@SleeperMets@BNightengale Fried goes 7. Peralta goes 5. Therefore, 5/7 is 71.4% so he should only expect $155 mil over those 8 years or about $20 mil per year
@lawdog079@SNY_Mets Clearly you have not waited 40 years for a championship. I suspect you think the US citizens who play for their heritage countries are traitors.
A study in Nature determined that patient healthcare AI is not ready for use due to misinformation.
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Incentives drive outcomes. Profit alone does not drive patient safety. It requires guardrails.
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If AI verification requires human oversight for business articles, what does that tell us about healthcare—where errors do not just damage reputations but endanger lives?
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Healthcare companies use patient data to train their AI tools, yet the patients do not share in the profits. This equation must be revised to benefit patient care.
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Patients have legal rights to control how their data is used to train AI. They deserve compensation from for-profit entities.
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While the US retreats from regulating AI, EU’s Artificial Intelligence Act imposes rigorous requirements for data quality, technical documentation, transparency, and mandatory human oversight. Guardrails are necessary for healthcare AI.
An examination of why healthcare must establish its own trust, transparency, and human oversight frameworks for AI as federal guardrails weaken and synthetic content challenges how we determine what—and whom—to trust.
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AI can democratize medical knowledge just as the printing press democratized information. When patients and clinicians share a common language of health, trust grows — and care improves. #Healthcare#AIinHealthcare
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As 2025 ends, healthcare’s real AI progress was not hype — it was steady, foundation-building work that is now reshaping care in ways most patients never see. #Healthcare#AIinHealthcare
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Trust has always been the foundation of medicine — long before science or technology. Patients give trust freely because they believe caregivers will do what is right. 🩺 How we protect that trust now defines healthcare's future. #Healthcare#TrustInAI
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AI’s success will not be measured by code but by people.
Clinicians and patients must adapt before innovation becomes transformation.
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AI adoption succeeds when people lead.
Plan, train, and engage—AI augments care, it does not replace it.
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