AI Science & Discovery
AI and Wearables to Replace Traditional Pain Scales
A new JMIR report suggests AI-driven trackers provide a more accurate way to measure chronic pain levels.
A close-up of a patient's wrist with a digital health tracker showing data trends while a tablet in the background displays clinical analytics.
Photo: Kronos Digital News
A new report from JMIR Publications argues that digital tools can replace outdated 0-to-10 pain scales [3]. These tools include AI-driven trackers and wearable devices [1]. They capture real-time data to give clinicians a holistic view of patient suffering [1][2].
Traditional scales often rely on a patient’s memory, which can lead to recall bias [1]. AI technologies like PainChek and Doctor Notes help solve this problem [1][3]. These systems analyze biopsychosocial data for more accurate assessments [2].
Experts say these advancements will improve how doctors treat chronic pain [2]. By using objective data, clinicians can create better care plans for their patients [1][3].
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Kronos Digital News Desk covers ai science & discovery and editorial analysis for Kronos Digital News.