Research

AI Catches One-Third of Interval Breast Cancers Missed at Screening

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

Interval breast cancers - symptomatic cancers diagnosed within a period between regular screening mammography exams - tend to have poorer outcomes due to their more aggressive biology and rapid growth.

Researchers Create 'Virtual Scientists' to Solve Complex Biological Problems

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.

Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an AI principal investigator and seasoned scientists.

From WebMD to AI Chatbots: How Innovation has Empowered Patients to Take Control of their Health

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care system. The paper, titled "From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients," explores the symbiotic evolution of digital health tools and the increasingly engaged e-patient.

New AI Tool Accelerates mRNA-Based Treatments for Viruses, Cancers, Genetic Disorders

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various cell types. The new advance, developed through an academic-industrial partnership between The University of Texas at Austin and Sanofi, helps predict how much protein cells will produce, which can minimize the need for trial-and-error experimentation, accelerating the next generation of mRNA therapeutics.

Can Amazon Alexa or Google Home Help Detect Parkinson's?

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing neurological disability in the world. A study published in the journal npj Parkinson's Disease introduces a web-based screening test that asks users to recite two pangrams - short sentences using all 26 letters of the alphabet.

Free AI Tools can Help Doctors Read Medical Scans - Safely and Affordably

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more expensive commercial systems without putting patient privacy at risk.

The study was published in the journal npj Digital Medicine.

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in clinical settings. As such, they often qualify as medical devices and must comply with specific laws and regulatory frameworks. Recent decisions have shown that approval is possible for applications with narrowly defined tasks.

Research News

AI Catches One-Third of Interval Breast Cancers Missed at Screening

Researchers Create 'Virtual Scientists' to Solve Complex Biological Problems

From WebMD to AI Chatbots: How Innovation has Empowered Patients to Take Control of their Health

New AI Tool Accelerates mRNA-Based Treatments for Viruses, Cancers, Genetic Disorders

Can Amazon Alexa or Google Home Help Detect Parkinson's?

Free AI Tools can Help Doctors Read Medical Scans - Safely and Affordably

Autonomous AI Agents in Healthcare

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