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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Related Experiment Video

Updated: Jul 14, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

744

Future Perspectives in Radiology: Artificial Intelligence for Responsible Imaging (AIRI).

Kunmilayo Olayeye1, Christina Regine Owens-Charles1, Jashkumar Choudhari1

  • 1Foundation, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.

Cureus
|April 7, 2025
PubMed
Summary

Artificial intelligence for responsible imaging (AIRI) aids clinical decisions to reduce unnecessary medical scans and radiation exposure. This AI system optimizes imaging use for clinicians, radiologists, and patients, improving healthcare efficiency and outcomes.

Area of Science:

  • Medical Imaging Informatics
  • Artificial Intelligence in Healthcare
  • Radiology Workflow Optimization
Keywords:
artifical intelligencegeneral radiologyguidelines in medicineimaging modalitiesmachine learning (ml)machine learning in medicinemachine learning in radiologyradiation side effectsradiology and medical imagingscreening guidelines

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Background:

  • Artificial intelligence (AI) is transforming healthcare, particularly in radiology, by enhancing accuracy and workflow.
  • Overuse and misuse of medical imaging lead to increased costs, radiation exposure, and diagnostic delays.
  • A need exists for systems that promote appropriate and efficient use of diagnostic imaging.