Evaluation of Brain Age on Magnetic Resonance Imaging Using Machine Learning Techniques in Patients With Hearing Loss

Key Points

• This research aims to evaluate the brain age in patients with hearing loss using machine learning techniques.
• Utilized magnetic resonance imaging to assess brain age.
• Applied machine learning techniques for data analysis.
• Analyzed the relationship between hearing loss severity and brain aging.
• Explored the effects of auditory deprivation and rehabilitation timing.
• Patients with severe-to-profound hearing loss exhibited higher estimated brain age.
• Increased brain age gap (BAG) was noted in these patients.
• Links were found between early-onset hearing loss and increased BAG.
• Findings suggest that timely intervention could mitigate risks associated with altered brain aging.