Ignite Creation Date:
2024-05-06 @ 7:56 PM
Last Modification Date:
2024-10-26 @ 3:16 PM
Study NCT ID:
NCT06183970
Status:
NOT_YET_RECRUITING
Last Update Posted:
2023-12-28
First Post:
2023-08-24
Brief Title:
Recovery of Motor Skills With the Use of Artificial Intelligence and Computer Vision
Sponsor:
Federal Center of Cerebrovascular Pathology and Stroke Russian Federation Ministry of Health
Organization:
Federal Center of Cerebrovascular Pathology and Stroke Russian Federation Ministry of Health
Study Overview
Official Title:
Recovery of Motor Functions Through Assistive Motion Capture Software Using Artificial Intelligence and Computer Vision
Status:
NOT_YET_RECRUITING
Status Verified Date:
2023-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To investigate the impact of algorithms utilizing artificial intelligence technology and computer vision on the recovery of motor functions within the context of rehabilitation practice for patients who have experienced a cerebral stroke
Detailed Description:
Progress in artificial intelligence AI technologies and their practical application across various fields notably in medicine showcases their potential in solutions such as automated diagnostic systems unstructured medical record recognition natural language understanding event analysis and prediction information classification automatic patient support via chatbots and movement analysis through video Currently diverse AI-based software systems are being developed designed to solve intellectual problems akin to human thinking AIs widespread applications encompass prediction evaluation of digital information including unstructured data and pattern recognition data mining
Amid rapid advancements in deep machine learning particularly in image and pattern recognition medical image analysis has gained prominence within automated diagnostic systems particularly in radiation diagnostics With the burgeoning fields rapid growth curating medical datasets for AI-based diagnostic system training and validation is crucial
AIs success in radiation diagnostics and its recognition as promising within scientific circles pave the way for video analysis and machine learnings integration into medical rehabilitation practice Collaborating researchers at the Federal Medical Research Center of the FMBA of Russia and MTUCI devised a plan to develop specialized algorithms based on video movement analysis and machine learning for stroke patients undergoing medical rehabilitation
These algorithms monitor patients movements and promptly notify them of deviations amplitude reductions or compensatory patterns aiding them in correcting their movements All session data is archived electronically accessible to medical professionals responsible for individualized lesson plans This enables assessment of patient progress and necessary adjustments to the home rehabilitation program
Incorporating AI-driven video analysis and machine learning into medical rehabilitation holds great potential for enhancing patient outcomes and personalizing treatment strategies
Amid rapid advancements in deep machine learning particularly in image and pattern recognition medical image analysis has gained prominence within automated diagnostic systems particularly in radiation diagnostics With the burgeoning fields rapid growth curating medical datasets for AI-based diagnostic system training and validation is crucial
AIs success in radiation diagnostics and its recognition as promising within scientific circles pave the way for video analysis and machine learnings integration into medical rehabilitation practice Collaborating researchers at the Federal Medical Research Center of the FMBA of Russia and MTUCI devised a plan to develop specialized algorithms based on video movement analysis and machine learning for stroke patients undergoing medical rehabilitation
These algorithms monitor patients movements and promptly notify them of deviations amplitude reductions or compensatory patterns aiding them in correcting their movements All session data is archived electronically accessible to medical professionals responsible for individualized lesson plans This enables assessment of patient progress and necessary adjustments to the home rehabilitation program
Incorporating AI-driven video analysis and machine learning into medical rehabilitation holds great potential for enhancing patient outcomes and personalizing treatment strategies
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None