Investigation into Application of AI and Telemedicine in Rural Communities: A Systematic Literature Review

Healthcare, Journal Year: 2025, Volume and Issue: 13(3), P. 324 - 324

Published: Feb. 4, 2025

Recent advances in artificial intelligence (AI) and telemedicine are transforming healthcare delivery, particularly rural underserved communities. Background/Objectives: The purpose of this systematic review is to explore the use AI-driven diagnostic tools platforms identify underlying themes (constructs) literature across multiple research studies. Method: team conducted an extensive studies articles using databases that aimed consistent patterns literature. Results: Five constructs were identified with regard utilization AI on patient diagnosis communities: (1) Challenges/benefits communities, (2) Integration monitoring, (3) Future considerations (4) Application for accurate early diseases through various digital tools, (5) Insights into future directions potential innovations specifically geared towards enhancing delivery Conclusions: While technologies offer enhanced capabilities by processing vast datasets medical records, imaging, histories, leading earlier more diagnoses, acts as a bridge between patients remote areas specialized providers, offering timely access consultations, follow-up care, chronic disease management. Therefore, integration allows real-time decision support, improving clinical outcomes providing data-driven insights during virtual consultations. However, challenges remain, including ensuring equitable these technologies, addressing literacy gaps, managing ethical implications decisions. Despite hurdles, hold significant promise reducing disparities advancing quality care settings, potentially improved long-term health populations.

Language: Английский

---

Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review

Oral Oncology Reports, Journal Year: 2024, Volume and Issue: 10, P. 100343 - 100343

Published: April 5, 2024

Oral cancer presents a significant global public health challenge, which is further complicated by the psychological distress experienced patients. The integration of artificial intelligence (AI) into psychiatric nursing offers an innovative approach to improving care for oral This paper explores multifaceted role nurses in addressing aspects cancer, highlighting transformative potential AI enhancing diagnostics, patient monitoring, treatment planning, and psychosocial support. AI-driven tools, such as predictive models, natural language processing, mobile applications, provide novel means early disease detection, risk assessment, personalized real-time By leveraging AI, can play crucial identifying cases, assessing risks, delivering targeted interventions, promoting engagement self-management. Furthermore, AI-powered telemedicine platforms wearable devices enable continuous support, particularly remote or underserved areas, ensuring timely intervention patients' quality life. collaboration between interdisciplinary teams aims utilize AI-generated insights comprehensive care. Challenges ethical considerations integrating healthcare include data privacy, algorithm validation, need professional training.

Language: Английский

---

Critical review of self‐diagnosis of mental health conditions using artificial intelligence

International Journal of Mental Health Nursing, Journal Year: 2024, Volume and Issue: 33(2), P. 344 - 358

Published: Feb. 12, 2024

Abstract The advent of artificial intelligence (AI) has revolutionised various aspects our lives, including mental health nursing. AI‐driven tools and applications have provided a convenient accessible means for individuals to assess their well‐being within the confines homes. Nonetheless, widespread trend self‐diagnosing conditions through AI poses considerable risks. This review article examines perils associated with relying on self‐diagnosis in health, highlighting constraints possible adverse outcomes that can arise from such practices. It delves into ethical, psychological, social implications, underscoring vital role professionals, psychologists, psychiatrists, nursing specialists, providing professional assistance guidance. aims highlight importance seeking guidance addressing concerns, especially era self‐diagnosis.

Language: Английский

---

Is artificial intelligence an opportunity or a threat in nursing care?: An in-depth phenomenological study

Archives of Psychiatric Nursing, Journal Year: 2025, Volume and Issue: 54, P. 54 - 62

Published: Jan. 21, 2025

Language: Английский

---

Mental Health Disorders Due to Gut Microbiome Alteration and NLRP3 Inflammasome Activation After Spinal Cord Injury: Molecular Mechanisms, Promising Treatments, and Aids from Artificial Intelligence

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 197 - 197

Published: Feb. 14, 2025

Aside from its immediate traumatic effects, spinal cord injury (SCI) presents multiple secondary complications that can be harmful to those who have been affected by SCI. Among these gut dysbiosis (GD) and the activation of NOD (nucleotide-binding oligomerization domain) like receptor-family pyrin-domain-containing three (NLRP3) inflammasome are special interest for their roles in impacting mental health. Studies found state microbiome is thrown into disarray after SCI, providing a chance GD occur. Metabolites such as short-chain fatty acids (SCFAs) variety neurotransmitters produced hampered GD. This disrupts healthy cognitive processes opens door SCI patients impacted health disorders. Additionally, some studies an increased presence NLRP3 respective parts patients. Preclinical clinical shown plays key role maturation pro-inflammatory cytokines initiate eventually aggravate disorders In addition mechanisms intensifying this review article further focuses on promising treatments: fecal transplants, phytochemicals, melatonin. treatments effective combating pathogenic inflammasome, well alleviating symptoms may Another area focus exploring how artificial intelligence (AI) used support treatments. AI models already developed track changes microbiome, simulate drug-gut interactions, design novel anti-NLRP3 peptides. While promising, research applications treatment needed.

