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artificial intelligence healthcare industry digest

Prompts matter: How input elements affect large language model performance

Just like radiologists, the performance of large language models improves when given proper context.

Not all lead glasses provide adequate radiation protection.

Not all lead glasses are created equal

Higher lead content does not always necessarily equate to greater protection, authors of a new analysis caution.

Dementia cases are about to skyrocket—how will this affect imaging demand?

Recent projections could create an environment of unprecedented demand for nuclear imaging.

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

MRI of knee with Osgood-Schlatter Disease

MRI scoring system simplifies diagnosis of common adolescent ortho issue

The condition can worsen with physical activity, which is why an accurate and timely diagnosis is important for healthy growth.

birth control the pill cardiovascular disease blood clots side effects

Researcher scans herself 75 times to study effects of birth control on brain health

The postdoctoral research fellow hopes her research will provide greater insight into how the use of oral birth control impacts physical and mental health.

Innovation at work

Radiology Business

Bayer: Helping Customers Sustain Patient Care Amid Market Disruptions

As radiology departments across the US continue to navigate the complexities of the current imaging market, including disruptions in supply chains and increased demand for CT contrast media, one constant remains: the need for reliable, quality supply partners to help sustain patient care.

Around the web

Cardiovascular Business

AI turns mammograms into CVD risk assessments—no outside data required

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.