πŸ›‘ WHO Warns: Med AI Dangerous

Plus: What the global elite are saying about AI behind closed doors

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Welcome to your briefing:

  • AI ROUNDUP: What the global elite are saying about AI behind doors

  • INDUSTRY ROUNDUP: FDA finds new manufacturing lapses at Eli Lilly plant

  • INTERESTING READS: Tips for physicians transitioning to the business side of healthcare

  • AI INSIGHT: Ethics and Governance of AI for health

  • AI TRIVIA: Which AI-driven platform was used to identify existing drugs that could be repurposed to fight COVID-19 in early 2020?

AI ROUNDUP

  • What the global elite are saying about AI behind closed doors (Read More)

  • Medical AI could be dangerous for poorer nations, WHO warns (Read More)

  • Healthcare AI will move at the speed of trust: Elevance CEO (Read More)

  • Doctor uses Apple watch to help passenger on flight (Read More)

  • Smart speaker shows potential for better self-management of Type 2 diabetes (Read More)

  • Why gene editing technology may change the future of medicine (Read More)

  • AI system boosts diabetic eye exam completion rates among youth with diabetes (Read More)

  • RSNA publishes joint statement on use of AI tools in Radiology (Read More)

INDUSTRY ROUNDUP

  • US FDA finds new manufacturing lapses at Eli Lilly plant (Read More)

  • VA says nearly 50K veterans used emergency suicide prevention program in its first year (Read More)

  • Mayo Clinic launches telehealth access program for new GLP-1 weight-loss drugs (Read More)

  • Medicare Part D must start covering anti-obesity medications (Read More)

  • Nuance AI copilot is now integrated with Epic EHR (Read More)

  • New dementia-focused payment model emphasizes caregiver support (Read More)

INTERESTING READS

  • Tips for physicians transitioning to the business side of healthcare (Read More)

  • What to know about gas station heroin (Read More)

  • Mac at 40: User experience was the innovation that launched a technology revolution (Read More)

AI INSIGHT

In its latest publication, WHO provides a thoughtful exploration on Large Multi-Modal Models (LMMs), revealing their extensive potential in healthcare while advocating for robust ethical governance to ensure these powerful AI tools are used effectively and responsibly.

AI TRIVIA

Which AI-driven platform was used to identify existing drugs that could be repurposed to fight COVID-19 in early 2020?

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HEALTHCARE CONFERENCES

FEBRUARY 

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Until next time,

Kaushee

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