المعلوماتية الحيوية
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ما هو
برنامج المعلوماتية الحيوية؟
This course will provide healthcare professionals with an understanding of applying AI to concrete problems in medicine (diagnosis, prognosis, and treatment). Furthermore, it will allow participants to understand different types of clinical data and how AI can be applied to each of them; how ethical considerations affect the application of AI; limitations of AI; and expected future trends in AI in medicine.
متطلب سابق للدورة
We’re excited that you’re interested in accessing the courses from this program. To get started, all you need to do is complete the training called “Name of the training”. Don’t worry, it’s super easy and the best part is that you’ll even receive a certificate once you finish!
To complete the training and get your certificate, simply head over to Udemy. They have all the resources and materials you need to successfully complete the training.
Happy learning!
البرنامج الرئيسي
نتائج التعلم
- Understand data types in a clinical environment.
- Understand the current state-of-the-art AI techniques applied in medicine, including AI for images, structured data, unstructured data, and genomic data.
- Understand how AI can help in diagnosis, prognosis, and treatment.
- Understand ethical consideration in implementing AI-based decision support.
- Limits of AI and expected future trends.
الرحلة
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Receive Prestigious
Course Certificates
- Core mathematical foundations. In-depth study of calculus and linear algebra.
- Python in practice. Mastery of Python programming, a crucial skill in artificial intelligence.
- Classical machine learning. Comprehensive understanding of techniques like linear and logistic regression.
- Neural networks. Advanced exploration of neural networks and their revolutionary impact on artificial intelligence.
- Programming in Python
- Mathematics for Machine Learning
- Neural Networks
- Deep Learning Libraries
- AI in Sciences
Completion of designated prerequisite courses on Coursera.
Successfully passing the in-person qualification exam.
- Clinical data diversity. Comprehensive understanding of various clinical data types.
- Artificial intelligence in medicine. Proficiency in utilizing advanced artificial intelligence techniques in healthcare.
- Healthcare transformation. Insight into the significant role of artificial intelligence in revolutionizing healthcare.
- Ethical artificial intelligence. Developing decision-making skills for ethical use of artificial intelligence in medical contexts.
- Foresight. Ability to foresee and understand emerging trends in artificial intelligence within the medical sector.
- R Programming Basics
- Bulk RNA Sequencing Data Analysis
- Computational Biology
- Ethical Decision-Making
- AI in Medicine
Completion of designated prerequisite courses on Coursera.
Successfully passing the in-person qualification exam.
شركاء البرنامج
From startups to the world’s largest companies
التعليمات
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Lorem ipsum dolor sit amet: www.kaust.edu.sa
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