Aalpen Patel's guest appearances

Aalpen Patel

Finding Genius Podcast

The Harry Glorikian Show

Michael Snyder

Sharon Terry

Ardy Arianpour

Beth Israel

Marco Peereboom

Megan Ramos

Danny Flood

Abel James

Nir Eyal

Perry Marshall

Scott Young

Ben Goertzel

Steven Kotler

Ross Taylor

Scott Smith

OwlTail

What if we could use machine learning to train software to read CT scans of patients with intracranial hemorrhaging? Time to diagnosis could be doubled, potentially saving lives. This week Harry discusses such questions with Dr. Aalpen Patel, a physician-engineer who chairs Geisinger's department of radiology and directs is 3D imaging and printing laboratory.This episode is the first in a two-part series on getting AI, machine learning, and analytics working in the healthcare provider setting, recorded as part of the AI World conference produced by Cambridge Innovation Institute in Boston in December 2018.You can read a full transcript of this episode and browse all of our other episodes at glorikian.com/podcast.Please rate and review The Harry Glorikian Show on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac.2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings &amp; Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars.6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner.8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out.9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.

What if we could use machine learning to train software to read CT scans of patients with intracranial hemorrhaging? Time to diagnosis could be doubled, potentially saving lives. This week Harry discusses such questions with Dr. Aalpen Patel, a physician-engineer who chairs Geisinger's department of radiology and directs is 3D imaging and printing laboratory.This episode is the first in a two-part series on getting AI, machine learning, and analytics working in the healthcare provider setting, recorded as part of the AI World conference produced by Cambridge Innovation Institute in Boston in December 2018.You can read a <a href="https://glorikian.com/ai-world-series-aalpen-patel-from-geisinger-and-sandy-aronson-from-partners-healthcare-talk-implementation-of-ai-tools-for-providers/" rel="nofollow" target="_blank">full transcript of this episode</a> and browse all of our other episodes at <a href="https://glorikian.com/podcast/" rel="nofollow" target="_blank">glorikian.com/podcast</a>.Please rate and review <a href="https://podcasts.apple.com/us/podcast/the-harry-glorikian-show/id1435939790" rel="nofollow" target="_blank">The Harry Glorikian Show on Apple Podcasts</a>! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac.2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings &amp; Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars.6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner.8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out.9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.

Aalpen Patel and Using AI to Reduce Time-to-Diagnosis (AI World Special Series Part 1)

A shortage of about 100,000 physicians is expected in the US by the year 2025, which will force many people into long waiting periods and delays in the detection and treatment of potentially life-threatening conditions. In terms of providing health care in a timely manner to the growing population, we are reaching the limits of human capacity. So, where do we turn? According to the team at Geisinger, the answer is machines. Brandon K. Fornwalt, MD, PhD, and associate professor and director of the Geisinger Department of Imaging Science and Innovation, and Aalpen Patel, MD and Chair of the Geisinger System of Radiology join the podcast to discuss the problems with the current system of medicine and diagnostic imaging, how the implementation of machines and machine learning can help, and the specific projects they’re working on to improve patient outcomes and help physicians to be more efficient. In a recent project, the team at Geisinger trained a computer model to predict death in patients by using over 700,000 videos of the heart. The result? The machine made predictions with an accuracy level far superior to that of clinicians, allowing for early intervention for heart attack and stroke. Tune in for a compelling discussion, detailed description of other projects in the works, and Geisinger’s long-term goals. To learn more, check out geisinger.org.

A shortage of about 100,000 physicians is expected in the US by the year 2025, which will force many people into long waiting periods and delays in the detection and treatment of potentially life-threatening conditions. In terms of providing health care in a timely manner to the growing population, we are reaching the limits of human capacity. So, where do we turn? According to the team at Geisinger, the answer is machines. Brandon K. Fornwalt, MD, PhD, and associate professor and director of the Geisinger Department of Imaging Science and Innovation, and Aalpen Patel, MD and Chair of the Geisinger System of Radiology join the podcast to discuss the problems with the current system of medicine and diagnostic imaging, how the implementation of machines and machine learning can help, and the specific projects they’re working on to improve patient outcomes and help physicians to be more efficient. In a recent project, the team at Geisinger trained a computer model to predict death in patients by using over 700,000 videos of the heart. The result? The machine made predictions with an accuracy level far superior to that of clinicians, allowing for early intervention for heart attack and stroke. Tune in for a compelling discussion, detailed description of other projects in the works, and Geisinger’s long-term goals. To learn more, check out <a href="http://geisinger.org/" rel="nofollow" target="_blank">geisinger.org</a>.

Earlier Detection and Accurate Predictions of Life-Threatening Conditions Using Machine Learning—Brandon K. Fornwalt and Aalpen Patel—Geisinger Department of Imaging Science and Innovation