Empowering Care: Transforming Nursing Through Artificial Intelligence DOI
Nada Lukkahatai, Michael Joseph S. Diño, Leorey N. Saligan

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

This chapter explores the roles of artificial intelligence (AI) in nursing, highlighting its potential to enhance patient care, streamline clinical workflows, and support evidence-based decision-making nursing research. It discusses applications AI predictive analytics, personalized virtual assistants while addressing ethical considerations evolving role nurses AI-driven healthcare. The addresses critical adopting such as implications, privacy, need for equitable access tools. content is based on a narrative synthesis relevant literature, identified through searches healthcare databases, including PubMed Cumulative Index Nursing Allied Health Literature (CINAHL), using terms “artificial intelligence,” “nursing practice,” education,” research.” importance training workforce work effectively with technologies augment, rather than replace, human judgment care. Additionally, case studies real-world examples illustrate successful implementation solutions lessons learned best practices. Through future projections, emphasizes integrating empower improve health outcomes.

Language: Английский

Driving Knowledge to Action: Building a Better Future With Artificial Intelligence–Enabled Multidisciplinary Oncology DOI
Arturo Loaiza‐Bonilla, Nikhil G. Thaker, Caroline Chung

et al.

American Society of Clinical Oncology Educational Book, Journal Year: 2025, Volume and Issue: 45(3)

Published: May 2, 2025

Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, redefining how clinicians detect, classify, and treat cancer. From earlier more accurate diagnoses to personalized treatment planning, AI's impact evident across radiology, pathology, radiation oncology, medical oncology. By leveraging vast diverse data—including imaging, genomic, clinical, real-world evidence—AI algorithms can uncover complex patterns, accelerate drug discovery, help identify optimal regimens for each patient. However, realizing the full potential of AI also necessitates addressing concerns regarding data quality, algorithmic bias, explainability, privacy, regulatory oversight—especially in low- middle-income countries (LMICs), where disparities cancer care are particularly pronounced. This study provides a comprehensive overview reshaping care, reviews its benefits challenges, outlines ethical policy implications line with ASCO's 2025 theme, Driving Knowledge Action. We offer concrete calls action clinicians, researchers, industry stakeholders, policymakers ensure that AI-driven, patient-centric accessible, equitable, sustainable worldwide.

Language: Английский

Citations

0
Empowering Care: Transforming Nursing Through Artificial Intelligence DOI
Nada Lukkahatai, Michael Joseph S. Diño, Leorey N. Saligan

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

This chapter explores the roles of artificial intelligence (AI) in nursing, highlighting its potential to enhance patient care, streamline clinical workflows, and support evidence-based decision-making nursing research. It discusses applications AI predictive analytics, personalized virtual assistants while addressing ethical considerations evolving role nurses AI-driven healthcare. The addresses critical adopting such as implications, privacy, need for equitable access tools. content is based on a narrative synthesis relevant literature, identified through searches healthcare databases, including PubMed Cumulative Index Nursing Allied Health Literature (CINAHL), using terms “artificial intelligence,” “nursing practice,” education,” research.” importance training workforce work effectively with technologies augment, rather than replace, human judgment care. Additionally, case studies real-world examples illustrate successful implementation solutions lessons learned best practices. Through future projections, emphasizes integrating empower improve health outcomes.

Language: Английский

Citations

0