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Data Augmented Technology Assisted Medical Decision Making
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Data Augmented Technology Assisted Medical Decision Making

Learn to use AI/ML for enhanced medical diagnoses. Explore ethical considerations and critically evaluate AI studies.

Course Cost

₹ 2,699

Beginner

Skill Level

10 Hours

Self-paced lessons

This course teaches healthcare professionals how to effectively use AI and machine learning to augment diagnostic decision-making. Designed for medical students, residents, fellows, physicians, advanced practice providers, and nurses, it covers the crucial role, strengths, and limitations of AI/ML in evidence-based medicine. Students learn to evaluate machine learning studies for bias, apply ML outputs to diagnostic decisions, and identify legal and ethical issues in healthcare AI. The curriculum includes foundational biostatistics, critical appraisal of AI/ML studies, and practical skills for using AI to enhance the diagnostic process.

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What you'll learn

  • Describe the role, strengths, and limitations of AI/ML in evidence-based medical decision making

  • Evaluate machine learning studies for bias and systematic error

  • Apply machine learning study results and outputs to diagnostic decisions

  • Interpret statistical measures used to evaluate ML model performance

  • Critically appraise AI/ML studies and determine their clinical applicability

  • Identify legal and ethical issues in healthcare AI/ML use

  • Understand the sources and dimensions of algorithmic bias in healthcare

  • Apply best practices for AI/ML use in clinical settings

Skills you'll gain

AI Law and Ethics
AI for Diagnosis
AI/ML Methodologies
Medical Decision Making
evidence-based medicine
biostatistics
diagnostic process

This course includes:

3 Hours PreRecorded video

18 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course introduces healthcare professionals to the use of AI and machine learning in medical decision-making. It covers the fundamentals of AI/ML in healthcare, including data analysis, model development, and evaluation. Students learn to critically appraise AI/ML studies, understand statistical measures used in model evaluation, and apply ML outputs to clinical decisions. The curriculum also addresses ethical and legal considerations in healthcare AI, including bias, privacy, and governance. By the end of the course, participants will be equipped to effectively use AI/ML technologies to augment their diagnostic processes while navigating the associated challenges and ethical considerations.

Introduction to Artificial Intelligence and Machine Learning

Module 1 · 2 Hours to complete

Foundational Biostatistics and Epidemiology in AI/ML for Health Care Professionals

Module 2 · 3 Hours to complete

Using AI/ML to Augment Diagnostic Decisions

Module 3 · 2 Hours to complete

Ethical and Legal Use of AI/ML in the Diagnostic Process

Module 4 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Augmented Technology Assisted Medical Decision Making

Beginner

Skill Level

10 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.