Neurosurgical Review, Journal Year: 2024, Volume and Issue: 47(1)
Published: Sept. 25, 2024
Language: Английский
Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 65 - 92
Published: Jan. 3, 2025
This chapter examines how artificial intelligence (AI) is improving neuropsychological practice and AI tools can be used to diagnose treat rehabilitate cognitive disorders. Through a critical analysis of recent research developing patterns the emphasizes AIs potential for neuropsychology real-time interventions personalized care early detection. It explores has advanced create like virtual assistants chatbots machine learning algorithms that have greatly enhanced testing treatment. in neurorehabilitation shows encouraging results precision effectiveness treatment regimens particularly patients with brain injuries or decline. The also effects on training education focus preparing next generation neuropsychologists settings by AI.
Language: Английский
Citations
6
Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19
Published: Feb. 28, 2025
This review aimed to elucidate the mechanisms through which (i) physical activity (PA) enhances neuroplasticity and cognitive function in neurodegenerative disorders, (ii) identify specific PA interventions for improving rehabilitation programs. We conducted a literature search PubMed, Medline, Scopus, Web of Science, PsycINFO, covering publications from January 1990 August 2024. The strategy employed key terms related neuroplasticity, exercise, function, personalized activity. Inclusion criteria included original research on relationship between while exclusion eliminated studies focusing solely pharmacological interventions. identified multiple pathways may enhance including releasing neurotrophic factors, modulation neuroinflammation, reduction oxidative stress, enhancement synaptic connectivity neurogenesis. Aerobic exercise was found increase hippocampal volume by 1–2% improve executive scores 5–10% older adults. Resistance training enhanced control memory performance 12–18% elderly individuals. Mind–body exercises, such as yoga tai-chi, improved gray matter density memory-related brain regions 3–5% emotional regulation 15–20%. Dual-task attention processing speed 8–14% individuals with disorders. also discuss potential role AI-based AI preventing rehabilitating illnesses, highlighting innovative approaches patient outcomes. significantly disorders various mechanisms. resistance training, mind–body practices, dual-task exercises each offer unique benefits. Implementing these activities clinical settings can Future should focus creating tailored conditions, incorporating programs optimize rehabilitation.
Language: Английский
Citations
1
AI, Journal Year: 2025, Volume and Issue: 6(3), P. 62 - 62
Published: March 17, 2025
Artificial intelligence (AI) has revolutionized telerehabilitation by integrating machine learning (ML), big data analytics, and real-time feedback to create adaptive, patient-centered care. AI-driven systems enhance analyzing patient personalize therapy, monitor progress, suggest adjustments, eliminating the need for constant clinician oversight. The benefits of AI-powered include increased accessibility, especially remote or mobility-limited patients, greater convenience, allowing patients perform therapies at home. However, challenges persist, such as privacy risks, digital divide, algorithmic bias. Robust encryption protocols, equitable access technology, diverse training datasets are critical addressing these issues. Ethical considerations also arise, emphasizing human oversight maintaining therapeutic relationship. AI aids clinicians automating administrative tasks facilitating interdisciplinary collaboration. Innovations like 5G networks, Internet Medical Things (IoMT), robotics further telerehabilitation’s potential. By transforming rehabilitation into a dynamic, engaging, personalized process, together represent paradigm shift in healthcare, promising improved outcomes broader worldwide.
Language: Английский
Citations
1
Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15
Published: July 24, 2024
Background Alzheimer’s disease (AD), the most common form of dementia, is a progressive neurodegenerative disorder that predominantly affects elderly population. Traditional assessment methods, including neuropsychological tests like MMSE, have been cornerstone AD diagnosis for decades. These methods are grounded in wealth research and clinical experience, providing robust framework understanding cognitive deficits AD. The evolution rehabilitation has recently tackled with introduction Virtual Reality (VR) technologies. Objectives To evaluate use storytelling reminiscence therapy virtual reality programs as complementary enhancing modality alongside standard patients. explore how regular interaction VR narratives can slow decline or improve relevant features functioning over time. propose new rehabilitative tool based on digital storytelling. Method A comparative analysis Standard Neuropsychological Approaches Interventions patients Alzheimer was carried out. literature overview empirical studies between 2019 2024 conducted. Results We VR-based setup mediated by recovery Conclusion employment within positively impact both emotional realms patients, beneficial outcomes caregivers’ families’ burden. successful implementation this approach requires careful consideration accessibility, data interpretation, validation protocols.
