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Communications Medical Informatics Emerging technologies in the field of medicine presented at the Consumer Electronics Show 2025
Jong-Ryul Yang1orcid, Min Cheol Chang2orcid
Journal of Yeungnam Medical Science 2025;42:31.
DOI: https://doi.org/10.12701/jyms.2025.42.31 [Epub ahead of print]
Published online: April 1, 2025

1Department of Electrical and Electronics Engineering, Konkuk University, Seoul, Korea

2Department of Physical Medicine and Rehabilitation, Yeungnam University College of Medicine, Daegu, Korea

Corresponding author:  Min Cheol Chang,
Email: wheel633@gmail.com
Received: 12 March 2025   • Revised: 24 March 2025   • Accepted: 28 March 2025
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The Consumer Electronics Show 2025 highlighted innovative technologies with considerable potential for healthcare, particularly artificial intelligence (AI) and sensor technologies. Notable advances that were showcased included products that leverage AI to personalize health management, such as devices capable of recommending binaural beat stimulation, analyzing speech patterns to detect language impairment, and predicting blood pressure through sleep data analysis. AI applications to enhance sleep quality, reduce snoring, and assess the caloric content of children’s meals were presented. However, the accuracy of these products remains inadequate for clinical use, which limits their applications in community settings. This showcase also featured advances in both contact and noncontact sensor technologies. Contact-type sensors, such as wearable rings and sensors designed to measure vital signs, including pulse rate, blood glucose, and blood pressure, have been developed to mitigate discomfort while maintaining high accuracy. Noncontact sensors employing radar and remote photoplethysmography technologies have further demonstrated promise for vital sign monitoring without physical contact, although maintaining accuracy during movement remains a challenge. AI integration with sensors was further demonstrated by the development of an electronic stethoscope utilizing microelectromechanical systems and deep learning algorithms to facilitate the perception of heart and breath sounds, emulating the functionality of conventional stethoscopes. Furthermore, advances in laser-based blood glucose monitoring and wearable robotic belts designed to assist gait have underscored the progress in devices aimed at enhancing patient care and daily living. These technologies hold considerable potential to profoundly transform healthcare systems, particularly in home and community settings.

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