One in four U.S. adults — the equivalent of over 66 million Americans — report having used artificial intelligence tools or chatbots for physical or mental healthcare information… read more.
AI-enabled medical devices promise improved medical care and support for healthcare professionals. However, the safety and performance of such systems not only depends on algorithms or technical specifications…. read more.
Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by… read more.
The use of artificial intelligence (AI) tools, spearheaded by generative AI, is expanding into various spheres of society, including the labour market. A study conducted by the Universitat Oberta de… read more.
As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai… read more.
Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial intelligence… read more.
A world-first review led by Adelaide University researchers has found there’s a lack of clear guidelines around the early testing of AI tools in health clinics, during a… read more.
After developing an AI tool that recommends antidepressants based on medical history, George Mason University researchers are now examining whether additional patient demographics, such as race and ethnicity, can improve the… read more.
A new AI-powered model has been shown to advance treatment planning for spinal metastasis by calculating patients’ chances of survival. Doctors can then make informed decisions about, for… read more.
The European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) have jointly published a set of ten principles for the ‘good use’ of artificial intelligence… read more.
A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an artificial intelligence (AI)–based noninvasive tool that can predict the likelihood that a… read more.
A new AI model could help radiologists identify brain abnormalities in MRI scans for all conditions including stroke, multiple sclerosis and brain tumours. The study, led by researchers at King’s… read more.
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