Language: Английский

---

Harnessing artificial intelligence for suicidality detection

Evidence-Based Nursing, Journal Year: 2025, Volume and Issue: unknown, P. ebnurs - 104277

Published: March 12, 2025

Language: Английский

---

The Impact of AI-Driven Sentiment Analysis on Patient Outcomes in Psychiatric Care: A Narrative Review

Asian Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 107, P. 104443 - 104443

Published: March 16, 2025

Language: Английский

---

Hemşirelik Öğrencilerinin Psikiyatri Hemşireliğinde Yapay Zekâ Kullanımına Yönelik Algı, Beklenti Ve Endişelerinin Derinlemesine İncelenmesi: Nitel Çalışma

Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, Journal Year: 2025, Volume and Issue: 14(1), P. 214 - 231

Published: March 23, 2025

Yapay zeka, psikiyatri hemşireliği alanında giderek artan bir öneme sahiptir. Hemşirelik öğrencilerinin bu konuda bilgi sahibi olmaları önemlidir. Bu araştırma, hemşireliğinde yapay zeka konusunda hemşirelik algılarını, beklentilerini ve endişelerini anlamak amacıyla gerçekleştirilmiştir. Araştırmada yöntem olarak nitel araştırma desenlerinden içerik analizi kullanılmıştır. Araştırma, Orta Karadeniz bölgesinde yer alan şehirdeki üniversite öğrencileri ile yürütülmüştür. 19 öğrencisi yarı yapılandırılmış mülakatlar yapılmıştır. Elde edilen veriler, Colaizzi'nin 7 aşamalı yöntemi kullanılarak analiz edilmiştir. Araştırma planı, COREQ kriterleri esas alınarak Analiz sonucunda üç ana tema ortaya çıkmıştır: 1. Zekaya Yönelik Algılar İkilemler, 2. Beklentiler 3. Endişeler. sonuçlarına göre, öğrencilerin genel zekâ olumlu algıya sahip oldukları, farklı beklentilerinin olduğu ancak aynı zamanda bazı etik mahremiyet endişeleri taşıdıkları görülmüştür. zekanın nasıl algılandığına dair derinlemesine anlayış sağlamış gelecekteki eğitim uygulama alanlarında rehberlik sağlayabilecek önemli bulgular sunmuştur. kullanımının hemşireliğindeki endişeleriyle birlikte ele alınması nedenle, eğitiminde kurallarının vurgulanması öğrencilere bilinçli şekilde yaklaşımı teşvik etmek gerekmektedir.

---

Digital Maturity and AI: Ethical Considerations for Hospital Management

Published: Jan. 1, 2025

Language: Английский

---

The Role of Artificial Intelligence in Nursing Care: An Umbrella Review

Nursing Inquiry, Journal Year: 2025, Volume and Issue: 32(2)

Published: April 1, 2025

Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monitoring, and efficiency. Machine learning, natural language processing (NLP), predictive analytics claim to improve safety automate tasks. However, a structured analysis of AI applications necessary ensure their effective implementation in practice. This umbrella review aimed synthesize existing systematic reviews on care, providing comprehensive its benefits, challenges, ethical implications. By consolidating findings from multiple sources, this seeks offer evidence-based insights guide the responsible integration A approach was employed following PRISMA guidelines. Multiple databases, including PubMed, CINAHL, Scopus, Web Science, IEEE Xplore, were searched for articles published between 2015 2024. Findings synthesized thematically identify key trends, limitations, research gaps. 13 studies, emphasizing AI's impact clinical decision support, education, workflow optimization. enhances early disease detection, minimizes diagnostic errors, automates documentation, improving data privacy risks, biases, concerns, limited literacy hinder integration. presents significant opportunities yet successful requires addressing ethical, legal, practical challenges. Adequate training, robust governance frameworks, policies ensuring use are essential into Future should explore long-term impact, training models nurses, strategies balance AI-driven efficiency with human-centered care.

Language: Английский

---