ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2024
Enhancing Tonsillectomy Recovery with AI: A Comparative Study on Postoperative Care Outcomes.
Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Advances in Remote Monitoring Technology Applications in Anesthesia: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
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Abstract
Introduction: Tonsillectomy is commonly associated with significant postoperative challenges such as pain management, complication monitoring, and patient recovery. Traditional care methods, while effective, often do not adequately address these issues, particularly in personalized care and remote monitoring. This study assesses the impact of Artificial Intelligence (AI)-assisted postoperative care on recovery outcomes in tonsillectomy patients compared to conventional care methods. Methods: Conducted at a tertiary care hospital's Otolaryngology Department from January to December 2023, this observational cohort study involved 100 elective tonsillectomy patients. Participants were divided into two cohorts: one receiving traditional care and the other AI-assisted care, which utilized machine learning for pain management, continuous symptom monitoring through wearable devices, and virtual assistance. Results: AI-assisted care significantly improved early postoperative pain management, reducing pain scores to 5.2 ± 1.1 from 6.5 ± 1.2 in traditional care ( Supplementary Information: The online version contains supplementary material available at 10.1007/s12070-024-05103-x.
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