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...

Diabetes researchers say they have made a breakthrough that could pave the way to eliminating the need for daily insulin injections. The Monash University research, published in the Nature journal Signal Transduction and Targeted Therapy, could lead to the regeneration of insulin in pancreatic stem cells.

Source: AI researchers have started to show that there are ways to efficiently adapt AI training methods to changing environments or tasks, resulting in more robust agents. While AI still has a long way to go before anything like human-level intelligence is achieved, it hasn’t stopped the likes of Google, Facebook (Meta) and Amazon investing billions of dollars...

Source: A new observational study has found an association between the consumption of artificial sweeteners, such as aspartame and acesulfame-K, to cancer. The worldwide artificial sweetener market is estimated at $22.2 billion and rising, a nearly three-billion-dollar increase in the last 2 years alone.

Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet. Dave Pearson | Connected Care | AI in Healthcare