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David Oelen, Pascal Kaiser, Thomas Baumann | Ultraschall in der Medizin - European Journal of Ultrasound | (2020)
Primary Link Pubmed DOI Openalex

Key Takeaways

Plain English Takeaway

Computer programs that use deep learning can measure angles in baby hip ultrasound images more accurately than trained doctors can.

Study Aim

The main goal of this study is to compare how accurately trained physicians and a deep learning-based algorithm can measure angles in ultrasound images of newborn hips. The researchers want to find out if artificial intelligence can help doctors make better measurements in daily medical practice. Simply put: The study wants to see if computers can measure baby hip angles better than doctors.

Study Design

The researchers designed a study where both trained physicians and a deep learning-based algorithm measured angles in ultrasound images of newborn hips. The study compared the accuracy of the doctors' measurements with those made by the algorithm. The sample included ultrasound images taken during routine newborn hip screenings. The study focused on real-world conditions to reflect daily clinical practice. Simply put: The study compared how well doctors and a computer program measured angles in baby hip scans.

Findings

The study demonstrates that the deep learning-based algorithm was more accurate than trained physicians at measuring angles in newborn hip ultrasound images. The authors suggest that similar artificial intelligence methods could be used to support doctors in clinical settings. This could lead to more reliable diagnoses and better care for newborns. The findings imply that integrating deep learning tools into routine practice may improve measurement accuracy and support medical decision-making. Simply put: The computer program did a better job than doctors at measuring baby hip angles, so using this technology could help doctors do their jobs better.

Abstract

The accuracy of physicians in their daily routine is inferior to deep learning-based algorithms for determining angles in ultrasound of the newborn hip. Similar methods could be used to support physicians.

Referenced In

Mercedes C.
a month ago
AI Papers and Discussion

🍼 Why reading baby hip ultrasounds is harder than you think—and how AI is stepping in to help.

Ever had an ultrasound? Now imagine trying to get a perfect picture of a squirming infant's hip joint while they're crying and moving. That's the reality of screening for developmental dysplasia of the hip (DDH), a condition affecting 1–3% of babies that can cause lifelong disability if missed.

The problem? 🎯 Too few experts, too many babies, and results that vary wildly depending on who's holding the probe.

A new systematic review & meta-analysis by Azmi et al., 2026, just published in Pediatric Radiology, brings together the strongest evidence yet on AI-assisted infant hip ultrasound—and the results are promising:

🔍 Key Findings from Azmi et al. (2026):

  • High diagnostic accuracy: Pooled sensitivity 92% (95% CI 86–95%) and specificity 96% (95% CI 91–98%) across 9 studies with 6,351 hips

    • Compiled 29 studies but analysed only 9 who provided 2×2 data using bivariate random-effects model.

  • Fast to learn: Operators need only ~1–2 hours of training to use AI-assisted systems

  • Quicker scans: Acquisition times drop by 20–50%

🤩 Compared to other reviews like Bhavsar et al., 2025 & Kamath et al., 2026, this meta-analysis analysed raw imaging data rather than final statistical predictions, making this a promising census for DDH. The authors then close the discussion by calling for multi-centre trials - testing that spans across different hospitals and environments.

What's your take? Is AI ready to assist or even replace the expert eye?

Fun Fact🤓: The "Graf method" requires precise positioning and angle measurements that take years to master. Miss the angle by a few degrees, and you miss the diagnosis or even send healthy babies for unnecessary treatments.

  • A 2022 paper by Oelen et al., 2022 claims that AI precision outperforms trained physicians, with an error of 3.9° vs. physician error of 7.1° for alpha angles

If you'd like a comprehensive read on the current trends in paediatric orthopaedic disorders, check out this review on recent developments: Current Trends and Future Directions in the Diagnosis and Management of Pediatric Orthopedic Disorders

Image credit: kidshealth.org

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