Artificial intelligence is reshaping healthcare as clinicians use continuous data from wearables, including AI Wearables in Healthcare, to detect risks earlier, personalize care, and ease staff shortages, according to new clinical research published in August in Taiwan
Healthcare systems worldwide face mounting pressure from aging populations, chronic disease, and a shortage of trained professionals. Researchers and clinicians increasingly view AI-enabled monitoring as a way to shift care from reactive treatment to early intervention, improving outcomes while conserving resources.
A three-part series examining AI wearables in healthcare begins with continuous physiological monitoring, a foundation for data-driven decision-making. Wearable devices collect real-time information that can alert clinicians to subtle changes, allowing faster responses and more tailored care plans.
Wearables Bring Continuous Monitoring to Hospitals
In August 2025, Dr. Lin Huan-ran of Kaohsiung Medical University Hospital published a clinical study in the international medical journal Medicine examining acute ischemic stroke patients monitored with the ASUS VivoWatch. The research marked one of the first uses of a consumer wearable device in a clinical stroke study.
“Continuous monitoring fills critical gaps between routine checks,” Lin said. “It allows clinicians to see trends that would otherwise be missed and intervene before complications escalate.”
The study focused on patients in the critical period following stroke onset, when rapid physiological changes can signal secondary cardiovascular events or neurological decline. Traditional spot checks may miss these early warnings, researchers said.
Study Finds Reliable Data Without Disrupting Patients
According to the study, the VivoWatch uses electrocardiogram and photoplethysmography sensors to provide blood pressure analysis that meets international validation standards set by ANSI, AAMI, and ISO. Researchers reported minimal measurement differences between paralyzed and non-paralyzed arms, supporting the device’s clinical stability.
The wearable also collected blood oxygen levels, heart rate, and sleep patterns through continuous background monitoring. Researchers found the device did not disturb patients’ sleep, a key factor in neurological recovery.
“Sleep disruption can worsen outcomes after stroke,” Lin said. “Being able to monitor patients without interfering with rest is a significant advantage.”
Clinicians involved in the study said the breadth of data supported earlier identification of potential complications and more informed follow-up care. Continuous observation, they added, may help prevent secondary cardiovascular events that often occur days or weeks after the initial stroke.
Industry, Clinicians See Path to Smarter Care With AI Wearables in Healthcare
Healthcare experts say studies like this demonstrate how collaboration between hospitals and technology companies can validate whether new tools meet real clinical needs. The findings also underscore how AI systems depend on reliable, continuous data streams to deliver meaningful insights.
An ASUS spokesperson said the research highlights the growing role of wearables in medical settings. “Clinical validation is essential for building trust in digital health tools,” the spokesperson said. “Studies like this show how consumer technology can support professional care when used responsibly.”
While AI-driven monitoring is not a replacement for clinicians, experts say it can extend their reach, particularly in systems strained by workforce shortages. By flagging risks early, AI tools may allow doctors and nurses to focus attention where it is needed most.
The next installment in the series will examine how AI wearables in healthcare are optimizing healthcare workflows and improving diagnostic accuracy as systems adapt to rising global demand.
