๐Ÿ›‘ 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

HEALTHCARE CONFERENCES

FEBRUARY 

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Until next time,

Kaushee