Intersections of Law and Computational Intelligence in Health Governance DOI
Nigar Kadar Mujawar

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Aug. 23, 2024

Virtual assistants in health and medicine utilize AI NLP to revolutionize patient care healthcare services. They engage patients with personalized interactions, improve access healthcare, support professionals. assess symptoms, provide education, assist medication management, streamline appointment scheduling. Integration telemedicine expands care, while wearable device integration monitors metrics. ensure secure medical records, adhere regulations like HIPAA, continuously through user feedback. Overall, they optimize engagement, accessibility, enhance efficiency delivery.

Language: Английский

Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI DOI
Muhammad Sami Ullah, Muhammad Attique Khan,

Hussain Mubarak Albarakati

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 182, P. 109183 - 109183

Published: Oct. 2, 2024

Language: Английский

Citations

12

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes DOI Creative Commons

Ranieri Guerra

Italian Journal of Medicine, Journal Year: 2024, Volume and Issue: 18(2)

Published: April 15, 2024

In hospital settings, effective risk management is critical to ensuring patient safety, regulatory compliance, and operational effectiveness. Conventional approaches assessment mitigation frequently rely on manual procedures retroactive analysis, which might not be sufficient recognize respond new risks as they arise. This study examines how artificial intelligence (AI) technologies can improve in healthcare facilities, fortifying safety precautions guidelines while improving the standard of care overall. Hospitals proactively identify mitigate risks, optimize resource allocation, clinical outcomes by utilizing AI-driven predictive analytics, natural language processing, machine learning algorithms. The different applications AI are discussed this paper, along with opportunities, problems, suggestions for their use settings.

Language: Английский

Citations

3

Intersections of Law and Computational Intelligence in Health Governance DOI
Nigar Kadar Mujawar

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Aug. 23, 2024

Virtual assistants in health and medicine utilize AI NLP to revolutionize patient care healthcare services. They engage patients with personalized interactions, improve access healthcare, support professionals. assess symptoms, provide education, assist medication management, streamline appointment scheduling. Integration telemedicine expands care, while wearable device integration monitors metrics. ensure secure medical records, adhere regulations like HIPAA, continuously through user feedback. Overall, they optimize engagement, accessibility, enhance efficiency delivery.

Language: Английский

Citations

0