Treatment optimization system, treatment optimization method, and program
The treatment optimization system uses AI to analyze biological data from sensors and facial expressions to provide objective feedback, addressing the issue of subjective patient feedback, enhancing treatment efficacy and personalization.
JP7864371B1Active Publication Date: 2026-05-25KABUSHIKI KAISYA LEBEN
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Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- KABUSHIKI KAISYA LEBEN
- Filing Date
- 2024-11-27
- Publication Date
- 2026-05-25
AI Technical Summary
Technical Problem
Conventional treatments, including those performed by practitioners and medical treatments, rely heavily on subjective patient feedback, which can be inaccurate, leading to suboptimal treatment outcomes and a lack of objective evaluation of treatment effectiveness.
Method used
A treatment optimization system utilizing AI to analyze biological data collected from wearable sensors, vision systems, and facial expression recognition to provide objective feedback on pain, discomfort, and treatment effectiveness, enabling personalized treatment plans.
Benefits of technology
Enables practitioners to deliver treatments tailored to individual patient conditions, improving treatment efficacy and reducing discomfort by quantifying and objectively evaluating treatment outcomes.
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Smart Images
Figure 0007864371000001_ABST
Abstract
We provide a treatment optimization system, treatment optimization method, and program that allows practitioners to perform treatments appropriate to the condition of the patient. [Solution] In the treatment optimization system, the data collection unit of the terminal device collects the biological data of the person receiving treatment during treatment, the data analysis unit has the AI analyze the biological data of the person receiving treatment during treatment to estimate at least one of the following as evaluation indicators of the person receiving treatment: presence or absence of pain, numbness, pressure, weakness, presence or absence of discomfort, change in discomfort, resolution of discomfort, and pleasure, and the display unit displays the state of the person receiving treatment estimated by the AI and provides feedback to the practitioner. The method includes a data collection step of collecting the biological data of the person receiving treatment, a data analysis step of having the AI analyze the biological data to devise at least one of the examination content and treatment content suitable for the person receiving treatment, and a display step of showing at least one of the examination content and treatment content devised by the AI to the practitioner.
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