Verifying Infant Head Shape Changes with Large-Scale Data: Japan Medical Company Launches Second Phase of Joint Research with Keio University
Japan Medical Company has started the second phase of its joint research with Keio University School of Medicine, utilizing anonymized big data from over 300,000 downloads of its infant head shape measurement app to analyze cranial development and related factors.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 19:00
- 🔍 Collected: April 1, 2026 at 13:39 (18h 39m after Published)
- 🤖 AI Analyzed: April 21, 2026 at 11:21 (477h 41m after Collected)
Japan Medical Company (Chuo-ku, Tokyo; CEO Hideaki Ono) will conduct the second phase of joint research with Professor Satoshi Narumi's research group in the Department of Pediatrics at Keio University School of Medicine. This initiative follows the previous year's efforts to clarify chronological changes in infant cranial shapes and identify associated factors.
This study utilizes large-scale data collected through the smartphone app 'Infant Head Shape Measurement.' By analyzing how the degree of cranial distortion and the balance of head width/length change with age in months, the research aims to establish fundamental data on infant head shapes. It also examines factors contributing to positional skull deformation, such as gender and birth information.
This research is a progressive extension of the initial study started in FY2024. The previous phase focused on understanding basic head shape conditions and identifying related factors, with those results scheduled for upcoming academic publication. This new phase aims to deepen those insights using even larger datasets to clarify the dynamics of cranial changes during growth.
### Background: Growing Interest vs. Insufficient Data
Infant head shape is highly influenced by growth stages, sleeping positions, and habituation, making it a significant concern for many parents. While global interest has risen due to recommendations for back-sleeping to prevent Sudden Infant Death Syndrome (SIDS), previous studies have mostly been small-scale. There is a critical lack of large-scale data tracking chronological changes, which is necessary for informed parental guidance and clinical monitoring.
### Research Content: Big Data Analysis via Smartphone App
This study is a big data project involving anonymized infant cranial shape data from a smartphone app. Parents use the app to photograph their baby's head and mark reference points (nose and ears) to receive numerical values representing distortion and balance. With over 300,000 downloads, this is one of Japan's first large-scale app-based studies in the infant care field, providing rare insights based on real-world usage to improve medical support and childcare quality.
The analysis will focus on:
- How the degree of cranial distortion changes with age in months.
- How the balance between head width and length evolves during growth.
- How factors like gender and birth information correlate with positional skull deformation.
This study utilizes large-scale data collected through the smartphone app 'Infant Head Shape Measurement.' By analyzing how the degree of cranial distortion and the balance of head width/length change with age in months, the research aims to establish fundamental data on infant head shapes. It also examines factors contributing to positional skull deformation, such as gender and birth information.
This research is a progressive extension of the initial study started in FY2024. The previous phase focused on understanding basic head shape conditions and identifying related factors, with those results scheduled for upcoming academic publication. This new phase aims to deepen those insights using even larger datasets to clarify the dynamics of cranial changes during growth.
### Background: Growing Interest vs. Insufficient Data
Infant head shape is highly influenced by growth stages, sleeping positions, and habituation, making it a significant concern for many parents. While global interest has risen due to recommendations for back-sleeping to prevent Sudden Infant Death Syndrome (SIDS), previous studies have mostly been small-scale. There is a critical lack of large-scale data tracking chronological changes, which is necessary for informed parental guidance and clinical monitoring.
### Research Content: Big Data Analysis via Smartphone App
This study is a big data project involving anonymized infant cranial shape data from a smartphone app. Parents use the app to photograph their baby's head and mark reference points (nose and ears) to receive numerical values representing distortion and balance. With over 300,000 downloads, this is one of Japan's first large-scale app-based studies in the infant care field, providing rare insights based on real-world usage to improve medical support and childcare quality.
The analysis will focus on:
- How the degree of cranial distortion changes with age in months.
- How the balance between head width and length evolves during growth.
- How factors like gender and birth information correlate with positional skull deformation.