AI for Medical Professionals

AI for Medical Professionals

位教师：AI CERTs Team

访问权限由 New York State Department of Labor 提供

8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Enhance Diagnostics: Use AI tools like Python and TensorFlow to improve diagnostic accuracy and patient care decisions.
Data-Driven Clinical Insights: Apply predictive analytics and ML models for personalized treatment planning and outcome forecasting.
Automate Medical Workflows: Leverage NLP, Keras, and Hugging Face for automating tasks like report generation and clinical documentation.
Visualize & Interpret Data: Analyze healthcare data using Tableau, Matplotlib, and SQL to drive actionable insights and research outcomes.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

8 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有8个模块

AI For Medical Profressionals course equips medical professionals to harness the power of AI in clinical practice, bridging medicine and cutting-edge technology. This certification delivers practical insights into AI-driven diagnostics, predictive analytics, and clinical decision support, empowering doctors to make faster, more accurate decisions while enhancing patient outcomes. Through hands-on projects and real-world case studies, participants will explore AI applications in medical imaging, personalized treatment planning, and workflow optimization.

Designed for medical practitioners, students, administrators, and researchers, the program balances technical understanding with clinical relevance, covering foundational data analysis, natural language processing, and generative AI in healthcare settings. Ethical considerations, fairness, and equitable AI use are embedded throughout, ensuring responsible adoption in real-world scenarios. By the end of the course, learners will confidently evaluate, implement, and monitor AI tools in clinical environments, improving operational efficiency and patient care quality. Your journey concludes with the demonstrating your readiness to lead AI-driven innovation in healthcare and reinforcing your professional expertise in an increasingly tech-enabled medical landscape.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

涵盖的内容

11个视频1篇阅读材料1个作业2个插件

11个视频总计139分钟

Course Introduction 5分钟
Audiobook Introduction 6分钟
Audiobook 1 -What is AI for Doctors 43分钟
Podcast 1 - What is AI for Doctors 39分钟
1.1 From Decision Support to Diagnostic Intelligence 4分钟
1.2 What Makes AI in Medicine Unique? 5分钟
1.3 Types of Machine Learning in Medicine 8分钟
1.4 Common Algorithms and What They Do in Healthcare 8分钟
1.5 Real-World Use Cases Across Medical Specialties 9分钟
1.6 Debunking Myths About AI in Healthcare 5分钟
1.7 Real Tools in Use by Clinicians Today 6分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 1 30分钟

2个插件总计30分钟

Module 1: What is AI for Doctors? 15分钟
ACTIVITY: Multiple Choice 15分钟

涵盖的内容

8个视频1篇阅读材料1个作业2个插件

8个视频总计157分钟

Audiobook 2 -AI in Diagnostics & Imaging 77分钟
Podcast 2 - AI in Diagnostics & Imaging 45分钟
2.1 Introduction to Neural Networks: Unlocking the Power of AI 9分钟
2.2 Convolutional Neural Networks (CNNs) for Visual Data: Seeing with AI's Eyes 6分钟
2.3 Image Modalities in Medical AI: AI's Multi-Modal Vision 5分钟
2.4 Model Training Workflow: From Data Labeling to Deployment – The AI Lifecycle in Medicine 5分钟
2.5 Human-AI Collaboration in Diagnosis: The Power of Augmented Intelligence 4分钟
2.6 FDA-Approved AI Tools in Diagnostic Imaging: Trust and Validation 6分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 2 30分钟

2个插件总计30分钟

Module 2: AI in Diagnostics & Imaging 15分钟
ACTIVITY: Accordion 15分钟

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计177分钟

Audiobook 3 -Introduction to Fundamental Data Analysis 85分钟
Podcast 3 - Introduction to Fundamental Data Analysis 52分钟
3.1 Understanding Clinical Data Types—EHRs, Vitals, Lab Results 8分钟
3.2 Structured vs. Unstructured Data in Medicine 8分钟
3.3 Role of Dashboards and Visualization in Clinical Decisions 8分钟
3.4 Pattern Recognition and Signal Detection in Patient Data 10分钟
3.5 Identifying At-Risk Patients via Trends and AI Scores 6分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 3 30分钟

2个插件总计30分钟

Module 3: Introduction to Fundamental Data Analysis 15分钟
ACTIVITY: Multiple Select 15分钟

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计220分钟

Audiobook 4 -Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care 129分钟
Podcast 4 - Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care 60分钟
4.1 Predictive Models for Risk Stratification – Sepsis and Hospital Readmissions 5分钟
4.2 Logistic Regression, Decision Trees, Ensemble Models 6分钟
4.3 Real-Time Alerts – Early Warning Systems (MEWS, NEWS) 6分钟
4.4 Sensitivity vs. Specificity – Metric Choice by Clinical Need 7分钟
4.5 ICU and ER Use Cases for AI-Triggered Interventions 7分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 4 30分钟

2个插件总计30分钟

Module 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care 15分钟
ACTIVITY: Problem Statement 15分钟

涵盖的内容

9个视频1篇阅读材料1个作业2个插件

9个视频总计197分钟

Audiobook 5 -NLP and Generative AI in Clinical Use 93分钟
Podcast 5 - NLP and Generative AI in Clinical Use 66分钟
5.1 Foundations of NLP in Healthcare 5分钟
5.2 Large Language Models (LLMs) in Medicine 8分钟
5.3 Prompt Engineering in Clinical Contexts 7分钟
5.4 Generative AI Use Cases – Summarization, Counselling Scripts, Translation 6分钟
5.5 Ambient Intelligence: Next-Gen Clinical Documentation 3分钟
5.6 Limitations & Risks of NLP and Generative AI in Medicine 5分钟
5.7 Case Study 3分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 5 30分钟

2个插件总计30分钟

Module 5: NLP and Generative AI in Clinical Use 15分钟
ACTIVITY: Tab 15分钟

涵盖的内容

8个视频1篇阅读材料1个作业2个插件

8个视频总计153分钟

Audiobook 6 -Ethical and Equitable AI Use 69分钟
Podcast 6 - Ethical and Equitable AI Use 49分钟
6.1 Algorithmic Bias – Race, Gender, Socioeconomic Impact 7分钟
6.2 Explainability and Transparency (SHAP and LIME) 9分钟
6.3 Validating AI Across Populations 7分钟
6.4 Regulatory Standards – HIPAA, GDPR, FDA/EMA Compliance 4分钟
6.5 Drafting Ethical AI Use Policies 5分钟
6.6 Case Study: Biased Pulse Oximetry Detection 3分钟

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 6 30分钟

2个插件总计30分钟

Module 6: Ethical and Equitable AI Use 15分钟
ACTIVITY: True or False 15分钟

涵盖的内容

9个视频1篇阅读材料1个作业2个插件

9个视频总计140分钟

Audiobook 7 -Evaluating AI Tools in Practice 69分钟
Podcast 7 - Evaluating AI Tools in Practice 36分钟
7.1 Core Metrics: Understanding the Basics 5分钟
7.2 Confusion Matrix & ROC Curve Interpretation 4分钟
7.3 Metric Matching by Clinical Context 5分钟
7.4 Interpreting AI Outputs: Enhancing Clinical Decision-Making 4分钟
7.5 Critical Evaluation of Vendor Claims: Ensuring Reliability and Effectiveness 6分钟
7.6 Red Flags in Commercial AI Tools: Recognizing and Mitigating Risks 6分钟
7.7 Checklist: “10 Questions to Ask Before Buying AI Tools” 6分钟