Healthcare is currently being revolutionised by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training.

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...

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk...

In a new proof-of-concept study led by Dr. Mark Walker at the uOttawa Faculty of Medicine, researchers are pioneering the use of a unique AI-based deep learning model as an assistive tool for the rapid and accurate reading of ultrasound images.

Heart disease is the leading cause of death in the U.S. Heart disease is so deadly in part because the heart, unlike other organs, cannot repair itself after injury. That is why tissue engineering, ultimately including the wholesale fabrication of an entire human heart for transplant, is so important for the future of cardiac medicine.