Diagnostics

Researchers at the University of Southern California Viterbi School of Engineering have utilized machine learning to detect clusters of potential biomarkers of Alzheimer’s disease. This will allow for earlier diagnosis and could potentially lead to non-invasive methods of tracking the progression of the disease in impacted patients. Findings were published in the journal Frontiers in Aging NeuroScience.

Using an AI-based method, researchers at Cardiff University in Cardiff, Wales, developed a clinical prediction model, according to a study published in PLOS One. The model showed it can provide an accurate and reliable prognosis for patients with cardiovascular disease when compared to traditional methods.

Scientists at the University of Cambridge are developing a machine learning tool to better predict individuals’ long-term risk of developing cardiovascular disease (CVD)—specifically, heart attack or stroke. 

Google’s AI tool for diagnosing diabetic retinopathy is having trouble reading images while it's being tested in an Indian hospital, according to a report by The Wall Street Journal.

In order for AI technology to be safely incorporated into diagnostic and clinical decision support (CDS) software, stakeholders must first address its effectiveness and provide additional evidence for its usefulness in the clinical setting, according to Duke researchers.

Day Zero Diagnostics has raised $8.6 million in a Series A funding round to further develop a system that uses genome sequencing and machine learning to better diagnose infectious diseases.

Ruth Porat, chief financial officer of Google parent company Alphabet, said the company is making progress in breast cancer care thanks to AI, according to a report by CNBC.

Princeton researchers have developed a machine-learning method that could reduce the number of tests and improve the timing of critical treatments for intensive care unit patients.

Scientists at the University of Surrey in Guildford, England, developed a tool that uses machine learning to identify and treat urinary tract infections at early stages in dementia patients, according to a study published in PLOS One.

The radiology department at the Antwerp University Hospital in Belgium has incorporated an Aidoc tool that uses AI to help radiologists make faster diagnoses from CT scans, the university announced Wednesday, Jan. 16.

AI may be better at spotting cervical cancer and precancer after a study found a deep-learning algorithm was more accurate at recognizing the disease than human doctors.

AI applied to an electrocardiogram (EKG) test reliably detected asymptomatic left ventricular dysfunction (ALVD)—a precursor to heart failure—and predicted which patients were most at risk of developing the condition in the future, according to a Mayo Clinic study.