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Creating impact with AI in isolated communities

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Manage episode 417496106 series 3571497
内容由Shubs Upadhyay提供。所有播客内容(包括剧集、图形和播客描述)均由 Shubs Upadhyay 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Podcast Title: Global Perspectives on Digital Health
Episode Title: Impact of LLMs in HIV and Rapid Diagnostic Tests
Guest: Dino Rech, CEO at Audere

Introduction:
In this episode, Dino, a pioneer in the digital health landscape, shares his insights on how digital solutions and AI are revolutionizing the healthcare industry. He discusses the critical challenges such as overcrowded healthcare facilities and the urgent need for support for healthcare professionals. Dino’s extensive work at Audere focuses on utilizing digital tools to improve healthcare delivery and outcomes, particularly in underserved communities.


Key Topics Discussed:

  1. Digital Solutions for Overcrowded Healthcare Facilities: Dino explores how digital health can alleviate pressure on healthcare systems.
  2. AI Tools in Healthcare: The role of AI and language models in enhancing diagnostic and conversational capabilities in healthcare settings.
  3. Building Trust and Reliability: The importance of trust in technology, especially large language models, and how it's achieved through rigorous data handling and prompt engineering.
  4. Partnerships and Local Collaboration: How forming strong local partnerships contributes to the successful implementation of technology solutions in healthcare.
  5. Regulatory Support and Technology Verification: The necessity of regulatory backing in ensuring the safety and efficacy of new technologies.


Impactful Insights:

  • Improving access to rapid diagnostic testing through digital tools and AI.
  • Enhancing patient-provider conversations with advanced language models to make healthcare more accessible and efficient.
  • The significance of trust, reliability, and local partnerships in implementing successful digital health solutions.
  • Utilization of specific data sets and prompt engineering to enhance the accuracy and relevance of responses from large language models.
  • The role of specialization and niche focus in addressing particular healthcare and technology challenges.

Links

  continue reading

5集单集

Artwork
icon分享
 
Manage episode 417496106 series 3571497
内容由Shubs Upadhyay提供。所有播客内容(包括剧集、图形和播客描述)均由 Shubs Upadhyay 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Podcast Title: Global Perspectives on Digital Health
Episode Title: Impact of LLMs in HIV and Rapid Diagnostic Tests
Guest: Dino Rech, CEO at Audere

Introduction:
In this episode, Dino, a pioneer in the digital health landscape, shares his insights on how digital solutions and AI are revolutionizing the healthcare industry. He discusses the critical challenges such as overcrowded healthcare facilities and the urgent need for support for healthcare professionals. Dino’s extensive work at Audere focuses on utilizing digital tools to improve healthcare delivery and outcomes, particularly in underserved communities.


Key Topics Discussed:

  1. Digital Solutions for Overcrowded Healthcare Facilities: Dino explores how digital health can alleviate pressure on healthcare systems.
  2. AI Tools in Healthcare: The role of AI and language models in enhancing diagnostic and conversational capabilities in healthcare settings.
  3. Building Trust and Reliability: The importance of trust in technology, especially large language models, and how it's achieved through rigorous data handling and prompt engineering.
  4. Partnerships and Local Collaboration: How forming strong local partnerships contributes to the successful implementation of technology solutions in healthcare.
  5. Regulatory Support and Technology Verification: The necessity of regulatory backing in ensuring the safety and efficacy of new technologies.


Impactful Insights:

  • Improving access to rapid diagnostic testing through digital tools and AI.
  • Enhancing patient-provider conversations with advanced language models to make healthcare more accessible and efficient.
  • The significance of trust, reliability, and local partnerships in implementing successful digital health solutions.
  • Utilization of specific data sets and prompt engineering to enhance the accuracy and relevance of responses from large language models.
  • The role of specialization and niche focus in addressing particular healthcare and technology challenges.

Links

  continue reading

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