Browsing Category
ARTIFICIAL INTELLIGENCE
AI models can be trained to distinguish brain tumors from healthy tissue
A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI models can already find…
Read More...
Read More...
AI explanations in radiology can lead to over-reliance
When making diagnostic decisions, radiologists and other physicians may rely too much on artificial intelligence (AI) when it points out a specific area of interest in an X-ray, according to a study published today in…
Read More...
Read More...
New framework ensures equity and inclusion in AI for health care
A recent study published in the Journal of Medical Internet Research introduced the EDAI framework, a comprehensive guideline designed to embed equity, diversity, and inclusion (EDI) principles throughout the artificial…
Read More...
Read More...
Study defines three subtypes of Chiari type-1 malformation to guide treatment
Roughly 4% of the population is affected by a congenital brain malformation that has eluded researchers' efforts to find causes and treatments. For the condition, Chiari type-1 malformation, the diagnosis is straightforward:…
Read More...
Read More...
Study shows AI can predict prognosis in triple-negative breast cancer
Researchers at Karolinska Institutet in Sweden have investigated how well different AI models can predict the prognosis of triple-negative breast cancer by analyzing certain immune cells inside the tumor. The study, published…
Read More...
Read More...
NIH develops AI algorithm to streamline clinical trial matching
Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials listed on…
Read More...
Read More...
Study identifies cost-effective strategies for using AI in health systems
A study by researchers at the Icahn School of Medicine at Mount Sinai has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost…
Read More...
Read More...
Innovative platform helps explore genetic links to 99 diseases
A new study introduces the Proteome-Wide Association Study Hub, an innovative and powerful tool designed to explore gene-disease connections across ninety-nine common diseases. Leveraging machine learning and statistical…
Read More...
Read More...
AI program enhances echocardiogram interpretation and reduces wait times
Using an artificial intelligence program to read echocardiograms may reduce the wait time for results and help lead to more timely medical care, according to late-breaking science presented today at the American Heart…
Read More...
Read More...
AI algorithm accurately detects early-stage metabolic-associated steatotic liver disease
Liver disease, which is treatable when discovered early, often goes undetected until late stages, but a new study revealed that an algorithm fueled by artificial intelligence can accurately detect early-stage…
Read More...
Read More...