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AI for Medical Professionals

Курс от AI CERTs
Средний≈ 23.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Healthcare is rapidly evolving as artificial intelligence transforms diagnostics, workflows, and patient care. The AI for Medical Professionals Certification stands out as a beginner-friendly, hands-on course, uniquely designed to bridge the gap between clinical practice and AI adoption—empowering clinicians and healthcare professionals to confidently apply AI tools in real-world settings, without coding or technical expertise. You’ll learn how AI can reduce documentation time, improve triage efficiency, support faster clinical decision-making, strengthen diagnostics, and optimize healthcare operations. Through practical exercises and real-world case studies, the course explores how AI-powered systems, predictive analytics, and intelligent automation are reshaping modern healthcare delivery. By the end of the course, you’ll be equipped to use AI responsibly to improve patient outcomes, streamline clinical processes, and strengthen data-driven healthcare practices. Enroll in the AI for Medical Professionals Certification Online to build future-ready clinical skills and lead smarter, more efficient healthcare delivery.

Навыки, которые вы освоите

Clinical Documentation

Программа курса

9 модулей · 102 учебных материалов

01Module 1: What is AI for Doctors? 13 материалов
Course IntroductionВидеоEbook: Module 1: What is AI for Doctors?ЧтениеAudiobook 1: What is AI for Doctors?ВидеоPodcast 1: What is AI for Doctors?Видео

