Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review
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By
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Io Chi-Yan Hui
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Kathleena Condon
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Shailesh Kolekar
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Nicola J Roberts
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Katherina Bernadette Sreter
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Sami O Simons
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Carlos Figueiredo
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Zoe McKeough
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Hani Salim
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Aleksandra Gawlik-Lipinski
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Apolline Gonsard
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Ayşe Önal Aral
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Anna Vanoverschelde
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Matthew Armstrong
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Dario Kohlbrenner
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Cátia Paixão
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Patrick Stafler
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Efthymia Papadopoulou
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Adrian Paul Jaravata Rabe
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Milan Mohammad
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Izolde Bouloukaki
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Shirley Quach
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Georgios Kaltsakas
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Kate Loveys
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Tonje Reier-Nilsen
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Anthony Paulo Sunjaya
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Paul Robinson
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Michaela Senek
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Amy Hai Yan Chan
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Hilary Pinnock
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June 16, 2026
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0 min
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
