Cardiology

AI enables personalized treatment of myocarditis

Myocarditis (inflammation of the heart muscle) is usually caused by viruses, e.g., COVID-19. However, it can also be induced by medication, toxic substances or in the context of a rheumatological disease. Clinical assessment ...

Neuroscience

'Camouflage breakers' can find a target in less than a second

After looking for just one-twentieth of a second, experts in camouflage breaking can accurately detect not only that something is hidden in a scene, but precisely identify the camouflaged target, a skill set that can mean ...

Health informatics

Using the power of artificial intelligence to detect disease

A large international collaboration, led by A/Prof Xiu Ying Wang and Prof Manuel Graeber of the University of Sydney, has developed an innovative, advanced artificial intelligence (AI) application, PathoFusion, that could ...

Oncology & Cancer

Predicting breast cancer recurrences

A new tool combining traditional pathology with machine learning could predict which breast cancer patients actually need surgery. The technology, reported in the November issue of American Journal of Physiology—Cell Physiology, ...

Radiology & Imaging

Making sense of what you see in biomedical images

Recent years have seen dramatic improvements in imaging technologies that result in higher resolutions and faster acquisition times. Images of single cells, tissue and organs provide medical experts around the world with ...

Radiology & Imaging

Study suggests snap diagnoses may be more accurate

A pilot study conducted by a team of LSU Health New Orleans School of Medicine faculty has found that Snapchat is an effective tool to teach residents emergency radiology. The results are published online in Emergency Radiology ...

Radiology & Imaging

Digital mammography increases breast cancer detection

The shift from film to digital mammography increased the detection of breast cancer by 14 percent overall in the United Kingdom without increasing the recall rate, according to a major new study appearing in the journal Radiology.

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