“Intensive Vascular Ultrasound Interpretation Review and Registry Preparation 2014 (CME Videos)” has been added to your cart. View cart

Artificial Intelligence in Radiology 2023 (Course)

Artificial Intelligence in Radiology 2023 (Course)

40 $

Delivery time: Maximum to 1 hours

Format : 16 Videos

File Size : 2.16 GB

This course on Artificial Intelligence in Radiology provides an overview of AI’s applications in radiology, its potential to enhance clinical practice, its limitations, and its ethical and economic considerations. The course is divided into five sessions covering topics such as AI applications in neuro, breast, abdominal, cardiothoracic, nuclear, pediatric, and MSK imaging, workflow optimization, quality assurance, medicolegal considerations, and education.

Category: Video Medical

Description

Artificial Intelligence in Radiology 2023 (Course)

Course Description:

The “Artificial Intelligence in Radiology” course is designed to equip radiologists and imaging professionals of all levels of experience with the essential knowledge and skills needed to navigate the integration of AI into healthcare.
The course is developed in collaboration with Artificial Intelligence Medical Education (AiME), ensuring high-quality and up-to-date content.

Course Objectives:

Provide participants with an introduction to the applications of artificial intelligence in the field of radiology.
Explore the potential of AI to enhance clinical practice and decision-making in radiology.
Address both the capabilities and limitations of AI technology in radiology.

Key Features:

Practical and Clinically Relevant: The course focuses on practical applications and relevance to clinical practice.
Strengths and Weaknesses: The course offers an in-depth exploration of both the strengths and weaknesses of AI technology in radiology.
Foundation Building: Designed for participants at all experience levels, the course builds a foundational understanding of AI’s role in radiology.

Benefits:

Comprehensive Overview: Participants will gain a comprehensive overview of how artificial intelligence is transforming the field of radiology.
Enhanced Decision-Making: Participants will learn how AI can contribute to more informed and accurate decision-making in radiology.
Future Preparedness: The course will equip participants with the knowledge needed to navigate an AI-integrated healthcare landscape.

Who Should Attend:

Radiologists
Imaging Professionals
Healthcare Practitioners Interested in Radiology and AI

In summary, the “Artificial Intelligence in Radiology 2023” course is a valuable opportunity for radiologists and imaging professionals to understand the implications of AI in radiology, explore its potential benefits, and develop the necessary knowledge and skills to effectively incorporate AI into their practice.

Artificial Intelligence in Radiology

Session 1: Big Picture AI
Overview, Terms and Methods	Jordan Perchik, MD
Preparing for the Future of AI in Radiology	Jordan Perchik, MD
Session 2: Radiology Appilcations I
AI Applications in Neuro Imaging	Jordan Perchik, MD
AI Applications in Breast Imaging	Jordan Perchik, MD
AI Applications in Abdominal Imaging	Jordan Perchik, MD
AI Applications in Cardiothoracic Imaging	Jordan Perchik, MD
Session 3: Radiology Applications II
AI Applications in Nuclear Imaging	Jordan Perchik, MD
AI Applications in Pediatric Imaging	Jordan Perchik, MD
AI Applications in MSK Imaging	Jordan Perchik, MD
AI and Workflow Optimization	Jordan Perchik, MD
Session 4: Economics, Ethics and the Marketplace
Economics and Ethics of Radiology AI	Jordan Perchik, MD
The AI Marketplace	Jordan Perchik, MD
Evaluating an AI Application	Jordan Perchik, MD
Session 5: Quality Assurance, Medicolegal Considerations and Education
Quality Assurance in Clinical AI	Jordan Perchik, MD
Medicolegal Considerations in Clinical AI	Jordan Perchik, MD
State of AI Education in Radiology	Jordan Perchik, MD

End