Research

Google & ChatGPT Have Mixed Results in Medical Information Queries

When you need accurate information about a serious illness, should you go to Google or ChatGPT?

An interdisciplinary study led by University of California, Riverside, computer scientists found that both internet information gathering services have strengths and weaknesses for people seeking information about Alzheimer's disease and other forms of dementia.

AI-Based Wastewater Sampling Predicts COVID Hospital Admissions

It is possible to accurately predict hospital admission numbers due to COVID-19 up to four weeks in advance using an Artificial Intelligence (AI) based system together with COVID wastewater sampling, new research shows.

The study, published in the journal Nature Communications, used wastewater data from 159 counties in the US, covering nearly 100 million Americans, along with US hospital admission records, to develop the prediction model.

Reinforcement Learning for Improved Performance of AI Explored

Artificial intelligence (AI) is already being used to diagnose skin cancer, but it cannot (yet) keep pace with the complex decision-making of doctors in practice. An international research team led by Harald Kittler of MedUni Vienna has now explored a learning method in which greater accuracy in AI results can be achieved by incorporating human decision-making criteria.

AI-Based System Developed by Lithuanian Researchers will Help People after Stroke

Statistics indicate that globally 1 in 4 adults over the age of 25 will have a stroke in their lifetime. One of the most serious consequences of this disease is disability. The joint study by Rytis Maskeliūnas, a researcher at Kaunas University of Technology, Faculty of Informatics (KTU IF), and Lithuanian researchers is focused on creating an artificial intelligence (AI)-based system that aims to facilitate the rehabilitation process.

AI Uses Lung CT Data to Predict Mortality Risk

Artificial intelligence (AI) can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

ChatGPT's Responses to People's Healthcare-Related Queries are Nearly Indistinguishable from those Provided by Humans

ChatGPT’s responses to people's healthcare-related queries are nearly indistinguishable from those provided by humans, a new study from NYU Tandon School of Engineering and Grossman School of Medicine reveals, suggesting the potential for chatbots to be effective allies to healthcare providers' communications with patients.

New Geometric Deep Learning Model for Detecting Stroke Lesions

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging techniques that allow them to visualize the interior of a patient's brain during a stroke. This helps them pinpoint the location of the clot and analyze the extent of damage to the brain tissue.

Research News

Google & ChatGPT Have Mixed Results in Medical Information Queries

AI-Based Wastewater Sampling Predicts COVID Hospital Admissions

Reinforcement Learning for Improved Performance of AI Explored

AI-Based System Developed by Lithuanian Researchers will Help People after Stroke

AI Uses Lung CT Data to Predict Mortality Risk

ChatGPT's Responses to People's Healthcare-Related Queries are Nearly Indistinguishable from those Provided by Humans

New Geometric Deep Learning Model for Detecting Stroke Lesions

More eHealth News ...

Latest Business News

Latest Research News

Latest Conferences News

Latest Jobs