AI4Health develops intelligent solutions for continuous monitoring, early diagnosis, and prevention. Powered by advanced wearable technologies, innovative sensors, and AI-driven algorithms, we transform physiological data into reliable, actionable clinical insights in real time.
AI4Health was founded as a spin-off of the University of Salerno, with the goal of bringing technological innovation to medical diagnostics and digital health. We design and develop advanced hardware and software systems for collecting, processing, and interpreting physiological data in real time—making healthcare more monitorable, understandable, and predictive.
Our mission is to enhance people’s quality of life through intelligent solutions that support clinicians, patients, and healthcare facilities.
We believe in a future where health monitoring is simple, continuous, non-invasive, and data-driven.
We design wearable technologies and integrated systems.
Wearable systems that integrate multiple sensors across the body to collect synchronized physiological and biomechanical data for more complete monitoring.
A combination of different sensor types (ECG, IMU, pressure, strain, etc.) working together to provide richer, multi‑dimensional insights.
Layered data processing pipelines that filter, extract features, and classify signals in real time for accurate, immediate feedback.
Sensors built with nano-scale and biocompatible materials to improve sensitivity, flexibility, and long‑term wearability.
Wireless charging systems designed to support devices operating continuously for several days without interruption.
We provide devices, platforms, and intelligent applications.
Continuous acquisition and analysis of vital physiological signals using advanced wearable sensors. Enables real‑time tracking of heart activity, respiration, sleep patterns, and other key health metrics.
Smart sensing technologies that capture gait, movement dynamics, and posture deviations with high precision. Provide insights for mobility assessment, fall‑risk evaluation, and musculoskeletal health.
AI‑driven analytics designed to detect early signs of dysfunction, asymmetries, or abnormal patterns. Supports proactive intervention and reduces the likelihood of chronic or acute health issues.
Data processing pipelines that translate raw signals into meaningful clinical indicators. Offer clinicians accurate, actionable information for diagnosis, treatment planning, and follow‑up.
Robust embedded systems tailored for medical workflows and clinical compliance. Improve efficiency, safety, and quality of care through automated monitoring and standardised assessments.
From sleep to motion and posture, our solutions deliver reliable data and actionable insights for clinicians and patients.
Advanced solution for continuous, real-time mobility monitoring of elderly individuals using smart insole technology and an IMU sensor. The system evaluates gait, fall risk, and potential neurodegenerative conditions.
Intelligent sleep monitoring solution based on a sensorized t‑shirt equipped with a single‑lead textile ECG electrode and a strain sensor for breath counting. Using the ECG signal, the system is able to detect sleep stages, apnea, continous blood pressure estimation.
Real-time posture recognition system designed to assess and detect kyphotic posture. Operates in app‑connected mode or stand‑alone mode with vibration alerts. We provide: Customizable detection window, User-defined posture thresholds, Sensitivity options for curvature and inclination in four directions. LiPo battery with ~2 days autonomy and 30‑minute fast charging via USB‑C.
Embedded system for evaluating compliance with the WHO 10‑step surgical hand‑washing procedure using depth-sensing technology. Easy installation in clinical environments.
Have questions or want to collaborate? Contact us by mail or phone—we’d be glad to connect.
We're here to discuss your vision and explore how we can bring it to life together.
