Taking a page from market research tactics, UC San Francisco experts are studying whether artificial intelligence (AI) can ...
UCSF researchers are studying whether large language models, a type of artificial intelligence (AI), can analyze the clinical notes of multiple physicians and other care providers to improve the ...
Telemedicine and Artificial Intelligence: Itaca Introduces Automatic Clinical Notes from Video Calls
Telemedicine has become a regular part of medical practice since the COVID-19 pandemic and now plays an essential role across multiple specialties. Itaca, a medical AI platform, responds to the ...
A recent study found clinical notes could be used to identify fatigued physicians. The study, published July 1 in Nature, used data from 129,228 ED visits to a single academic medical center over 2010 ...
Healthcare providers spend many hours every week writing clinical notes to document patient visits. Kwindla Hultman Kramer, cofounder and CEO at Daily, developer of WebRTC, an open-source tool for ...
The first fully automatic clinical documentation application powered by OpenAI's GPT-4 is scheduled to be widely released later this year, Nuance and Microsoft announced. This latest artificial ...
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Transforming precision oncology with medical imaging foundation models
Medical imaging foundation models are ushering in a new era for precision oncology. By integrating massive multimodal ...
NEW YORK CITY -- Clinical notes for patients with substance use disorder (SUD) contained stigmatizing language -- such as "junkie," "dirty user," and "this drunk" -- on a regular basis, according to a ...
In a recent study published in npj Digital Medicine, researchers evaluated ChatGPT's ability to extract structured data from unstructured clinical notes. Study: A critical assessment of using ChatGPT ...
A Pittsburgh artificial intelligence startup emerging as a challenger to Microsoft’s clinical note taking business has raised $150 million, a rare mega deal in a funding lull. The startup, Abridge, ...
This was a retrospective analysis of 230,325 clinical notes from 5,285 patients treated with radiotherapy from 2007 to 2019. We compared linguistic features among White versus non-White, low-income ...
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