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AI CERTs Team

Преподаватель курса

AI for Medical Professionals
В каталоге вашей программы

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 23.4 ч

9 модулей

Язык: Английский

Субтитры: Венгерский

Часть программы вашего университета
1.1 From Decision Support to Diagnostic IntelligenceВидео
1.2 What Makes AI in Medicine Unique?Видео
1.3 Types of Machine Learning in MedicineВидео
1.4 Common Algorithms and What They Do in HealthcareВидео
1.5 Real-World Use Cases Across Medical SpecialtiesВидео
1.6 Debunking Myths About AI in HealthcareВидео
1.7 Real Tools in Use by Clinicians TodayВидео
Activity: Multiple ChoicePLUGIN
Quiz 1Задание
02Module 2: AI in Diagnostics & Imaging 11 материалов
Ebook: Module 2: AI in Diagnostics & Imaging ЧтениеAudiobook 2: AI in Diagnostics & ImagingВидеоPodcast 2: AI in Diagnostics & ImagingВидео2.1 Introduction to Neural Networks: Unlocking the Power of AIВидео2.2 Convolutional Neural Networks (CNNs) for Visual Data: Seeing with AI's EyesВидео2.3 Image Modalities in Medical AI: AI's Multi-Modal VisionВидео2.4 Model Training Workflow: From Data Labeling to Deployment – The AI Lifecycle in MedicineВидео2.5 Human-AI Collaboration in Diagnosis: The Power of Augmented IntelligenceВидео2.6 FDA-Approved AI Tools in Diagnostic Imaging: Trust and ValidationВидеоACTIVITY: AccordionPLUGINQuiz 2Задание
03Module 3: Introduction to Fundamental Data Analysis10 материалов
Ebook: Module 3: Introduction to Fundamental Data AnalysisЧтениеAudiobook 3: Introduction to Fundamental Data AnalysisВидеоPodcast 3: Introduction to Fundamental Data AnalysisВидео3.1 Understanding Clinical Data Types—EHRs, Vitals, Lab ResultsВидео3.2 Structured vs. Unstructured Data in MedicineВидео3.3 Role of Dashboards and Visualization in Clinical DecisionsВидео3.4 Pattern Recognition and Signal Detection in Patient DataВидео3.5 Identifying At-Risk Patients via Trends and AI ScoresВидеоACTIVITY: Multiple SelectPLUGINQuiz 3Задание
04Module 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care10 материалов
Ebook: Module 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient CareЧтениеAudiobook 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient CareВидеоPodcast 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient CareВидео4.1 Predictive Models for Risk Stratification – Sepsis and Hospital ReadmissionsВидео4.2 Logistic Regression, Decision Trees, Ensemble ModelsВидео4.3 Real-Time Alerts – Early Warning Systems (MEWS, NEWS)Видео4.4 Sensitivity vs. Specificity – Metric Choice by Clinical NeedВидео4.5 ICU and ER Use Cases for AI-Triggered InterventionsВидеоACTIVITY: Problem StatementPLUGINQuiz 4Задание
05Module 5: NLP and Generative AI in Clinical Use12 материалов
Ebook: Module 5: NLP and Generative AI in Clinical UseЧтениеAudiobook 5: NLP and Generative AI in Clinical UseВидеоPodcast 5: NLP and Generative AI in Clinical UseВидео5.1 Foundations of NLP in HealthcareВидео5.2 Large Language Models (LLMs) in MedicineВидео5.3 Prompt Engineering in Clinical ContextsВидео5.4 Generative AI Use Cases – Summarization, Counselling Scripts, TranslationВидео5.5 Ambient Intelligence: Next-Gen Clinical DocumentationВидео5.6 Limitations & Risks of NLP and Generative AI in MedicineВидео5.7 Case StudyВидеоACTIVITY: TabPLUGINQuiz 5Задание
06Module 6: Ethical and Equitable AI Use11 материалов
Ebook: Module 6: Ethical and Equitable AI UseЧтениеAudiobook 6: Ethical and Equitable AI UseВидеоPodcast 6: Ethical and Equitable AI UseВидео6.1 Algorithmic Bias – Race, Gender, Socioeconomic ImpactВидео6.2 Explainability and Transparency (SHAP and LIME)Видео6.3 Validating AI Across PopulationsВидео6.4 Regulatory Standards – HIPAA, GDPR, FDA/EMA ComplianceВидео6.5 Drafting Ethical AI Use PoliciesВидео6.6 Case Study: Biased Pulse Oximetry DetectionВидеоACTIVITY: True or FalsePLUGINQuiz 6Задание
07Module 7: Evaluating AI Tools in Practice12 материалов
Ebook: Module 7: Evaluating AI Tools in PracticeЧтениеAudiobook 7: Evaluating AI Tools in PracticeВидеоPodcast 7: Evaluating AI Tools in PracticeВидео7.1 Core Metrics: Understanding the BasicsВидео7.2 Confusion Matrix & ROC Curve InterpretationВидео7.3 Metric Matching by Clinical ContextВидео7.4 Interpreting AI Outputs: Enhancing Clinical Decision-MakingВидео7.5 Critical Evaluation of Vendor Claims: Ensuring Reliability and EffectivenessВидео7.6 Red Flags in Commercial AI Tools: Recognizing and Mitigating RisksВидео7.7 Checklist: “10 Questions to Ask Before Buying AI Tools”ВидеоActivity: AccordionPLUGINQuiz 7Задание
08Module 8: Implementing AI in Clinical Settings 15 материалов
Ebook: Module 8: Implementing AI in Clinical SettingsЧтениеAudiobook 8: Implementing AI in Clinical SettingsВидеоPodcast 8 - Implementing AI in Clinical SettingsВидео8.1 Identifying Department-Specific AI Use CasesВидео8.2 Mapping AI to Workflows (Pre-diagnosis, Treatment, Follow-up) Видео8.3 Pilot Planning: Timeline, Data, Feedback CyclesВидео8.4 Team Roles – Clinical Champion, AI Specialist, IT AdminВидео8.5 Monitoring AI Errors – Root Cause AnalysisВидео8.6 Change Management in Clinical TeamsВидео8.7 Example: ER Workflow with Triage AI IntegrationВидео8.8 Scaling AI Solutions Across the Healthcare SystemВидео8.9 Evaluating AI Impact and Performance Post-DeploymentВидеоCourse SummaryВидеоACTIVITY: Case StudyPLUGINQuiz 8Задание
09AI Agents For Doctor8 материалов
Ebook: AI Agents For DoctorЧтение1.1 AI Agents and Their Role in HealthcareВидео1.2 Core Characteristics of AI AgentsВидео1.3 Importance of AI AgentsВидео1.4 Significance of AI Agents in HealthcareВидео1.5 Types of AI AgentsВидео1.6 Applications and Trends in HealthcareВидео1.7 Case Study - AI Agents for Healthcare Data UnificationВидео