Nurses' Perspectives on Privacy and Ethical Concerns Regarding Artificial Intelligence Adoption in Healthcare

Heliyon, Год журнала: 2024, Номер 10(17), С. e36702 - e36702

Опубликована: Авг. 23, 2024

With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline professionals, are pivotal in-patient care offer valuable insights implications AI adoption.

Язык: Английский

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Assessment of Anxiety, Stress, and Depression Among COVID-19 Survivors After 40 Months in the Kurdistan Region of Iraq: An Online Cross-Sectional Study

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Июль 3, 2024

Background and aims: COVID-19 survivors often experience significant pervasive psychological distress. This study aimed to investigate the prevalence demographic factors affecting anxiety, stress, depression levels among in Kurdistan region of Iraq. Method: online cross-sectional was conducted from August 1, 2023 December 17, 2023, Iraq, including Erbil, Sulaymaniyah, Duhok. Purposive sampling used collect data using an survey. The survey included information Depression, Anxiety, Stress Scale - 21 Items (DASS-21). Statistical analysis performed Stata version 12 (StataCorp LLC, College Station, TX), with frequency percentage for categorical variables mean standard deviation quantitative variables. Ordinal regression analyses were assess associations between mental health outcomes. A p-value less than 0.05 considered statistically significant. Results: total 783 participants enrolled study. score anxiety 11.62 ± 4.71, indicating moderate levels. For depression, 11.54 5.21, mild levels, 14.0 5.78, normal Younger individuals (15-27) showed higher stress (Estimate: 18.96, P=0.001) 2.79, compared older age groups. Males reported significantly lower -1.01, P=0.001), -1.29, -0.72, females. Participants a diploma had 0.65, P=0.004) 0.77, P=0.002) those only elementary education. Conclusions: found survivors, To address these issues, it is recommended that policymakers develop targeted interventions. Healthcare providers should focus on early identification treatment, providing personalized counseling support enhance coping mechanisms overall well-being. By implementing measures, outcomes Iraq can be improved.

Язык: Английский

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Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

Current Oncology, Год журнала: 2024, Номер 31(9), С. 5255 - 5290

Опубликована: Сен. 6, 2024

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Язык: Английский

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Assessment of Knowledge and Practice Regarding Psychological First Aid Among Secondary School Students in Erbil City

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Июль 16, 2024

Secondary school students in Erbil City face various stressors and challenges that may impact their mental well-being. This study aimed to assess the knowledge practical application of psychological first aid (PFA) among these students.

Язык: Английский

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Mobile Health and Artificial Intelligence as Nutritional Support for the Population: A Review

Опубликована: Июнь 5, 2024

Mobile applications, websites and social media networks are nowadays widely used communication tools. With the emergence of communication-related technologies in our lives and, consequently, rise mobile health-related generically encompassed under term digital health, have become popular among population. Smartphones artificial intelligence very useful tools for interventions. Because they accessible cost-effective. They also able to serve a larger number communities than traditional Nutrition is not field that has remained on sidelines, numerous applications technological emerged intended help support diets or process recovering from disease. However, many these limitations important consider. For this reason, aim review was analyze most currently use, discuss their advantages disadvantages, propose hypotheses improvement.

Язык: Английский

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Recent developments in antibiotic resistance: an increasing threat to public health

Annals of Animal Science, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 27, 2024

Abstract Antibiotic resistance (ABR) is a major global health threat that puts decades of medical progress at risk. Bacteria develop through various means, including modifying their targets, deactivating drugs, and utilizing efflux pump systems. The main driving forces behind ABR are excessive antibiotic use in healthcare agriculture, environmental contamination, gaps the drug development process. advanced detection technologies, such as next-generation sequencing (NGS), clustered regularly interspaced short palindromic repeats (CRISPR)-based diagnostics, metagenomics, has greatly improved identification resistant pathogens. consequences on public significant, increased mortality rates, endangerment modern procedures, resulting higher expenses. It been expected could potentially drive up to 24 million individuals into extreme poverty by 2030. Mitigation strategies focus stewardship, regulatory measures, research incentives, raising awareness. Furthermore, future directions involve exploring potential CRISPR-Cas9 (CRISPR-associated protein 9), nanotechnology, big data analytics new solutions. This review explores resistance, mechanisms, recent trends, drivers, technological advancements detection. also evaluates implications for presents mitigating resistance. emphasizes significance needs, stressing necessity sustained collaborative efforts tackle this issue.

