcare startups! Applications are closed, however, if you are interested in being part of this program please get in touch with us before Oct. 1st and we can introduce you. Email Pete & Keren at hello@sv.ai.
Note: By signing up for this event, you will automatically be added to future SVAI announcements.
SPEAKERS:
Avesh Singh
ML Engineer at Cardiogram, Carnegie Mellon University.
Twitter LinkedIn
I'm the 1st ML engineering hire, and my work is focused on DNN model training, data generation, and database work. About Cardiogram: Cardiogram uses deep learning to detect signs of heart disease from the Apple Watch. We're building a personal healthcare companion. In a clinical study with UCSF Cardiology, our deep neural network achieved a 97% accuracy (AUC) in detecting the most common heart arthythmia on a set of patients coming into the hospital.
Erik Frey
Co-Founder at Forward, ex-Special Projects at Google, ex-Head of Data Science at Wavii, New Mexico Institute of Mining and Technology.
Twitter LinkedIn
Most clinical AI systems are modeled from static datasets to approximate some small part of a clinician's decision process or operational flow. Forward took a very different approach: it started with the doctor instead of the data, systematized and decomposed the doctor's whole thought process, and automated that system instead. Erik Frey, Forward's head of engineering, will talk about Forward's AI platform, how it was inspired by various ML projects he ran at Google, and the lessons learned along the way.
FORMAT:
Two ~25 Minute talks + Q&A.
AGENDA:
18.00: Doors Open
18.40: Welcome!
18.45: Talks + Q&A
20.00: Make Some New Friends
21.30: Doors Close
LIVE STREAM:
We will be Live Streaming this event from our Facebook Group.
SPONSOR:
TECHNICAL LEVEL:
Cardiogram's talk will be 50% Technical. Forward's talk will focus more on challenges and lessons learned.
VENUE:
Cardiogram
TRANSPORTATION:
Cal Train: 1.5 miles from 4th & King CalTrain Station
BART: 0.5 miles from 16th & Mission BART (9 min walk)
Parking: Some street parking available.
FOOD & DRINKS:
TBD
----Standard Event Disclosures----
We have a pretty thorough FAQ, please check it out here: FAQ.
CODE OF CONDUCT:
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers. For full version, please see: confcodeofconduct.com.
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COMMUNICATIONS:
By signing up for this event, you will automatically be added to future SVAI announcements.
PROMOTIONS:
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IMPORTANT:
This gathering is limited to 60 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby. Questions or comments? Tweet to us @SVAIresearch.