Disruptive AI in the Healthcare Industry

Artificial Intelligence is transforming the healthcare industry at an unprecedented pace, causing significant changes in diagnosis, treatment, operations, and patient engagement. This three-day workshop will explore how AI technologies—such as predictive diagnosis, advancements in medical imaging, robotic process automation (RPA), robot-assisted surgeries, personalized medicine, AI agents, innovations in drug discovery, and virtual health assistants—are revolutionizing healthcare delivery.

Participants will gain insight into the technological advancements driving these changes, examine real-world case studies, and discover how AI improves decision-making, operational efficiency, and patient outcomes. The workshop is designed to equip healthcare professionals, managers, and decision-makers with the knowledge to embrace AI-driven solutions strategically.

Workshop Overview

Learning Outcomes

• Examine the impact of AI in healthcare sectors.

• Explore how predictive diagnosis enhances early detection and preventive care.

• Analyze AI's revolution in medical imaging accuracy.

• Describe how Robotic Process Automation (RPA) streamlines operations.

• Evaluate the benefits of robot-assisted surgeries in precision medicine.

• Understand personalized medicine through AI-driven analytics.

• Investigate AI agents and virtual health assistants in patient interactions.

• Assess AI's role in accelerating drug discovery.

• Identify opportunities for AI integration in healthcare.

Detailed Course Schedule

• Day 1:

  • AI Ethical Considerations and Project Key Elements

  • Prior Layers to AI

  • Predicting Diseases with Machine Learning

  • Complex Diagnoses with Neural Networks

  • Diagnosing Diseases with Computer Vision

• Day 2:

  • Drug Discovery with Generative Deep Learning

  • NLPs and AI Agents

  • Robot-Assisted Surgery

  • Predictive Diagnosis with Sequential DL

  • Administrative Automation with RPAs

  • Future of AI in Healthcare

• AI Ethical Considerations.

• AI-driven predictive diagnosis and early disease detection.

• Revolution in medical imaging with faster, more accurate results.

• Robotic Process Automation (RPA) for enhanced operational efficiency.

• Robot-assisted surgeries for precision and quicker recovery.

• Personalized medicine through AI analysis of patient data.

• Virtual health assistants for patient interaction and monitoring.

• AI's impact on drug discovery and development.

• Case studies and strategies for AI integration in healthcare.

What will it be about?