Research

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.

AI Helps Physicians Better Assess the Effectiveness of Bladder Cancer Treatment

In a small but multi-institutional study, an artificial intelligence (AI)-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder removal surgery).

Yet the researchers caution that AI isn't a replacement for human expertise and that their tool shouldn’t be used as such.

AI Reduces Miss Rate of Precancerous Polyps in Colorectal Cancer Screening

Artificial intelligence reduced by twofold the rate at which precancerous polyps were missed in colorectal cancer screening, reported a team of international researchers led by Mayo Clinic. The study is published in Gastroenterology.

Most colon polyps are harmless, but some over time develop into colon or rectal cancer, which can be fatal if found in its later stages.

Research News

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

AI Helps Physicians Better Assess the Effectiveness of Bladder Cancer Treatment

AI Reduces Miss Rate of Precancerous Polyps in Colorectal Cancer Screening

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