MedPaLM is an open-sourced large language model aligned to the medical domain.
This is surprising as only 61.9 percent of the long-form Flan-PaLM answers were deemed to be in line with doctor assessments. Meanwhile, only 5.8 percent of Med-PaLM answers were deemed to potentially contribute to negative consequences, compared to 6.5 percent of clinician-generated answers and 29.7 percent of Flan-PaLM answers. This means that Med-PaLM replies are much safer.This isn’t the first time Google ventured into AI-based healthcare.
to detect lung cancer in CT scans, performing as well as or better than trained radiologists, achieving just over 94 percent accuracy.for skin conditions on smartphones, which would allow every smartphone owner to have an idea of what their diagnosis might be. The app did not replace the role of a professional dermatologist, but it was a significant step forward for the field of AI healthcare.prototype to iCAD, a company that creates innovative medical equipment for cancer detection.
The two companies hoped to use their combined efforts and technology to improve patient care and create more treatment options. “iCAD and Google Health are united in our purpose-driven missions to elevate innovation, improve patient care, and optimize outcomes for all. By combining the power of our technologies and teams, we strengthen our fight against breast cancer and positively impact the lives of women and their loved ones across the globe,” said Stacey Stevens, president, and CEO of iCAD, at the time.
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