DXP Software | AI Innovation Lab
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AI in Healthcare: Advancements in Disease Detection

  • Date:(02-05) October, 2025
  • Time :2:00 pm to 4:pm (4 Days)
  • Vanue:MedArmor Clinic
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Agenda & Schedule

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Day-01: Event Opening and Keynote Sessions

Start your journey into the world of AI in healthcare with an opening session and expert keynote addresses. Topics covered will include:

  • Event Introduction and Welcome

  • Keynote Address: The Current State of AI in Healthcare

  • The Role of AI in Modern Medical Practices

  • Industry Insights: Opportunities and Challenges in AI for Disease Detection

  • Case Studies: Successful AI Implementations in Healthcare

Day-02: Core AI Strategies and Skills for Healthcare

Explore the core strategies and skills needed for integrating AI into healthcare. Key topics will include:

  • Effective Problem-Solving Techniques in AI-Driven Healthcare

  • Data Analysis and Analytics in AI Healthcare Systems

  • Communication Strategies for AI Consultants in the Medical Field

  • Workshop: Case Study Analysis and Solutions in AI for Healthcare

Day-03: Specialized AI Consulting Tracks in Healthcare

Deep dive into specialized tracks on AI and its applications in various healthcare sectors, including:

  • AI in Healthcare HR and Talent Management Best Practices

  • Technology and IT Trends in AI-Driven Healthcare Solutions

  • Marketing AI Innovations in Healthcare

  • Operations and Process Improvement with AI Integration

Day-04: Advanced AI Consulting Tracks

On the final day, we continue with in-depth discussions on advanced topics in AI consulting for healthcare:

  • Advanced HR and Talent Management Consulting for AI Projects

  • Exploring Cutting-Edge Technology and IT Solutions in AI Healthcare

  • Effective Marketing and Sales Strategies for AI in Healthcare

  • Operational Strategies for Scaling AI Solutions in Healthcare

Meals & Refreshmnets (04 Days Included)

  • Launch
  • Snacks

Frequently Asked & Question

By providing comprehensive event details, you can enhance attendees' experience and ensure that they have all the information they need to participate in and enjoy your event or conference. Keep the information up-to-date and easily accessible through your event website or promotional materials.

AI technologies are being increasingly utilized in healthcare for tasks such as diagnosing diseases, predicting patient outcomes, recommending treatments, and personalizing care plans. AI algorithms can analyze large amounts of data more quickly and accurately than humans, leading to better decision-making and improved patient outcomes.

AI-driven tools like deep learning models are being used for medical imaging analysis (e.g., detecting tumors in radiology scans), genomic data analysis (e.g., identifying genetic markers for disease), and even virtual assistants that help doctors make faster, more informed diagnoses.

AI algorithms are capable of analyzing medical images, genetic data, and electronic health records (EHRs) to identify early warning signs of diseases like cancer and cardiovascular conditions. These tools can spot subtle patterns in data that human clinicians might miss, leading to earlier detection and more effective treatment.

Some of the main challenges include ensuring the quality and accuracy of AI models, data privacy and security concerns, the integration of AI tools with existing healthcare systems, and the need for proper regulation and ethical considerations.

AI is playing a significant role in making healthcare more accessible by enabling telemedicine, remote monitoring, and diagnostic tools that can be used in underserved or rural areas. It also helps reduce healthcare costs and improves the efficiency of healthcare delivery.

The future of AI in healthcare is vast, with potential applications ranging from fully autonomous diagnostic systems to AI-driven robotic surgeries and advanced predictive analytics. As AI technology continues to evolve, it is expected to play an even more significant role in improving healthcare outcomes and operational efficiency.
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Dr. Doan Trong Nghia
Master's Degree Medical Doctor, Specialist Level II
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Dr Nguyen Duc Phuong
AI Head & Data Scientist
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Dr Trinh Phuoc Toan
AI Engineer & Data Scientist
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