Valuable Public Health Use Cases for AI
AI can analyze massive, varied data sets — from sources such as electronic health records, demographic data, medical sensors, health journals and even social media — much faster…
Creating a More Open Data Ecosystem in Healthcare
Data silos in healthcare are synonymous with inefficiency. They require manual processes for accessing and sharing information — if not the literal act of putting hands on…
The European Health Data Space holds significant promise for transforming healthcare, research and innovation across Europe. The main objectives of the EHDS, which the European Commission launched in 2022, revolve around improving healthcare delivery,…
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Healthcare organizations use AI-driven tools as part of their clinical workflows to support decision-making and automation of administrative tasks, Shegewi says. In fact, a little more than half (50.8%) of U.S. healthcare providers plan…
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Artificial intelligence, and especially newer generative AI technology, is an incredibly powerful tool that may completely transform how business is conducted.
For example, generative AI can quickly comb the large language models and data sets…
Artificial intelligence promises to revolutionize mental health care, but small dataset sizes and lack of robust methods raise concerns about result generalizability. To provide insights on minimal necessary data set sizes, we explore domain-specific…
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What You Should Know:
– Mission Bio, a leader in single-cell multiomics solutions for precision medicine, today announced a collaboration with Dr. C. Ola Landgren, MD, PhD, head of one of the world’s leading myeloma computational…
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Medical Testing in AI : Introduction
Medical Testing in AI plays a vital role in promoting bias-free healthcare systems by addressing data gaps that could lead to disparities. Inequities in Medical Testing, particularly across racial…
What You Should Know:
– Pager Health, a connected health platform company serving more than 26 million members in the United States and Latin America, today announced the launch of ReallyWellSM.
– Combining clinical support, wellness services and…
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Many clinicians are well aware of the shortcomings of large language models like ChatGPT. Several studies suggest that retrieval-augmented generation, by tapping into more reliable data sets, can help address these problems.
By Paul Cerrato,…
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