Language: Английский
Citations
4
World Journal of Clinical Cases, Journal Year: 2025, Volume and Issue: 13(12)
Published: Jan. 7, 2025
It explores the integration of rehabilitation and palliative care in cancer management, advocating for a holistic approach that addresses diverse needs patients throughout their treatment journey. Traditional often prioritizes curative interventions at expense overall well-being, leading to fragmented experience patients. By combining rehabilitation-focused on restoring function improving physical health-with care-emphasizing symptom management quality life-healthcare providers can create comprehensive support system. The essay highlights importance interdisciplinary collaboration among healthcare professionals, as well need education training implement this integrated model effectively. Additionally, it potential barriers such funding limitations institutional resistance. Ultimately, these two disciplines represents critical evolution care, enhancing patient outcomes ensuring individuals receive compassionate, patient-centered
Language: Английский
Citations
0
Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0
AI, Journal Year: 2025, Volume and Issue: 6(2), P. 40 - 40
Published: Feb. 19, 2025
University students often face challenges in managing academic demands and difficulties like time management, task prioritization, effective study strategies. This scoping review investigates the application of Deep Learning (DL) Reinforcement (RL) evaluating enhancing performance, focusing on their practical applications, limitations, future potential. Using PRISMA guidelines, 27 empirical studies published between 2014 2024 were analyzed. These utilized advanced DL RL technologies, including neural networks adaptive algorithms, to support personalized learning performance prediction across diverse university contexts. Key findings highlight DL’s ability accurately predict outcomes identify at-risk students, with models achieving high accuracy areas dropout language proficiency assessments. proved optimizing pathways tailoring interventions, dynamically adapting individual student needs. The emphasizes significant improvements grades, engagement, efficiency enabled by AI-driven systems. However, persist, scalability, resource demands, need for transparent interpretable models. Future research could focus datasets, multimodal inputs, long-term evaluations enhance applicability these technologies. By integrating RL, higher education can foster personalized, environments, improving inclusivity.
Language: Английский
Citations
0
Neuroscience, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0
Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(3)
Published: Feb. 28, 2025
ABSTRACT AquaSense AI is a bio‐inspired, wearable sensor system that enables paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, posture on land water. perfect for application swimming pools hydrotherapy sessions. delivers real‐time, high‐precision feedback enable effective rehabilitation, fall prevention, fitness monitoring. In Under water, these follow person's the coordination their limbs through detection pressure changes, while land, they monitor gait, posture, balance. The sophisticated algorithms within system, including Hierarchical Adaptive Neural Network (HANN) Multimodal Self‐Learning Framework, adjust sensitivity environment provide personalized over time, continuously adapting movements rehabilitation progress user. bio‐inspired design, adaptive AI, real‐time predictive analytics can dual functionality at clinical applications, improving safety, outcomes, general health monitoring diverse environments.
Language: Английский
Citations
0
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 263 - 282
Published: March 13, 2025
Mental health care is increasingly integrating AI and deep learning for diagnosing, treating, monitoring patients. Traditional assessments rely on subjective reports, but AI-powered tools analyze speech, facial expressions, physiological signals objective insights. These innovations enable early detection of disorders like depression anxiety. This paper explores AI's role in diagnostics, chatbot therapy, predictive analytics while addressing ethical concerns bias, privacy, patient autonomy. Emerging technologies, such as brain-computer interfaces quantum AI, are also discussed, highlighting potential to make mental more data-driven, proactive, inclusive.
Language: Английский
Citations
0