Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative CT in Early ILD Detection

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This is a Literature Review study.

Joseph M Jacob; Anna J. Podolanczuk

doi:10.1164/rccm.202508-1946ed

August 22, 2025American Journal of Respiratory and Critical Care MedicineOpen Access

Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative CT in Early ILD Detection

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Key Points

Quantitative CT shows potential for early detection of interstitial lung disease, but pitfalls may complicate clinical application.
Key evidence indicates quantitative CT might enhance early diagnosis of ILD, improving treatment outcomes in lung disease.
Analysis reveals machine-learning techniques can refine quantitative CT scans, aiding in better detection of lung conditions.
Caution is advised in interpretation of CT data; further validation is needed in diverse clinical settings.

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Implication

Observational analysis emphasizes promise and pitfalls of quantitative CT in early ILD detection, suggesting a balanced approach is vital.

Abstract

"Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative CT in Early ILD Detection." American Journal of Respiratory and Critical Care Medicine, 0(ja), pp.

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Cite This Study

Jacob et al. (2025) studied this question.

synapsesocial.com/papers/68af59d2ad7bf08b1eade117 https://doi.org/10.1164/rccm.202508-1946ed

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Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative CT in Early ILD Detection

Key Points

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Implication

Abstract

Discussion

Cite This Study

Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative CT in Early ILD Detection

Key Points

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Implication

Abstract

Discussion

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