Research

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.

Smartwatches and Fitness Bands Reveal Individual Physiological Responses to COVID-19 Vaccine

A new digital health study by researchers at Scripps Research shows how data from wearable sensors, such as smartwatches and fitness bands, can track a person’s physiological response to the COVID-19 vaccination.

The study, published in npj Digital Medicine, analyzed sensor data on sleep, activity and heart rate from over 5,600 individuals.

AI can Predict Probability of COVID-19 vs Flu Based on Symptoms

Testing shortages, long waits for results, and an over-taxed health care system have made headlines throughout the COVID-19 pandemic. These issues can be further exacerbated in small or rural communities in the US and globally. Additionally, respiratory symptoms of COVID-19 such as fever and cough are also associated with the flu, which complicates non-lab diagnoses during certain seasons.

An AI Model may Predict Elevated Pancreatic Cancer Risk Using EHR

An artificial intelligence (AI) model trained using sequential health information derived from electronic health records (EHR) identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 months, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

Research News

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

Smartwatches and Fitness Bands Reveal Individual Physiological Responses to COVID-19 Vaccine

AI can Predict Probability of COVID-19 vs Flu Based on Symptoms

An AI Model may Predict Elevated Pancreatic Cancer Risk Using EHR

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