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Artificial Intelligence-Driven Wireless Sensing for Health Management.

Merih Deniz Toruner¹, Victoria Shi², John Sollee¹

¹The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA.

Bioengineering (Basel, Switzerland)

|March 28, 2025

Summary

Wireless sensing combined with artificial intelligence (AI) offers powerful tools for real-time health monitoring and early disease detection. These AI-powered wireless sensing technologies are poised to enhance clinical care and precision medicine.

Keywords:

artificial intelligence early diagnosis healthcare monitoring wireless sensing

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Area of Science:

Biomedical Engineering
Medical Informatics
Artificial Intelligence in Medicine

Background:

Technological advancements enable the integration of wireless sensing and artificial intelligence (AI) for real-time medical monitoring and intervention.
Wireless sensing devices are increasingly applied in healthcare for early diagnosis, patient monitoring, and assessing treatment response.

Purpose of the Study:

To review the latest advancements in wireless sensing devices incorporating AI for clinical medicine.
To analyze the strengths and limitations of these technologies across various medical domains.
To identify future research directions in AI-powered wireless sensing for healthcare.

Main Methods:

A comprehensive literature search was conducted across PubMed, IEEEXplore, Embase, and Scopus.
34 relevant articles focusing on real-world validation of wireless sensing were selected from 10,691 identified studies.
Analysis focused on clinical applications, strengths, limitations, and the value in precision medicine.

Main Results:

Wireless sensing and AI technologies show significant potential for improving diagnosis, treatment monitoring, and disease prevention.
Acoustic signals, channel state information, and radar are leading techniques for non-invasive physiological change detection.
The selected studies emphasize real-world validation and clinical applicability.

Conclusions:

Wireless sensing plays a crucial role in modern clinical care.
There is a growing trend towards integrating AI-powered wireless sensing into routine healthcare.
These technologies are expected to significantly support patient monitoring and diagnostic processes.