Mount Sinai Patients Receive Greater and Faster Access to Care With New Expanded Digital Tools

Mount Sinai Health System patients will experience greater access to care, fast identification of symptoms, efficient online search and connection to specialists, and easy appointment scheduling thanks to newly launched Digital Experience tools accessible on their smartphones or computers.

Create an independent body to regulate AI and prevent it from discriminating against disadvantaged groups

Qihang Lin, associate professor of business analytics at the University of Iowa’s Tippie College of Business, studies artificial intelligence and discrimination with a National Science Foundation grant. Based on his research, he believes an independent third-party organization must be created…

AI Used to Advance Drug Delivery System for Glaucoma and Other Chronic Diseases

Wilmer Eye Institute, Johns Hopkins Medicine researchers say they have used artificial intelligence models and machine-learning algorithms to successfully predict which components of amino acids that make up therapeutic proteins are most likely to safely deliver therapeutic drugs to animal eye cells.

How AI Can Help Design Drugs to Treat Opioid Addiction

ROCKVILLE, MD – Approximately three million Americans suffer from opioid use disorder, and every year more than 80,000 Americans die from overdoses. Opioid drugs, such as heroin, fentanyl, oxycodone and morphine, activate opioid receptors. Activating mu-opioid receptors leads to pain relief and euphoria, but also physical dependence and decreased breathing, the latter leading to death in the case of drug overdose.

AI Discovers New Nanostructures

UPTON, NY—Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale “ladder.

Artificial Intelligence Shown to More Rapidly and Objectively Determine Calcium Scores Than Physicians

A study published today in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging shows that artificial intelligence tools can more rapidly, and objectively, determine calcium scores in computed tomographic (CT) and positron emission tomographic (PET) images than physicians, even when obtained from very-low-radiation CT attenuation scans.

Late-Breaking Heart Research: AI More Accurate Than Technicians

In a first-of-its-kind randomized clinical trial led by researchers at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai, artificial intelligence (AI) proved more successful in assessing and diagnosing cardiac function when compared to echocardiogram assessments made by sonographers.

Black Patients Found Six Times More Likely to Have Advanced Vision Loss After Glaucoma Diagnosis Than White Patients

Black patients have a dramatically higher risk of advanced vision loss after a new diagnosis of primary open angle glaucoma (POAG) when compared to white patients, according to a new study from New York Eye and Ear Infirmary of Mount Sinai (NYEE).

Artificial Intelligence Analyzes Gut Microbiota of Fish to Detect Waters Compromised by Climate Change

Article title: Gut microbiota of wild fish as reporters of compromised aquatic environments sleuthed through machine learning Authors: John W. Turner Jr., Xi Cheng, Nilanjana Saferin, Ji-Youn Yeo, Tao Yang Bina Joe From the authors: “Overall, this study represents the…

DeepGI AI – A Thai Innovation for the Precision in Colorectal Polyp Detection

Chula Engineering and Chula Medicine co-invent an innovative device for a rapid gastrointestinal cancer detection that yields accurate results hoping to foster preventive medicine in gastrointestinal malignancy and reduce the number of cancer patients.

Study: App More Accurate Than Patient Evaluation of Stool Samples

An innovative mobile phone application was found to be as good as expert gastroenterologists at characterizing stool specimens, according to a study by Cedars-Sinai. The artificial intelligence (AI) used in the smartphone app also outperformed reports by patients describing their stool specimens.