Development

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.

Telemedicine Visits Cut Health System Employee Care Costs by Nearly 25%

Visits with a 24/7, co-payment-free telemedicine program established by Penn Medicine for its employees were 23 percent less expensive than in-person visits for the same conditions, according to a new analysis published in the American Journal of Managed Care. Researchers at the Perelman School of Medicine at the University of Pennsylvania found that the per-visit costs for the telemedicine program,

AI Brings Hope for Patients with Lyosomal Storage Disease

Artificial intelligence (AI) is becoming increasingly important in drug discovery. Advances in the use of Big Data, learning algorithms and powerful computers have now enabled researchers at the University of Zurich (UZH) to better understand a serious metabolic disease.

Cystinosis is a rare lyosomal storage disorder affecting around 1 in 100,000 to 200,000 newborns worldwide.

Research and Development News

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

Telemedicine Visits Cut Health System Employee Care Costs by Nearly 25%

AI Brings Hope for Patients with Lyosomal Storage Disease

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