Advances and challenges in neuroimaging-based pain biomarkers

Cell Reports Medicine, Journal Year: 2024, Volume and Issue: 5(10), P. 101784 - 101784

Published: Oct. 1, 2024

SummaryIdentifying neural biomarkers of pain has long been a central theme in neuroscience. Here, we review the state-of-the-art candidates for acute and chronic pain. We classify these potential into five categories based on nature their target variables, including (1) within-individual perception, (2) between-individual sensitivity, (3) discriminability pain, as well (4) assessment (5) prospective For each category, provide synthesized candidate developed using neuroimaging techniques functional magnetic resonance imaging (fMRI), structural (sMRI), electroencephalography (EEG). also discuss conceptual practical challenges developing Addressing challenges, optimal can be to deepen our understanding how brain represents ultimately help alleviate patients' suffering improve well-being.Graphical abstract

Language: Английский

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AI in neurosurgical education: Can machines learn to see like surgeons?

Journal of Clinical Neuroscience, Journal Year: 2025, Volume and Issue: unknown, P. 111153 - 111153

Published: March 1, 2025

Language: Английский

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AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach

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

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Innovative Applications of Telemedicine and Other Digital Health Solutions in Pain Management: A Literature Review

Pain and Therapy, Journal Year: 2024, Volume and Issue: 13(4), P. 791 - 812

Published: June 13, 2024

Since the COVID-19 pandemic, healthcare systems are facing extraordinary challenges. Our approaches to medicine have changed and created a whole new generation of people who chronic pain. Various medical services were postponed. The pandemic significantly impacted bio-psychosocial model pain management These challenges affected millions patients worldwide, with more burden on Telemedicine digital health rather than traditional office visits become essential tools for communications, resulting in an unmatched surge telehealth adoption. This approach facilitated remote treatment follow-up difficulty access services, particularly those receiving regular controlled medications. An extensive computer search was conducted, during period (from January 2014 March 2024), included literature from PubMed, Scopus, MEDLINE, Google scholar. According preset inclusion exclusion criteria, total 38 articles been this review article. focuses innovation telemedicine management, especially context posed by pandemic. manuscript provides comprehensive overview their evolution, significance healthcare. It also emphasizes benefits, challenges, limitations, ethical concerns after Furthermore, document explores different modes telecommunications discusses future directions technology.

Language: Английский

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Artificial Intelligence-Driven Diagnostic Processes and Comprehensive Multimodal Models in Pain Medicine

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(9), P. 983 - 983

Published: Sept. 16, 2024

Pain diagnosis remains a challenging task due to its subjective nature, the variability in pain expression among individuals, and difficult assessment of underlying biopsychosocial factors. In this complex scenario, artificial intelligence (AI) can offer potential enhance diagnostic accuracy, predict treatment outcomes, personalize management strategies. This review aims dissect current literature on computer-aided methods. It also discusses how AI-driven strategies be integrated into multimodal models that combine various data sources, such as facial analysis, neuroimaging, physiological signals, with advanced AI techniques. Despite significant advancements technology, widespread adoption clinical settings faces crucial challenges. The main issues are ethical considerations related patient privacy, biases, lack reliability generalizability. Furthermore, there is need for high-quality real-world validation development standardized protocols policies guide implementation these technologies diverse settings.

Language: Английский

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Perspektif Baru dalam Manajemen Nyeri: Pendekatan Multidisiplin

MEDICINUS, Journal Year: 2025, Volume and Issue: 38(1), P. 3 - 5

Published: Jan. 1, 2025

Nyeri merupakan pengalaman yang kompleks dan memiliki banyak sisi, tetap menjadi salah satu tantangan paling signifikan dalam dunia kedokteran. Karena sifatnya subjektif, terkait dengan dimensi fisik, emosional, psikologis, menjadikan nyeri sebagai kondisi relatif sulit untuk diobati secara efektif. Namun, kemajuan terkini penelitian teknologi telah mengubah pemahaman kita tentang membuka jalan baru penanganannya. Dari penemuan farmakologis hingga terapi psikologis inovatif, pendekatan multidisiplin bagi strategi lebih efektif, individual, holistik meredakan nyeri. Salah perkembangan menarik manajemen berasal dari inhibitor monoacylglycerol lipase (MAGL). Para peneliti Weill Cornell Medicine Temple University menunjukkan bahwa ini dapat memblokir sifat adiktif opioid mempertahankan kemampuan penghilang rasa sakitnya kuat. Dengan meningkatkan kadar endocannabinoid alami otak, 2-arachidonoylglycerol (2-AG), mengurangi pelepasan dopamine berperan proses terjadinya adiksi. Mekanisme menawarkan alternatif menjanjikan penatalaksanaan kronis tanpa risiko kecanduan menghancurkan, menandakan potensi pergeseran paradigma farmakoterapi

