AI+ Healthcare Fundamentals™

Kód kurzu: AP480

Tato část není lokalizována

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

Formerly known as AI+ Healthcare™

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
Akční cena
3 500 Kč

4 235 Kč s DPH

Výběr termínů

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 3 500 Kč Akční cena

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
Na vyžádání Self-paced 8 hodin en A 3 500 Kč Registrovat
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Kontakt

Popis kurzu

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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

Cílová skupina

Tato část není lokalizována

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.

Struktura kurzu

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Course Overview

Module 1: Introduction to AI in Healthcare

  • 1.1 Fundamentals of Artificial Intelligence
  • 1.2 AI in the Healthcare Ecosystem
  • 1.3 Ethical and Regulatory Framework
  • 1.4 Module 1:Quiz (5 MCQs)

Module 2: Data Handling and AI Modelling

  • 2.1 Data Acquisition and Management
  • 2.2 Preprocessing Techniques for Medical Data
  • 2.3 Model Development and Validation
  • 2.4 QUIZ: MODULE 2

Module 3: AI in Medical Imaging

  • 3.1 Introduction to Medical Imaging
  • 3.2 AI Techniques in Imaging
  • 3.3 Implementation and Future Trends
  • 3.4 Module 3 :Quiz 1 (5 MCQs)

Module 4: AI in Diagnostics and Predictive Analytics

  • 4.1 AI-powered Diagnostic Systems
  • 4.2 Predictive Analytics in Healthcare
  • 4.3 Challenges and Solutions
  • 4.4 Quiz: Module 4

Module 5: AI in Treatment Planning and Personalized Medicine

  • 5.1 Customized Treatment Solutions
  • 5.2 Machine Learning Models in Treatment
  • 5.3 Case Studies and Ethics
  • 5.4 Quiz: Module 5

Module 6: AI in Patient Monitoring & Care Management

  • 6.1 Wearable Technologies and IoT in Healthcare
  • 6.2 Remote Patient Monitoring Systems
  • 6.3 Impact on Healthcare Delivery
  • 6.4 Quiz: Module 6

Module 7: AI in Health Insurance and Healthcare Management

  • 7.1 AI in Health Insurance
  • 7.2 Operational Efficiency in Healthcare
  • 7.3 Future of AI in Health Systems
  • 7.4 Quiz: Module 7

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

  • 8.1 Innovations in AI and Their Impact on Healthcare
  • 8.2 Interdisciplinary Approaches
  • 8.3 Preparing for the Future
  • 8.4 Quiz: Module 8

Optional Module: AI Agents for Healthcare

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

Předpokládané znalosti

Tato část není lokalizována

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

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produktová podpora

Certifikace

Tato část není lokalizována

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

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