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Heather Howard에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Heather Howard 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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AI in Health Care: Promise or Peril?

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Manage episode 438978813 series 3400168
Heather Howard에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Heather Howard 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This episode of the Princeton Pulse Podcast takes on one of the hottest topics in health care – and in Washington: the use and regulation of artificial intelligence, or AI.

Research suggests that AI could revolutionize the delivery of health care, from pinpointing cancers that are invisible to the human eye, to powering wearable devices that can detect abnormalities before a medical emergency occurs. In the simplest of terms, AI enables computers and machines to perform tasks like a human might. With the ability to analyze huge sets of data in a matter of seconds, it could help clinicians make better, faster, smarter decisions and lead to improved health outcomes.

But the use of AI is not without risk. There are profound ethical and regulatory issues at play. Host Heather Howard, a professor at Princeton University and former New Jersey Commissioner of Health, explores the promise and potential perils of AI with two advocates for effectively and responsibly incorporating new tools into our health care system. This episode features: Niraj Jha, an engineering professor at Princeton University, who is developing a software package that could enhance the reliability of medical diagnoses; and Representative David Schweikert from Arizona’s First Congressional District, a congressional leader on these issues.

The panel discusses how smartphones and smartwatches can serve as portable medical labs; the ways in which AI can support clinical and policy decision-making; mitigating risks related to accuracy, bias, privacy, and security; the potential for cost savings; and innovations that are on the cusp of virtually transforming health care in the United States and beyond.

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Read about Niraj Jha’s grant-funded project aimed at developing a software package to enhance the reliability of AI for medical diagnosis and other applications. This paper provides information about his research on counterfactual decision-making.

Read about the Healthy Technology Act, introduced by Congressman Schweikert, which qualifies AI and machine learning technologies as practitioners eligible to prescribe drugs. He also proposed legislation to establish reimbursement guidance for remote monitoring devices that use AI to treat patients.

The Princeton Pulse Podcast is a production of Princeton University's Center for Health and Wellbeing (CHW). The show is hosted by Heather Howard, a professor at Princeton University and former New Jersey Commissioner of Health and Senior Services, produced by Aimee Bronfeld, and edited by Alex Brownstein. You can subscribe to The Princeton Pulse Podcast on Apple Podcasts, Spotify, or wherever you enjoy your favorite podcasts.

  continue reading

15 에피소드

Artwork
icon공유
 
Manage episode 438978813 series 3400168
Heather Howard에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Heather Howard 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This episode of the Princeton Pulse Podcast takes on one of the hottest topics in health care – and in Washington: the use and regulation of artificial intelligence, or AI.

Research suggests that AI could revolutionize the delivery of health care, from pinpointing cancers that are invisible to the human eye, to powering wearable devices that can detect abnormalities before a medical emergency occurs. In the simplest of terms, AI enables computers and machines to perform tasks like a human might. With the ability to analyze huge sets of data in a matter of seconds, it could help clinicians make better, faster, smarter decisions and lead to improved health outcomes.

But the use of AI is not without risk. There are profound ethical and regulatory issues at play. Host Heather Howard, a professor at Princeton University and former New Jersey Commissioner of Health, explores the promise and potential perils of AI with two advocates for effectively and responsibly incorporating new tools into our health care system. This episode features: Niraj Jha, an engineering professor at Princeton University, who is developing a software package that could enhance the reliability of medical diagnoses; and Representative David Schweikert from Arizona’s First Congressional District, a congressional leader on these issues.

The panel discusses how smartphones and smartwatches can serve as portable medical labs; the ways in which AI can support clinical and policy decision-making; mitigating risks related to accuracy, bias, privacy, and security; the potential for cost savings; and innovations that are on the cusp of virtually transforming health care in the United States and beyond.

---

Read about Niraj Jha’s grant-funded project aimed at developing a software package to enhance the reliability of AI for medical diagnosis and other applications. This paper provides information about his research on counterfactual decision-making.

Read about the Healthy Technology Act, introduced by Congressman Schweikert, which qualifies AI and machine learning technologies as practitioners eligible to prescribe drugs. He also proposed legislation to establish reimbursement guidance for remote monitoring devices that use AI to treat patients.

The Princeton Pulse Podcast is a production of Princeton University's Center for Health and Wellbeing (CHW). The show is hosted by Heather Howard, a professor at Princeton University and former New Jersey Commissioner of Health and Senior Services, produced by Aimee Bronfeld, and edited by Alex Brownstein. You can subscribe to The Princeton Pulse Podcast on Apple Podcasts, Spotify, or wherever you enjoy your favorite podcasts.

  continue reading

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