Язык: Английский

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Biotechnology breakthroughs: Revolutionizing oral cancer treatment

Oral Oncology Reports, Год журнала: 2024, Номер 10, С. 100404 - 100404

Опубликована: Апрель 19, 2024

Oral cancer is a global health concern due to its increasing incidence and mortality rates, despite conventional treatments such as surgery, chemotherapy, radiation therapy. Biotechnology has made significant progress in the management of oral cancer. This essay explores how these advancements are transforming treatment, offering improved outcomes enhanced quality life for patients. Targeted therapies, like cetuximab, disrupt specific pathways cells, inhibiting their proliferation while minimizing damage healthy cells. differs from traditional which nonspecific impact. Immunotherapy, using checkpoint inhibitors pembrolizumab nivolumab, enhances body's immune response against particularly cases resistant treatment. Gene therapy holds promise correcting genetic abnormalities that contribute tumor growth or enhancing system's ability eradicate Oncolytic viruses CRISPR-Cas9 among tools leading way personalized interventions. Liquid biopsies, analyze circulating cells biomarkers, provide non-invasive method diagnosing monitoring Integration with advanced bioinformatics artificial intelligence enables precision medicine tailored individual tumors. Collectively, offer hope into manageable condition. Achieving this goal requires collaborative efforts continued exploration optimize treatment effectiveness elevate patient survival rates.

Язык: Английский

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Innovative Strategies for Remote Patient Management in Peritoneal Dialysis: The Role of Artificial Intelligence

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Окт. 29, 2024

The integration of artificial intelligence (AI) and telehealth in peritoneal dialysis (PD) marks a paradigm shift chronic kidney disease care. In conventional PD practice, poor adherence to prescriptions leads increased complications, hospitalizations, mortality, while delays care inefficient oversight contribute higher healthcare costs workload burdens. Addressing these unmet needs is critical for improving patient outcomes. This chapter explores the evolution remote management (RPM) PD, emphasizing AI’s transformative role enhancing outcomes through real-time monitoring, predictive analytics, personalized plans. historical progression from basic telemedicine sophisticated AI-driven systems highlights potential reduced hospitalizations improved treatment adherence. Despite benefits, obstacles such as digital access, data security, disparities, need specialized training persist. Ethical considerations, including autonomy algorithmic bias, are also crucial responsible deployment technologies. As advancements AI continue, their managing poised expand, resulting enhanced health better quality life patients.

Язык: Английский

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Leveraging Artificial Neural Networks and Support Vector Machines for Accurate Classification of Breast Tumors in Ultrasound Images

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 5, 2024

Background and Aim Breast cancer is a leading cause of cancer-related deaths among women, ultrasound imaging crucial for early detection. However, variability in interpretation can affect diagnosis. Therefore, this study compared the performance artificial neural networks (ANNs) support vector machines (SVMs) classifying breast tumors using images. Method This comparative was conducted from June 1, 2023, to 2024, convenience sampling method. Data were gathered Center Diseases at Nanakali Hospital Erbil, Kurdistan Region Iraq, publicly available dataset Kaggle. ANN SVM models then applied classify tumors. Statistical analysis performed R (R Foundation Computing, Vienna, Austria) IBM SPSS Statistics Windows, Version 28.0 (Released 2021; Corp., Armonk, New York, United States), with metrics such as accuracy, sensitivity, specificity, Kappa coefficient calculated both models. Results The model achieved an accuracy 87.78%, sensitivity 86.67% specificity 88.89%. demonstrated 86.67%, higher 95.56% but lower 77.78%. Both showed substantial agreement between predicted actual classifications, coefficients 75.56% 73.33% SVM. mean, skewness, area identified most important variables model, while solidity, circularity, perimeter critical features model. Conclusions results indicated that had marginally than It recommended further optimize these clinical use, improve integration machine learning medical imaging, expand enhance generalizability robustness.

Язык: Английский

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Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review

Dietetics, Год журнала: 2024, Номер 3(4), С. 483 - 503

Опубликована: Ноя. 4, 2024

Mobile applications, websites and social media networks are now widely used communication tools. With the emergence of communication-related technologies in our lives and, consequently, rise mobile nutrition-related applications have become popular. Smartphones other artificial intelligence very useful tools for delivering interventions because they accessible cost-effective. Digital also able to serve a larger number communities than traditional interventions. Nutrition is not field that has remained on sidelines these technological advances, numerous emerged intended provide dietary advice or guidelines process recovering from disease. However, many limitations barriers important consider. The aim this review was analyze most current related nutrition, as well their complementary (activity bracelets smart scales, among others), highlighting importance improving lifestyle habits. In addition, advantages disadvantages discussed future directions proposed.

Язык: Английский

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