An imaging industry supplier best known for a widely adopted radiology reporting platform is partnering on radiological artificial intelligence with a company that pioneered GPUs and accelerated computing.Together the companies are aiming to put AI-based diagnostic tools “directly into the hands of radiologists and other clinicians at scale, enabling the delivery of improved patient care...

The healthcare industry has a lot of hope for machine learning solutions across patient care. However, there are many barriers to widespread adoption keeping machine learning from being implemented into clinical practice.

A new artificial intelligence (AI) model from researchers at MIT can detect Parkinson’s disease, a notoriously difficult disease to detect, through breathing patterns. The tool could help alleviate the disease onset gap between when symptoms of Parkinson’s first appear and when most people receive a diagnosis. The MIT team that developed the AI model uses...

A new analysis examines how artificial intelligence in medicine can impact clinical decisions and identifies the steps that could build more trust in machine learning models from doctors and patients.

Google Cloud enables the development of AI for imaging to support faster, more accurate diagnosis of images, increased productivity for healthcare workers, and improved care access and outcomes for patients.

An experimental drug has slowed the rate of decline in memory and thinking in people with early Alzheimer’s disease in what is being described as a “historic moment” for dementia treatment.

If the concept of a maternal-assisted caesarean – when the birthing mother reaches her gloved hands down to lift her baby out of her abdomen and on to her chest – is news to you, and perhaps slightly shocking, it shouldn’t be.

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...