A new research paper published by Springer highlights BabyFM as a case study in AI-driven healthcare innovation in Southeast Europe. The study presents BabyFM’s wearable technology for continuous temperature monitoring in pediatric patients and reports clinical validation with measurement accuracy of ±0.1°C, while its AI-based fever detection achieved 91.2% accuracy and 89.4% sensitivity. The research also highlights BabyFM’s integration of clinical feedback, real-time alerts and AI-based thermal analysis.
https://link.springer.com/chapter/10.1007/978-3-032-24513-7_28
