Thursday, August 6, 2026

🌍Advancing Artificial Intelligence for Smarter Healthcare

The Global Public Health and Epidemiology Congress (G-PHEC 2026) is delighted to welcome Dr. Haroon Haider Khan** **from ROOTS IVY International, Pakistan, as a distinguished speaker presenting innovative research at the intersection of artificial intelligence and healthcare.

Presentation Title

Novel REST block for gradient optimization in deep learning models

Artificial intelligence is transforming healthcare by enabling faster, more accurate, and more reliable diagnostic systems. However, training deep learning models often faces challenges such as unstable gradients, overfitting, and slow convergence, which can limit their performance in medical applications.

In this presentation, Dr. Haroon Haider Khan introduces the REST Block, an innovative deep learning architecture designed to stabilize gradient optimization and improve model performance. By integrating residual learning, efficient channel attention, stochastic depth, and dense network components, the proposed framework enhances learning efficiency while reducing computational complexity. The approach demonstrated outstanding performance across multiple medical imaging datasets, achieving faster convergence, improved optimization, and high predictive accuracy for image segmentation tasks.

This session highlights how advanced AI architectures can strengthen medical image analysis, support clinical decision-making, and accelerate the adoption of intelligent healthcare technologies.

Why Attend This Session?

  • Discover innovative approaches to deep learning optimization.

  • Learn how AI improves medical image segmentation.

  • Explore solutions to vanishing and exploding gradient challenges.

  • Understand the role of machine learning in healthcare innovation.

  • Gain insights into next-generation AI models for biomedical applications.

Whether you're an AI researcher, data scientist, healthcare professional, biomedical engineer, clinician, or public health researcher, this presentation offers valuable perspectives on the future of intelligent healthcare technologies.

🔗 Speaker Profile:
https://globalpublichealthcongress.com/speaker/haroon-haider-khan

🔗 Scientific Program:
https://globalpublichealthcongress.com/program/scientific-program/2026/novel-rest-block-for-gradient-optimization-in-deep-learning-models

#PublicHealth2026 #GPHEC2026 #ArtificialIntelligence #DeepLearning #MedicalAI #HealthcareInnovation #DigitalHealth #MachineLearning #MedicalResearch #GlobalHealth



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