TruaceTracing the truth around AIWednesday, September 23, 2026
TRV-2026-1175Certified recordPeer-reviewed

Quantitative Assessment of Facial Expression Asymmetry in Parkinson's Disease

Objective Hypomimia, or reduced facial expressiveness, is a cardinal motor feature of Parkinson's disease (PD). Although limb motor symptoms in PD are characteristically asymmetric, whether facial hypomimia exhibits comparable asymmetry remains poorly understood. We investigated facial expression asymmetry in PD using AI-based computer vision and machine learning. Methods Videos of instructed emotional facial expressions were collected from 101 individuals with PD and 94 healthy controls (HCs) across two indepen…

Health · P Space — documented harm · certified 2026-09-23 · v1 · article view · machine-readable

Current reading — problem

Static and dynamic features derived from these indices were compared between groups and used to train machine learning models for PD-HC discrimination, with each model trained and evaluated separately within each cohort.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1175, v1: “Quantitative Assessment of Facial Expression Asymmetry in Parkinson's Disease.” Truvace, 2026-09-23. /record/TRV-2026-1175 (accessed at citation time). sha256 7ad21fcde7170633

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv17ad21fcde717

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1175 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.