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Related Concept Videos

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

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Related Experiment Video

Updated: Jun 25, 2026

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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AI-Powered Smartphone Application for Measuring Hallux Valgus Angle From Radiographs Displayed on a Monitor.

Ryutaro Takeda1, Sanehiro Ando1, Toshiko Iidaka2

  • 1Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.

Journal of Foot and Ankle Research
|September 4, 2025
PubMed
Summary

A new smartphone app accurately measures hallux valgus angle (HVA) and intermetatarsal angles from radiographs. The tool demonstrated high precision, even for users without medical training, offering a practical solution for clinical settings.

Keywords:
artificial intelligenceautomatic measurementhallux valgus angleintermetatarsal angleneural networksmartphone

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Area of Science:

  • Orthopedics
  • Medical Imaging
  • Mobile Health Technology

Background:

  • Hallux valgus angle (HVA) and intermetatarsal angles are key radiographic measures in foot and ankle surgery.
  • Accurate measurement of these angles is crucial for diagnosis and treatment planning.
  • Existing measurement methods can be time-consuming and require specialized software.

Purpose of the Study:

  • To evaluate the accuracy and reliability of a novel smartphone application for measuring HVA and intermetatarsal angles.
  • To compare the application's performance against manual measurements by experienced surgeons.
  • To assess the usability of the application across different user expertise levels.

Main Methods:

  • A smartphone application was developed to automatically measure HVA and intermetatarsal angles from radiographic images.
  • Three users (orthopedic surgeon, resident, non-healthcare professional) measured angles on 92 radiographs.
  • Mean absolute errors (MAEs) were calculated and compared to manual measurements by experts, with a 3° threshold for acceptable error.

Main Results:

  • The application achieved mean absolute errors for HVA below the 3° threshold for all users (1.1°, 1.3°, 1.4°).
  • Intermetatarsal angle measurements were also highly accurate, with slight variability for lateral metatarsals.
  • All measurements met the accuracy criterion except for specific intermetatarsal angles measured by the non-healthcare user.

Conclusions:

  • The smartphone application provides accurate measurements of HVA and intermetatarsal angles, comparable to expert manual assessments.
  • The tool is effective even when used by individuals without clinical experience, highlighting its potential ease of use.
  • This application represents a promising, practical tool for both clinical practice and research in foot and ankle diagnostics.