
Paul Friedman
Articles
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2 weeks ago |
today.aom.org | Paul Friedman |Daniel Butcher |Kris Byron
Up next.... By Paul FriedmanThis year, the Trump administration has fired many government researchers, canceled scientific and medical research grants, and targeted leading universities, including Harvard, with debilitating funding freezes. Fear of reprisal has caused many scientists, doctors, professors, and university administrators to opt for silence instead of speaking up to defend the research that is getting the ax.
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Feb 4, 2025 |
nature.com | Demilade Adedinsewo |Bosede Afolabi |Oyewole A. Kushimo |Kehinde F. Ibiyemi |Hadijat Olaide Raji |Sadiq H. Ringim | +9 more
Correction to: Nature Medicine https://doi.org/10.1038/s41591-024-03243-9, published online 2 September 2024. In the version of this article initially published, the Acknowledgements did not include thanks to the Dalio Philanthropies. The error has been corrected in the HTML and PDF versions of the article.
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Nov 8, 2024 |
healio.com | Scott Buzby |Richard Smith |Paul Friedman |Patricia A. Pellikka
You've successfully added to your alerts. You will receive an email when new content is published. Click Here to Manage Email Alerts We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Key takeaways: Solicitation of clinician input during AI tool development often happens late stage, if at all.
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Nov 6, 2024 |
healio.com | Scott Buzby |Richard Smith |Paul Friedman |Dipti Itchhaporia
You've successfully added to your alerts. You will receive an email when new content is published. Click Here to Manage Email Alerts We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Key takeaways: Implementation science remains the largest challenges to widespread use of AI in medicine. Considerations for data security, patient preference for data sharing and regulatory labeling are key.
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Nov 4, 2024 |
healio.com | Scott Buzby |Richard Smith |Patricia A. Pellikka |Paul Friedman
You've successfully added to your alerts. You will receive an email when new content is published. Click Here to Manage Email Alerts We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Key takeaways: Guidance is emerging on the use of AI to improve CVD outcomes. AI has demonstrated potential in areas such as imaging and ECG interpretation, but outcomes data and interpretability are lacking.
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