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Testing Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients

CIN Computers Informatics Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

The global population is aging, and there a concomitant increase in surgery for the elderly. In geriatric patients, where postoperative pain assessment difficult, technological tools that perform automatic are needed to alleviate workload of nurses accurately assess patients' pain. This study offers more reliable rapid tool assessing elderly patients undergoing surgery. aimed develop machine learning–based application patients. A methodological was conducted with 68 general clinic hospital between October 2022 June 2024. Data were collected using Sociodemographic Collection Form, Numeric Rating Scale, Wong-Baker FACES Pain Scale. Then, learning used. summarized descriptive statistics presented narrations, tables, graphs. reveals assigned lower scores levels. categorical classification, high level agreement observed patient each measurement. an efficacious method following It facilitates nursing care supports advancement nursing.

Language: Английский

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ANALYSIS OF APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN MATERIAL STORAGE: A BIBLIOGRAPHICAL STUDY

Revista Multidisciplinar do Nordeste Mineiro, Journal Year: 2025, Volume and Issue: 2(01), P. 1 - 28

Published: Jan. 30, 2025

This study aimed to analyze ten publications that portray the application of artificial intelligence in material storage. The conceptual bibliographic method was used its four stages: a) formulation primary and accessory research questions, b) data collection scientific databases, c) analysis organization collected data, d) generation interpretation answers formulated questions. results showed goals studies focused on problematic situations can be considered complex, methods consisted numerous techniques procedures, tools applied were varied large quantity, conclusions show is a technology effectively solve problems help overcome storage challenges. conclusion points out more complex problem or challenge faced, greater effectiveness solving helping it. study's main contribution science highlights need for logistics professionals know how apply practice.

Language: Английский

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Contemporary Advances in Diagnosis, Management, and Prevention of Traumatic Dental Injuries

Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Traumatic dental injuries (TDIs) represent a significant global healthcare challenge, affecting different age groups and socioeconomic strata. This comprehensive chapter presents contemporary advances in diagnosing, managing, preventing TDIs, integrating evidence-based approaches with emerging technologies biological interventions. The text systematically addresses the multifaceted nature of trauma, from immediate emergency response to long-term rehabilitation, while considering broader implications for systems society. Recent developments diagnostic technologies, including artificial intelligence-assisted imaging advanced assessment tools, have transformed initial evaluation trauma. explores innovative treatment modalities, encompassing regenerative endodontics, stem cell applications, computer-guided interventions alongside traditional approaches. Particular emphasis is placed on digital workflows, teledentistry minimally invasive techniques that revolutionized trauma management. critically examines impact TDI, direct indirect costs, quality life considerations, resource allocation. Special attention given age-specific management protocols, medically compromised patients, legal-ethical considerations. concludes an analysis future directions traumatology, providing framework continued advancement.

Language: Английский

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Biases in Artificial Intelligence Application in Pain Medicine

Journal of Pain Research, Journal Year: 2025, Volume and Issue: Volume 18, P. 1021 - 1033

Published: Feb. 1, 2025

Artificial Intelligence (AI) has the potential to optimize personalized treatment tools and enhance clinical decision-making. However, biases in AI, arising from sex, race, socioeconomic status (SES), statistical methods, can exacerbate disparities pain management. This narrative review examines these proposes strategies mitigate them. A comprehensive literature search across databases such as PubMed, Google Scholar, PsycINFO focused on AI applications management sources of biases. Sex racial often stem societal stereotypes, underrepresentation females, overrepresentation European ancestry patients trials, unequal access caused by systemic racism, leading inaccurate assessments misrepresentation data. SES reflect differential healthcare resources incomplete data for lower individuals, resulting larger prediction errors. Statistical biases, including sampling measurement further affect reliability algorithms. To ensure equitable delivery, this recommends employing specific fairness-aware techniques reweighting algorithms, adversarial debiasing, other methods that adjust training minimize bias. Additionally, leveraging diverse perspectives-including insights patients, clinicians, policymakers, interdisciplinary collaborators-can development fair interpretable systems. Continuous monitoring inclusive collaboration are essential addressing harnessing AI's improve outcomes populations.

Language: Английский

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