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Articles by Mattia Madeo
From frailty-driven to frailty-informed care in the age of wearable AI
Abstract As populations age, frailty is increasingly monitored through wearable technologies capable of continuously capturing behavioral and physiological change. While these systems enable earlier detection of vulnerability, they also risk transforming probabilistic signals into rigid clinical thresholds. We propose a frailty-informed framework in which artificial intelligence (AI) augments, rather than replaces, clinical judgment.
Artificial Intelligence in Intensive Care Nursing: Signal Amplification and Epistemic Blind Spots
To the Editor, We read with great interest the recent qualitative study by Yildirim et al. exploring intensive care nurses' perceptions toward artificial intelligence technologies (Yildirim et al. 2026). The authors offer a timely and meaningful contribution to the ongoing integration of artificial intelligence in critical care, an environment increasingly characterized by technological complexity and evolving modes of clinical reasoning (Jiang et al. 2017; Topol 2019).
From Measuring to Protecting “Days at Home”: Toward Frailty-Informed Monitoring After Serious Health Events
To the Editor, We read with great interest the recent article by Gill and colleagues describing “days at home” as a patient-centered outcome following serious health events among community-living older persons [1]. By integrating survival, institutionalization, and hospitalization into a single measure, the authors illuminate an outcome that closely reflects what older adults consistently value: remaining alive, independent, and within the familiarity of their own homes.
Does Combining Dexmedetomidine and Esketamine Truly Improve Pediatric Premedication Outcomes?
M.Madeo, Z.Caroleo, E.Garofalo, and A.Bruni, “Does Combining Dexmedetomidine and Esketamine Truly Improve Pediatric Premedication Outcomes?,” Pediatric Anesthesia (2026): 1–2, https://doi.org/10.1002/pan.70192. No abstract is available for this article. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
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