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Creating impact with AI in isolated communities
Manage episode 417496106 series 3571497
Shubs Upadhyay द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Shubs Upadhyay या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.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:
- Digital Solutions for Overcrowded Healthcare Facilities: Dino explores how digital health can alleviate pressure on healthcare systems.
- AI Tools in Healthcare: The role of AI and language models in enhancing diagnostic and conversational capabilities in healthcare settings.
- 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.
- Partnerships and Local Collaboration: How forming strong local partnerships contributes to the successful implementation of technology solutions in healthcare.
- 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.
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