Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions. However, their responses often include inaccuracies; therefore, safety measures like medical…
Continue Reading
ASTP/ONC established the United States Core Data for Interoperability Plus Maternal Health (USCDI+ MH) as a core set of data necessary for use across the health care ecosystem to improve maternal health outcomes. USCDI+…
Continue Reading
ASTP/ONC established the United States Core Data for Interoperability Plus Maternal Health (USCDI+ MH) as a core set of data necessary for use across the health care ecosystem to improve maternal health outcomes. USCDI+…
Continue Reading
This paper aims to build a model that can Segment Anything in 3D medical images, driven by medical terminologies as Text prompts, termed as SAT. Our main contributions are three-fold: (i) We construct the…
Continue Reading
What You Should Know:
– Tempus AI, Inc., a technology company focused on advancing precision medicine with AI, has acquired Paige, an AI company specializing in digital pathology.
– The acquisition, valued at $81.25M, paid predominantly…
Continue Reading
What You Should Know:
– Doximity, a digital platform for U.S. medical professionals, has acquired Pathway Medical Inc., a Montreal-based startup specializing in medical AI and evidence-based clinical reference.
– The acquisition, valued at $26M in…
Continue Reading
Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair vision and social function. The subtle clinical signs of blepharospasm make early and accurate diagnosis difficult, delaying timely intervention. In this study,…
Continue Reading
Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification has been limited. We developed…
Continue Reading
The study assessed the feasibility of using synthetic data to fine-tune various open-source LLMs for free text to structured data conversation in radiology, comparing their performance with GPT models. A training set of 3000…
Continue Reading
Artificial intelligence applications in liver pathology remain limited, with existing tools either narrowly focused or lacking external validation. This study introduces HOTSPoT, an open-source, validated transformer-based model for automated segmentation of portal tracts in…
Continue Reading
