Forthcoming Articles

International Journal of Artificial Intelligence in Healthcare

International Journal of Artificial Intelligence in Healthcare (IJAIH)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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(One paper in press)

Regular Issues

  • Machine learning-based computer assisted model for visually impaired patients   Order a copy of this article
    by Manoranjan Dash 
    Abstract: A significant section of the population currently faces everyday obstacles due to blindness. This study presents a computer-assisted model (CAM) that uses machine learning to help visually impaired people become more independent and live better lives. The proposed model used natural language processing (NLP) to convert visual input into descriptive audio feedback and convolutional neural networks (CNNs) for real-time object detection and picture recognition. The system consists of an audio output interface, server-side processing, and a web application with camera access. The camera records live images, which are processed by machine learning algorithms to recognise text and objects and give the user audio descriptions. The purpose of the test is to determine whether the model can help visually impaired persons navigate and be more aware of their surroundings. The efficacy of the suggested methodology has been confirmed from the good accuracy (97.00%) and precision (96.50%).
    Keywords: machine learning; assistive technology; visually impaired; convolutional neural networks; CNNs; image recognition; natural language processing; NLP.
    DOI: 10.1504/IJAIH.2026.10080570
     

 

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