Diagnostics

Researchers at the University of Lethbridge used AI to analyze blood biochemistry in smokers—and found smoking makes people biologically older. Results of the study were published in Scientific Reports.

Machine learning models could be used to help improve the prediction ability of emergency room (ER) triage methods, after a JAMA study showed the technology was better at making clinical predictions than traditional approaches.

A patent application filed by Google indicates that the company is looking to develop an electronic health records (EHR) system that uses AI to predict a patient’s future medical events.

With AI becoming more prevalent in medical practice, Dhruv Khullar, MD, a physician at New York-Presbyterian Hospital and assistant professor at Weill Cornell Medicine, detailed how AI is a contributor to the worsening of health disparities in a New York Times opinion piece.

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.