More than 100,000 Australians are living with Parkinson’s disease, a condition that impacts movement, learning and behaviour. Researchers understand the disease is linked to low dopamine levels in the brain and plan to use that knowledge in a nation-first data-collection trial.

Australians have raided almost $1.6 billion from their retirement funds to pay for medical treatment in the past three years. The revelations have left health policy experts outraged that superannuation nest eggs are being used to fund life-changing treatment.

A research team led by Professor Park Sang-Hyun of the Department of Robotics and Mechatronics Engineering (also in charge of the Artificial Intelligence major) at DGIST (President Kuk Yang) developed a weakly supervised deep learning model that can accurately show the presence and location of cancer in pathological images based only on data where the...

Recently, researchers developed a new imaging method using magnetic resonance imaging (MRI) to assess placental health. They found that their new method could strongly predict pregnancy outcomes linked to placental insufficiency.

In patients undergoing echocardiographic evaluation of cardiac function, preliminary assessment by artificial intelligence (AI) is superior to initial sonographer assessment, according to late breaking research presented in a Hot Line session today at ESC Congress 2022.

Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of healthcare through machine learning (ML) and natural language processing (NLP). Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing...

What if a powerful tool could be created, using artificial intelligence (AI), that would help diagnose, predict and treat the disease process in a retina? That is the question T.Y. Alvin Liu, M.D., assistant professor of ophthalmology at Wilmer Eye Institute at the Johns Hopkins University School of Medicine and a retina specialist, has set out to answer.

A Nagoya University research group has developed an AI algorithm that accurately and quickly diagnoses idiopathic pulmonary fibrosis, a lung disease. The algorithm makes its diagnosis based only on information from non-invasive examinations, including lung images and medical information collected during daily medical care.

Lung cancer is the leading cause of cancer death worldwideTrusted Source and the third most commonTrusted Source cancer type in the United States. The disease is often treatable when diagnosed in its early stages. So, experts are constantly working on new ways to detect lung cancer as early as possible so that people can receive prompt treatment.

We are hopeful and passionate about pushing the boundaries of this research for the miniaturization of medical microrobots for future applications in clinics. Our ultimate aim is to overcome the challenges, which remain plenty. For example, we must develop strategies to navigate and control these microrobots inside the host body with high precision, taking body...