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Radiologists less susceptible to visual illusions

AuntMinnie

To explore the issue further, the researchers compared responses to visual illusions among 44 experts in medical image interpretation (reporting radiographers, trainee radiologists, and certified radiologists) and a control group consisting of 107 psychology and medical students.

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Are Radiology Backlogs Putting Your Health System at Risk?

Aidoc

At seven days post-imaging, nearly half had unreported brain and chest CT scans, while 59% had unreported chest radiographs. Delayed imaging interpretation can extend inpatient stays, postpone treatment and lower patient satisfaction. Even at six months, about 20% of these studies remained unreported.

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AI and Machine Learning in Healthcare

Aidoc

Deep learning, a subset of machine learning, has significantly improved medical imaging analysis.

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Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

European Society of Radiology: AI

This study evaluates deep learning (DL) algorithms that are playing an increasingly important role in automatic medical image analysis. The DL algorithm used was trained and externally evaluated on open-source, multi-centre retrospective data that contained radiologist-annotated non-contrast CT head studies.

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Meet the Minnies 2024 semifinal candidates

AuntMinnie

tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Cognitive Motor Dissociation in Disorders of Consciousness.

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The John Henry Generation: The last of the radiologists, Part 2

AuntMinnie

Crossroads Amid these debates, we as radiologists stand at a crossroads: is the human element in imaging interpretation dispensable or indispensable? RadioGraphics. American College of Radiology. ACR Commission on Human Resources Workforce Survey. Harvey HB, et al. 2023;43(3):e230017. Society of Interventional Radiology.

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The John Henry Generation: The last of the radiologists, Part 1

AuntMinnie

Geoffrey Hinton, a key pioneer in deep learning, famously remarked in 2016 that we should stop training radiologists because machine learning might soon outperform them at image interpretation, with a time frame of five to 10 years. RadioGraphics. American College of Radiology. ACR Commission on Human Resources Workforce Survey.