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AI+ Healthcare™

Course code: AP480

Revolutionize Patient Care with Advanced AI

  • Healthcare Transformation: Learn how AI reshapes predictive analytics, diagnostics, and patient-centric solutions
  • Comprehensive Modules: Covers ML, NLP, and ethical healthcare applications
  • Practical Impact: Address real challenges like personalised medicine and operational efficiency
  • Regulatory Navigation: Understand compliance and legal standards for AI in healthcare

Price of the certification exam is included in the price of the course.

175 EUR

212 EUR including VAT

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 175 EUR

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date		 Place
Type Course
duration		 Language Price without VAT
Upon request Self-paced 8 hours en 175 EUR Register
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Course description

Demand for AI-Certified Healthcare Professionals:

Healthcare organizations seek certified professionals who can balance innovation with patient safety and data privacy.

Mitigating AI Risks in Healthcare:

Misuse of AI in healthcare can compromise patient care and trust. This certification helps professionals avoid such risks.

Designing AI Strategies for Quality Healthcare:

Certified professionals contribute to designing healthcare AI strategies that enhance care quality while ensuring compliance and safety.

Gaining Career Advantage:

As AI adoption in healthcare accelerates, this certification gives professionals a distinct advantage in advancing their careers.

  • PathAI
  • Viz.ai
  • Tempus
  • VirtuSense

Target group

Healthcare Professionals: Enhance patient care through AI-driven diagnostics and decision support.

Data Scientists & Analysts: Leverage AI for health data analysis and predictive modeling.

Medical Technologists: Implement AI solutions for improved medical imaging and diagnostics.

IT Specialists & System Integrators: Optimize healthcare infrastructure with AI-powered systems.

Students & New Graduates: Gain valuable AI healthcare skills to excel in a growing industry.

Course structure

Course Overview

  1. Course IntroductionPreview

Module 1: Introduction to Artificial Intelligence (AI) in Healthcare

  1. 1.1 Fundamentals of Artificial Intelligence
  2. 1.2 AI in the Healthcare Ecosystem
  3. 1.3 Ethical and Regulatory Framework

Module 2: Data Handling and AI Modeling

  1. 2.1 Data Acquisition and Management
  2. 2.2 Preprocessing Techniques for Medical Data
  3. 2.3 Model Development and Validation

Module 3: AI in Medical Imaging

  1. 3.1 Introduction to Medical Imaging
  2. 3.2 AI Techniques in Imaging
  3. 3.3 Implementation and Future Trends

Module 4: AI in Diagnostics and Predictive Analytics

  1. 4.1 AI-powered Diagnostic Systems
  2. 4.2 Predictive Analytics in Healthcare
  3. 4.3 Challenges and Solutions

Module 5: AI in Treatment Planning and Personalized Medicine

  1. 5.1 Customized Treatment Solutions
  2. 5.2 Machine Learning Models in Treatment
  3. 5.3 Case Studies and Ethics

Module 6: AI in Patient Monitoring and Care Management

  1. 6.1 Wearable Technologies and IoT in Healthcare
  2. 6.2 Remote Patient Monitoring Systems
  3. 6.3 Impact on Healthcare Delivery

Module 7: AI in Health Insurance and Healthcare Management

  1. 7.1 AI in Health Insurance
  2. 7.2 Operational Efficiency in Healthcare
  3. 7.3 Future of AI in Health Systems

Module 8: Advanced Topics and Future Directions in AI+ Healthcare

  1. 8.1 Innovations in AI and Their Impact on Healthcare
  2. 8.2 Interdisciplinary Approaches
  3. 8.3 Preparing for the Future

Optional Module: AI Agents for Healthcare

  1. 1. What Are AI Agents for Healthcare
  2. 2. Applications of AI Agents in Healthcare
  3. 3. Aligned Examples

Prerequisites

Basic networking knowledge, Python familiarity, fundamental AI/ML concepts

Do you need advice or a tailor-made course?

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+420 731 175 867

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Certification

50 questions, 70% passing, 90 minutes, online proctored exam

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