ArticleDigital health
Feasibility of evaluating AI-enabled digital symptom monitoring in metastatic patients with NSCLC receiving pembrolizumab therapy: A German single-arm observational pilot study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
14 authors.
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Abstract
Introduction: Close symptom monitoring can benefit patients with metastatic nonsmall cell lung cancer (mNSCLC) receiving first-line therapy. Remote patient monitoring technologies, like the artificial intelligence (AI)-enabled Kaiku Methodology: The lung artificial intelligence-enabled digital solution pilot study ("Lung AID") assessed the feasibility of future studies on Kaiku Results: Over a 17-month enrollment period, 47 of 100 planned patients were enrolled in the study. Kaiku Discussion: High Kaiku Conclusion: While definitive conclusions on future studies cannot be drawn, the study offers key insights into challenges that should be considered in future research.
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