
Artificial Intelligence in rehabilitation: A narrative review on advancing patient care.
AI transforms rehabilitation, enhancing personalized care and outcomes. Key challenges include data privacy and clinician training. π€πͺ
Discover the newest research about AI innovations in π§β𦽠Rehabilitation.

AI transforms rehabilitation, enhancing personalized care and outcomes. Key challenges include data privacy and clinician training. π€πͺ

AI enhances disability assistance through advanced activity recognition. π€ This study presents a novel CNN-BiLSTM model for improved accuracy. π

Innovative AI and IoT integration enhances elderly care in smart homes. π‘π΅ Personalized solutions improve health monitoring and response times. ππ‘

AI is transforming stroke rehabilitation, offering customized treatments and real-time monitoring. Challenges like data security remain. π€π§

Digital health technologies are transforming dementia care. π±π§ Our review highlights key research trends and knowledge gaps.

AI is revolutionizing orthopedic surgery, enhancing diagnostics and surgical planning. π€π Key methodologies improve patient care and recovery. π₯β¨

Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨

Technological advances in geriatric assessments can enhance surgical outcomes for older adults. ππ΅πΌ Key innovations include AI, ML, and wearable devices.

Wearable EEG neurofeedback shows promise for improving language and cognitive skills in children with autism. π€π

New research highlights a self-attention CNN approach for improving EEG decoding in stroke rehabilitation. π§ πͺ