ItemConference Paper

Next Generation AI-Enhanced Intelligent Imaging for Automated Knee X-ray Interpretation in Osteoarthritis: Front office Integration and Employee Training

Title
Next Generation AI-Enhanced Intelligent Imaging for Automated Knee X-ray Interpretation in Osteoarthritis: Front office Integration and Employee Training
Creator
Pavithra, K.; Balakrishnan, R.; Loveline Zeema, J.
Description
Osteoarthritis is a long-lasting musculoskeletal ailment in which the degenerative alterations in the cartilage of the articles progressively arise. As the pathological anatomy develops to bone structure degeneration, it results in pain, stiffness and functional impairment. It results in immobility, reduced quality of life, more susceptibility to fractures, hospitalization, and mental health problems in the older adults and postmenopausal women. To address the increasing global prevalence of OA and the necessity to diagnose X-rays of the knee promptly, affordably and accessibly, this paper presents an AI-based imaging system based on the use of Convolutional Neural Networks (CNNs) and compares their results with the existing machine learning models. The framework will be structured to integrate the front-office workflows and streamline the diagnostic process of patient registration to report delivery and establish a well-organized staff training ecosystem aimed at enabling clinical staff to operate the AI-enabled workflow and adapt to it. The study offers a comprehensive, deployment ready, diagnostic platform through advanced automation, user oriented front-office functionality and the consistent upskilling of the workforce, to provide scalable, precise, cost effective OA detection, clinical efficiency, interpretative variability reduction, and workforce transition to scalable intelligent, patient centred care. 2025 IEEE.
Source
2025 IEEE International Conference on Modern Electronics Devices and Intelligent Communication Systems, MEDCOM 2025;pp.456-461
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial Intelligence (AI) in Healthcare; Clinical Workflow Optimization; Employee Training in AI Systems; Front office Integration; Knee X-ray Interpretation; Osteoarthritis Diagnosis
Coverage
Pavithra K., CHRIST (Deemed to Be University), Dept of Computer Science, Bangalore, India; Balakrishnan R., MS Ramaiah University of Applied Sciences, Dept of Hospitality Management, Bangalore, India; Loveline Zeema J., CHRIST (Deemed to Be University), Dept of Computer Science, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833157444-4;
Format
online
Language
English
Type
Conference paper

Citation

Pavithra, K.; Balakrishnan, R.; Loveline Zeema, J., “Next Generation AI-Enhanced Intelligent Imaging for Automated Knee X-ray Interpretation in Osteoarthritis: Front office Integration and Employee Training,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/26188.

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