{"id":28528,"date":"2024-07-02T10:48:19","date_gmt":"2024-07-02T08:48:19","guid":{"rendered":"https:\/\/lunex.lu\/?p=28528"},"modified":"2024-07-11T15:11:41","modified_gmt":"2024-07-11T13:11:41","slug":"clinically-feasible-artificial-intelligence-solutions-for-rehabilitation-via-motion-analysis","status":"publish","type":"post","link":"https:\/\/lunex.lu\/de\/news-insights\/news-overview\/clinically-feasible-artificial-intelligence-solutions-for-rehabilitation-via-motion-analysis\/","title":{"rendered":"Clinically feasible artificial intelligence solutions for rehabilitation via motion analysis"},"content":{"rendered":"

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LUNEX invites you to submit your paper to the AIHA* focus session:<\/p>\n

Clinically feasible artificial intelligence solutions for rehabilitation via motion analysis<\/strong><\/em><\/p>\n

* International Workshop on Artificial Intelligence for Healthcare Applications (AIHA 2024) – December 1, 2024<\/a><\/p>\n

Submission instructions are available at this link<\/a>\u00a0<\/strong><\/h3>\n


\nRationale<\/strong><\/h3>\n
The integration of articificial intelligence (AI) solutions into rehabilitation<\/a> protocols represents a fascinating opportunity to enhance patient outcomes and streamline therapeutic processes. By leveraging motion analysis techniques, AI can offer solutions which are clinically feasible as characterised by a quick, simple and inexpensive set-up to help precise and individualised rehabilitation needs.<\/span><\/div>\n

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AI-driven motion analysis enables precise and objective assessment of movement patterns, identifying weaknesses and dysfunctions with high accuracy. Such data-driven approaches allow clinical professionals to tailor rehabilitation programs optimising treatment efficacy and recovery.<\/p>\n

AI algorithms can continuously adapt rehabilitation protocols based on real-time feedback, providing personalised progression as well. The dynamic adjustment capability enhances the efficiency of rehabilitation and fosters patient engagement and motivation through interactive and adaptive interventions.<\/p>\n

AI-powered motion analysis systems can facilitate remote monitoring and tele-rehabilitation. Such possibility extends the access to specialised care beyond traditional clinical settingsand provides a feasible framework for the continuity of care. This is particularly beneficial for those living in remote areas, promoting adherence to rehabilitation protocols and facilitating timely interventions.<\/p>\n

Aim<\/strong><\/h3>\n

The main aim fo the proposed AIHA focused workshop is to exhibit the advancements in AI-based solutions to improve assessment and recovery in rehabilitation with a proven feasible approach. Such approaches should be driven by real-world generated data and lead to real world clinical solutions.<\/p>\n

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