Research

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.

AI Predicts if - and When - Someone will have Cardiac Arrest

A new artificial intelligence-based approach can predict, significantly more accurately than a doctor, if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac arrhythmias, one of medicine’s deadliest and most puzzling conditions.

Telemedicine can Mitigate Barriers for Access to Obesity Care, Weight Loss Management

Telemedicine offers emerging opportunities to reduce barriers to obesity care faced by healthcare providers, patients and health plans, according to a paper published online in Obesity, The Obesity Society’s flagship journal.

It has been estimated that by 2030 nearly 80% of adults in the United States will have pre-obesity or obesity.

Research News

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

AI Predicts if - and When - Someone will have Cardiac Arrest

Telemedicine can Mitigate Barriers for Access to Obesity Care, Weight Loss Management

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