Research

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.

Component for Brain-Inspired Computing

Compared with computers, the human brain is incredibly energy efficient. Scientists are therefore drawing on how the brain and its interconnected neurons function for inspiration in designing innovative computing technologies. They foresee that these brain-inspired computing systems, will be more energy efficient than conventional ones, as well as better at performing machine-learning tasks.

AI Model can Predict whether Crohn Disease will Recur After Surgery

Using an artificial intelligence (AI) tool that emulates how humans visualize and is trained to recognize and classify images, investigators constructed a model that predicts the postoperative recurrence of Crohn disease with high accuracy by evaluating histological images. The AI tool also revealed previously unrecognized differences in adipose cells and significant differences in the extent of mast cell infiltration in the subserosa, or outer lining of the intestine, comparing patients with and without disease recurrence.

Text Messaging Program Linked to Improved Lifestyle Risk Factors

A text messaging program successfully supported, informed and motivated people after a heart attack on how to prevent a second heart attack, according to new research published today in the American Heart Association’s flagship, peer-reviewed journal Circulation. Study participants showed minor improvements in healthy lifestyle measures after 12 months, although participants had no improvements in taking medications as prescribed.

Using AI to Analyze Large Amounts of Biological Data

Researchers at the University of Missouri are applying a form of artificial intelligence (AI) - previously used to analyze how National Basketball Association (NBA) players move their bodies - to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases.

AI-Enabled ECGs may Identify Patients at Greater Risk of Stroke, Cognitive Decline

Atrial fibrillation, the most common cardiac rhythm abnormality, has been linked to one-third of ischemic strokes, the most common type of stroke. But atrial fibrillation is underdiagnosed, partly because many patients are asymptomatic.

Artificial intelligence-enabled electrocardiography (ECG) was recently shown to identify the presence of brief episodes of atrial fibrillation, and the ability of an AI-enabled ECG algorithm to predict atrial fibrillation up to 10 years before clinical diagnosis has been confirmed in a population-based study conducted by Mayo Clinic researchers.

AI may Detect Earliest Signs of Pancreatic Cancer

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease. The findings, which may help prevent death through early detection of one of the most challenging cancers to treat, are published in the journal Cancer Biomarkers.

Research News

App More Accurate than Patient Evaluation of Stool Samples

Component for Brain-Inspired Computing

AI Model can Predict whether Crohn Disease will Recur After Surgery

Text Messaging Program Linked to Improved Lifestyle Risk Factors

Using AI to Analyze Large Amounts of Biological Data

AI-Enabled ECGs may Identify Patients at Greater Risk of Stroke, Cognitive Decline

AI may Detect Earliest Signs of Pancreatic Cancer

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