Google announced the release of MedLM, two foundational models built off Med-PaLM 2, designed to answer medical questions, generate insights from unstructured data and summarize medical information. The tech giant said that through piloting its…
Continue Reading
On Wednesday, Google introduced a new suite of healthcare-focused generative AI models designed to speed up workflows for clinicians and medical researchers.
The new offering, called MedLM, is built on Med-PaLM 2, Google’s medical AI…
No sensible clinician would ever allow a large language model to replace them at the bedside, but those who want to use these digital tools to supplement their decision making might benefit from prompt…
Continue Reading
What You Should Know:
– Fraser Health Authority, a healthcare organization in Canada, is set to become one of the first health systems worldwide to deploy generative AI for clinical documentation.
– This innovative initiative utilizes…
Continue Reading
A study done by Google Research in collaboration with Google DeepMind reveals the tech giant developed an LLM with conversational and collaborative capabilities that can provide an accurate differential diagnosis (DDx) and help improve…
Continue Reading
In the realm of healthcare, trust in AI looms as a significant challenge and an essential puzzle to solve. With technological advancements like ChatGPT and large language models (LLMs), the healthcare sector is brimming…
Continue Reading
Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives…
Continue Reading
The next public health pronouncement or clinical treatment might emerge from synthetic data: rows of totally invented people that contain no real data but reflects the actual characteristics of a population such as race,…
Continue Reading
The next public health pronouncement or clinical treatment might emerge from synthetic data: rows of totally invented people that contain no real data but reflects the actual characteristics of a population such as race,…
Continue Reading
Many areas of medicine would benefit from deeper, more accurate phenotyping, but there are limited approaches for phenotyping using clinical notes without substantial annotated data. Large language models (LLMs) have demonstrated immense potential to…
Continue Reading
