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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Updated: Sep 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Recent advances on effective and efficient deep learning-based solutions.

Alejandro Martín1, David Camacho1

  • 1Departamento de Sistemas Informáticos, Universidad, Politécnica de Madrid, Madrid, Spain.

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Summary
This summary is machine-generated.

This editorial summarizes deep learning (DL) research, focusing on model efficiency and architecture effectiveness across diverse fields like health, energy, and technology. It highlights key contributions from selected papers in a special issue.

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Area of Science:

  • Artificial Intelligence and Machine Learning
  • Computational Science

Background:

  • This editorial reviews a special issue dedicated to deep learning (DL) methods and architectures.
  • It focuses on the efficiency of DL models and the effectiveness of their architectures.

Discussion:

  • The reviewed papers explore DL applications in diverse domains including health (cancer, melanoma, mental health), wearable technology, solar energy, social networks, cloud computing, and more.
  • Analysis covers contributions related to object detection, music generation, and electricity management.

Key Insights:

  • Selected articles emphasize advancements in deep learning model efficiency.
  • Research highlights the effectiveness of various deep learning architectures in complex application domains.
  • The collection showcases the versatility and impact of deep learning across scientific and technological fields.

Outlook:

  • Future research directions in deep learning methods and architectures.
  • Potential for enhanced DL applications in healthcare, renewable energy, and other sectors.
  • Continued exploration of DL model efficiency and architectural effectiveness.