Research

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.

DMEA - Connecting Digital Health Opens with 500 Exhibitors and High-Profile Speakers

26 - 28 April 2022, Berlin, Germany.
What plans does the new federal government have concerning the digital transformation of the healthcare sector? What are the initial experiences of doctors regarding ePrescriptions? What can we learn from Israel in respect of digital health and the use of AI? These are just some of the questions that DMEA - Connecting Digital Health will be asking from 26 to 28 April. For two years Europe's leading health IT event took place in an entirely virtual format.

Using AI to Detect Cancer from Patient Data Securely

A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical scientists.

Artificial intelligence (AI) can analyse large amounts of data, such as images or trial results, and can identify patterns often undetectable by humans, making it highly valuable in speeding up disease detection, diagnosis and treatment.

Research News

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

DMEA - Connecting Digital Health Opens with 500 Exhibitors and High-Profile Speakers

Using AI to Detect Cancer from Patient Data Securely

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