Research

NIH-Developed AI Algorithm Successfully Matches Potential Volunteers to Clinical Trials Release

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 ClinicalTrials.gov. A study published in Nature Communications found that the AI algorithm, called TrialGPT, could successfully identify relevant clinical trials for which a person is eligible and provide a summary that clearly explains how that person meets the criteria for study enrollment.

In 10 Seconds, an AI Model Detects Cancerous Brain Tumor often Missed During Surgery

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains, a study published in Nature suggests.

The technology, called FastGlioma, outperformed conventional methods for identifying what remains of a tumor by a wide margin, according to the research team led by University of Michigan and University of California San Francisco.

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when compared with the use of usual resources.

The study, from UVA Health’s Andrew S. Parsons, MD, MPH and colleagues, enlisted 50 physicians in family medicine, internal medicine and emergency medicine to put Chat GPT Plus to the test.

AI Analysis of PET/CT Images can Predict Side Effects of Immunotherapy in Lung Cancer

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious side effect of immunotherapy in lung cancer.

Immunotherapy has dramatically improved the treatment outcomes of primary lung cancer; however, it sometimes causes a serious side effect called interstitial lung disease.

New Medical AI Tool Identifies more Cases of Long COVID from Patient Health Records

Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can encompass a litany of enduring symptoms, including fatigue, chronic cough, and brain fog after infection from SARS-CoV-2. The results, which are published in the journal Med, could identify more people who should be receiving care for this potentially debilitating condition. The number of cases they identified also suggests that the prevalence of long COVID could be greatly underrecognized.

A "Chemical ChatGPT" for New Medications

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical structures of compounds with known dual-target activity that may be particularly effective medications. The study has now been published in Cell Reports Physical Science.

AI for Real-Rime, Patient-Focused Insight

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT.

Covered recently in the prestigious journal Nature Medicine, BiomedGPT is a new a new type of artificial intelligence (AI) designed to support a wide range of medical and scientific tasks.

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