Workshop Details
Ai in Health Care
Workshop Name
Ai in Health Care
Provided By: Health Tech Micro Consultants
Duration: 3 Days
Course materials
Language: english
Certificate: Yes
Course Overview
This comprehensive workshop introduces healthcare providers to the fundamental concepts, applications, and ethical considerations of Artificial Intelligence (AI) in modern medical practice. Participants will gain hands-on experience with AI technologies while exploring their transformative potential in clinical settings. The course covers essential topics including AI-assisted diagnosis, treatment planning, and operational procedures, while addressing common misconceptions about AI's role in clinical decision-making and workflow optimization.
Learning Objective
By the end of this workshop, participants will be able to:
● Analyze the role of Artificial Intelligence and assess its impact on contemporary healthcare delivery.
● Define and differentiate AI's core components, including machine learning, deep learning, and language models, with specific focus on their applications in:
- Disease detection and diagnosis.
- Treatment planning and personalization.
- Clinical decision support.
- Risk assessment and stratification.
- Disease prediction and prevention.
● Identify and evaluate key ethical considerations in medical AI, including patient data privacy, algorithmic bias, transparency, and regulatory compliance.
● Develop practical competencies in utilizing AI-powered medical technologies for diagnostics, treatment support, and practice management
Recommended For
This intensive workshop is highly recommended for healthcare providers, including physicians, nurses, clinical specialists, researchers, and any health sector professional seeking practical skills and a deep understanding of implementing AI and data science in their practice or organization.
Format: 3-Day Intensive Course | Time: 4:00 PM - 8:00 PM daily
| Day | Module Focus | Key Topics Covered |
|---|---|---|
|
Day 1 |
Foundations and Machine Learning |
• Explore current and emerging AI applications in diagnostics, treatment planning, and patient management. • Examine ethical and regulatory frameworks, including bias mitigation and data privacy protection. • Master Python programming fundamentals and implement machine learning models for disease prediction. |
|
Day 2 |
Deep Learning and Natural Language Processing |
• Develop comprehensive understanding of deep learning architectures and neural networks for medical imaging analysis. • Apply natural language processing (NLP) techniques and large language models to clinical text data and documentation. |
|
Day 3 |
Application Development and Implementation |
• Translate cutting-edge AI research findings into practical, deployable healthcare solutions. • Integrate machine learning, deep learning, and NLP technologies into existing clinical workflows and applications. • Design, propose, and prototype AI-driven solutions that address real-world medical challenges and improve patient outcomes. |
Capstone Project 30
The workshop culminates in a collaborative capstone experience where participants work in interdisciplinary teams to:
- Identify a specific medical challenge or opportunity for AI intervention.
- Design a comprehensive AI solution incorporating course concepts and methodologies.
- Develop a detailed implementation proposal with consideration for clinical workflows, ethical implications, and regulatory requirements.
- Present findings and recommendations to instructors and peers on the final day, followed by constructive feedback and expert evaluation
- Workshop Instructors
The workshop is led by experts from Tufts University:
- Hend Alqaderi
- Assistant Professor
- Director, Dental Artificial Intelligence Laboratory
- Tufts University School of Dental Medicine & Tufts Institute for Artificial Intelligence
- Kyle Monahan
- Senior Data Scientist & Manager, Data Science Services
- Tufts Technology Services (TTS) | Tufts University