Imaging Informatics

GPT-4V flops on RSNA ‘Case of the Day’ questions

By Will Morton

National Institutes of Health (NIH) investigators have found that GPT-4 Vision in its current form is not able to reliably interpret radiologic images.

October 4, 2024

DWI-MRI technique improves breast lesion characterization

By Kate Madden Yee

A breast-specific diffusion-weighted imaging (DWI)-MRI technique is effective for distinguishing between breast lesion types, a new study has found.

September 23, 2024

RANZCR urges radiology AI oversight

By AuntMinnieEurope.com staff writers

The Royal Australian and New Zealand College of Radiologists (RANZCR) has published two position statements on the use of autonomous and generative AI in clinical settings.

September 10, 2024

Will AI and WFH prove to be radiology's Scylla & Charybdis?

By Dr. Paul Dubbins

The twin benefits of AI and working from home (WFH) should be carefully managed to ensure that professional isolation doesn't consume us and that we aren't lost in the maelstrom of AI, writes Dr. Paul Dubbins.

September 3, 2024

AMRA Medical secures EU MDR certificate

By AuntMinnie.com staff writers

AMRA Medical has secured a Medical Device Regulation (MDR) certificate in Europe for its Profiler 4 MRI-based body composition analysis software.

August 30, 2024

Philips debuts new AI technology at ESC 2024

By AuntMinnieEurope.com staff writers

Royal Philips will debut its latest AI-enabled cardiovascular ultrasound platform at the European Society of Cardiology (ESC) 2024 Congress.

August 29, 2024

Ultrasound-based model performs well in predicting breast tumor status

By Amerigo Allegretto

An ultrasound-based deep learning radiomics nomogram model performed well in predicting tumor status and lymph node metastasis in breast cancer patients.

August 28, 2024

Can open-source software make the grade in radiology?

By Erik L. Ridley

An open-source large language model can offer comparable performance to proprietary models, a German research group says.

August 16, 2024

Survey pinpoints evolving trends in training needs and habits

By Edna Astbury-Ward, PhD

A large European survey has found live educational events remain as popular as ever, but e-learning is poised for continued growth, particularly among younger colleagues.

August 8, 2024

Is it time for radiology to rethink its approach to AI?

By Philip Ward

Radiology's relationship with AI must be a balanced and considered partnership that enhances human abilities to provide better healthcare, according to a commentary by top researcher Dr. Susan Shelmerdine, PhD.

August 6, 2024

Shelmerdine: Think about youngsters when it comes to AI

By Amerigo Allegretto

AI developers and the medical imaging community need to give much more thought to the views, perceptions, and needs of younger people, urges radiologist and researcher Dr. Susan Shelmerdine.

July 17, 2024

AI assists evaluations of knee osteoarthritis on x-rays

By Will Morton

A Danish-led study found a commercially available AI algorithm improved the performance of junior radiologists when grading knee osteoarthritis on x-rays.

July 12, 2024

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