Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm DOI Creative Commons
Faris Kateb, Mahmoud Ragab, Felwa Abukhodair

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 17, 2025

Language: Английский

The Application of AI in Clinical Nursing, Yields Several Advantageous Outcomes DOI
Habib Ahmed,

Naeema Akber,

Mohammad Saleem

et al.

Indus journal of bioscience research., Journal Year: 2025, Volume and Issue: 3(2), P. 591 - 599

Published: March 6, 2025

AI applications in nursing practice deliver transformative improvements for patient care while reducing workflow disruptions and serving healthcare workers better. This research explores how helps professionals through clinical decision systems as well observation workload optimization mental health resource delivery. Through their integration of support tools predictive analytics along with automation technologies experience better efficiency together lower administrative burdens improved safety. The use delivers individualized to nurses that enable them protect themselves from burnout stress. adoption technology faces crucial ethical obstacles include privacy risks related information systemic bias within algorithms social repercussions deployment. complete benefits depend on an equilibrium between technological progress patient-focused approaches. future success depends the education into curricula preparation AI-driven environments. demonstrates enables transformation but calls monitoring practices continuous assessment produce fair effective deployment outcomes.

Language: Английский

Citations

0

Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm DOI Creative Commons
Faris Kateb, Mahmoud Ragab, Felwa Abukhodair

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 17, 2025

Language: Английский

Citations

0