1 option
AI in medical & healthcare.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Medical care--Technological innovations.
- Medical care.
- Medical technology.
- Physical Description:
- 1 online resource (1 video file (6 hr., 09 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- In this 6-hour course, you will explore the intersection of AI and healthcare, learning to develop AI solutions for real-world medical challenges. Gain hands-on experience with projects involving disease detection, patient management, and medical imaging applications in healthcare. What I will be able to do after this course Develop AI-driven personal health assistant applications Build mental health support chatbots for patient interaction Train models for disease prediction like heart disease and diabetes Use AI to analyze medical imagery for pneumonia and skin cancer Implement cutting-edge AI techniques for brain tumor detection Course Instructor(s) Ritesh Kanjee, an expert in embedded electronics, FPGA design, and machine learning, has published two IEEE papers and works in defense research. He holds a Master's in Electronic Engineering and specializes in augmented reality, image processing, and AI technologies. Who is it for? This course is designed for healthcare professionals, data scientists, and AI enthusiasts interested in applying AI in healthcare. A basic understanding of Python and machine learning is recommended, though foundational concepts are covered for success.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781808086311
- OCLC:
- 1592156920
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.