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Personalized cognitive training framework to help patients with cognitive impairment recover.

#Artificial Intelligence
#medical health
#Multimodal large model
#cognitive training
#personalized recovery
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Product Details

ReMe is a personalized cognitive training framework jointly developed by Microsoft Research Asia and Shanghai Mental Health Center, aiming to provide personalized cognitive training for patients with cognitive impairment. This framework is based on Microsoft Azure OpenAI service and uses multi-modal large model technology to provide users with a cognitive training experience in the form of a conversational robot through input and output of multiple modalities such as text, images, and voice. The innovation of ReMe lies in its personalized and multi-modal interaction capabilities, which can provide customized training programs based on the user's memory content and cognitive level, thereby improving the pertinence and effectiveness of training.

Main Features

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Supports input and output of multiple modes such as text, images, and voice to achieve multi-modal interaction.
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Provide personalized cognitive training programs, customized according to the user's memory content and cognitive level.
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Upload personal memory content through mobile phones or wearable devices to facilitate users to participate in training.
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Built-in cognitive game templates allow doctors and researchers to quickly create personalized training games.
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Includes interactive assessment capabilities to track patient cognitive levels and adjust training tasks.
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Compatible with and implements mature cognitive training tasks that have been proven effective, such as color recognition and mathematical operations.
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Try to record important nodes and events in daily life through sensor technology and wearable devices.

How to Use

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1. Upload personal memory content via mobile phone or wearable device.
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2. Select or create a personalized training program based on personal memory content and cognitive level.
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3. Use the multi-modal interaction function of ReMe to conduct cognitive training.
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4. After completing the training, track changes in cognitive level through the built-in interactive assessment function.
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5. Based on the evaluation results, adjust the training program to adapt to the patient's cognitive progress.
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6. Doctors and researchers can use ReMe templates to quickly create new training games.
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7. Use sensor technology and wearable devices to record important nodes and events in daily life for training.

Target Users

The target audience of ReMe is mainly patients with cognitive impairment, including patients with Alzheimer's disease, Parkinson's disease, Lewy body dementia, cerebrovascular cognitive impairment, etc. This product is suitable for them because it provides a personalized and multi-modal cognitive training platform that can provide customized training programs according to each patient's memory type and cognitive level, helping to delay the decline of cognitive function and improve the quality of life.

Examples

Patients improve their memory retention ability through daily memory training through ReMe.

Doctors use ReMe to design personalized cognitive training plans for patients and achieve good therapeutic results.

Researchers used ReMe to conduct clinical research on cognitive impairment and verified its effectiveness in cognitive training.

Quick Access

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Categories

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› AI chatbot
› AI medical health

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