This comprehensive review delves into the impact and challenges of Artificial Intelligence (AI) in nursing science and healthcare. AI has already demonstrated its transformative potential in these fields, with applications spanning from personalized care and diagnostic accuracy to predictive analytics and telemedicine. However, the integration of AI has its complexities, including concerns related to data privacy, ethical considerations, and biases in algorithms and datasets. The future of healthcare appears promising, with AI poised to advance diagnostics, treatment, and healthcare practices. Nevertheless, it is crucial to remember that AI should complement, not replace, healthcare professionals, preserving the essential human element of care. To maximize AI's potential in healthcare, interdisciplinary collaboration, ethical guidelines, and the protection of patient rights are essential. This review concludes with a call to action, emphasizing the need for ongoing research and collective efforts to ensure that AI contributes to improved healthcare outcomes while upholding the highest standards of ethics and patient-centered care.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10744168PMC
http://dx.doi.org/10.7759/cureus.49252DOI Listing

Publication Analysis

Top Keywords

comprehensive review
8
impact challenges
8
nursing science
8
science healthcare
8
healthcare
7
harnessing power
4
power comprehensive
4
review impact
4
challenges nursing
4
healthcare comprehensive
4

Similar Publications

Advances in Diagnosis, Treatment and Prognostic in Aortoiliac Occlusive Disease - A Narrative Review.

Port J Card Thorac Vasc Surg

January 2025

Department of Biomedicine - Unit of Anatomy, Faculty of Medicine, University of Porto; RISE@Health, Porto, Portugal.

Background: Aortoiliac disease (AID) is a variant of peripheral artery disease involving the infrarenal aorta and iliac arteries. Similar to other arterial diseases, aortoiliac disease obstructs blood flow through narrowed lumens or by embolization of plaques. AID, when symptomatic, may present with a triad of claudication, impotence, and absence of femoral pulses, a triad also referred as Leriche Syndrome (LS).

View Article and Find Full Text PDF

The effects of unified pooling arrangement on health inequity in China: a DID-RIF approach.

BMC Health Serv Res

January 2025

School of Humanities and Social Sciences, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China.

Background: To address the health inequity caused by decentralized management, China has introduced a provincial pooling system for urban employees' basic medical insurance. This paper proposes a research framework to evaluate similar policies in different contexts. This paper adopts a mixed-methods approach to more comprehensively and precisely capture the causal effects of the policy.

View Article and Find Full Text PDF

Background: Classic congenital adrenal hyperplasia, primarily due to 21-hydroxylase deficiency, leads to impaired cortisol and aldosterone production and excess adrenal androgens. Lifelong glucocorticoid therapy is required, often necessitating supraphysiological doses in youth to manage androgen excess and growth acceleration. These patients experience higher obesity rates, hypertension, and glucose metabolism issues, complicating long-term health management.

View Article and Find Full Text PDF

Health extension workers job satisfaction and associated factors in Ethiopia: a systematic review and meta-analysis.

BMC Health Serv Res

January 2025

Amref Health Africa in Ethiopia, EPI Technical Assistant at West Gondar Zonal Health Department, SLL Project, COVID-19 Vaccine, Gondar, Ethiopia.

Background: Ethiopian healthcare relies heavily on Health Extension Workers (HEWs), who deliver essential services to communities nationwide. By analyzing existing research, the authors explore how prevalent job satisfaction is and what factors affect it. This comprehensive analysis aims to improve HEW satisfaction through targeted interventions, ultimately leading to a more effective healthcare workforce and better health outcomes in Ethiopia.

View Article and Find Full Text PDF

Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers.

BMC Anesthesiol

January 2025

Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang St, Chengdu, 610041, Sichuan, China.

Objective: Early diagnosis of intensive care unit-acquired weakness (ICUAW) is crucial for improving the outcomes of critically ill patients. Hence, this study was designed to identify predisposing factors for ICUAW and establish a predictive model for the early diagnosis of ICUAW.

Methods: This prospective observational multicenter study included septic patients from the comprehensive ICUs of West China Hospital of Sichuan University and 10 other hospitals between September and November 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!