by Stefan Milne, University of Washington Overview of BiomedParse and BiomedParseData. Credit: Nature Methods (2024). DOI: 10.1038/s41592-024-02499-w Artificial intelligence is making impressive strides in its ability to read medical images. In a recent test in Britain’s National Health Service, an AI tool looked at the mammograms of over 10,000 women and correctly identified which patients were found to have cancer....
Tag: <span>medical AI</span>
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Raising the Bar for Medical AI
Thought leaders, patient advocates develop guidelines for ethical use of AI in medicine. Medical research – artistic interpretation. From the invention of the wheel to the advent of the printing press to the splitting of the atom, history is replete with cautionary tales of new technologies emerging before humanity was ready to cope with them....
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Medical AI falters when assessing patients it hasn’t seen
Physicians rely on algorithms for personalized medicine — but an analysis of schizophrenia trials shows the tools fail to adapt to new data sets. Miryam Naddaf Scans showing brain activity during speech for a person with schizophrenia (bottom) and one without (top).Credit: Wellcome Centre Human Neuroimaging/Science Photo Library Computer algorithms that are designed to help...
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The promise—and pitfalls—of medical AI headed our way
by Corey Binns, Stanford University Overview of a GMAI model pipeline. a, A GMAI model is trained on multiple medical data modalities, through techniques such as self-supervised learning. To enable flexible interactions, data modalities such as images or data from EHRs can be paired with language, either in the form of text or speech data. Next,...