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Aster Health Academy > Technology > Artificial Intelligence in Healthcare: Theory to Practice
5th Batch

Artificial Intelligence in Healthcare: Theory to Practice

Integrate AI in healthcare for a smarter future

Course Outcomes:

  • Tailored experiential (practical oriented) curriculum designed for healthcare professionals
  • More than 50% curriculum dedicated to the practical application of artificial intelligence in solving healthcare challenges
  • Live weekend sessions by top Artificial Intelligence faculty of Indian Institute of Science
  • Dedicated mentorship by Artificial Intelligence expert faculty
  • Exclusive mathematics/computing bridge module designed for healthcare professionals
  • Certificate from Indian Institute of Science and Aster Health Academy

About the course:

This comprehensive program is designed to equip healthcare professionals with the knowledge and skills required to harness the power of Artificial Intelligence (AI) in the field of healthcare. Throughout this program, you will delve into the theoretical as well as practical aspects of Artificial Intelligence in solving complex healthcare problems. By the end of this program, you will not only understand the fundamental principles of Artificial Intelligence but also be adept at applying AI methods to address real-world healthcare challenges.

This all-inclusive program is thought by expert Artificial Intelligence faculty members of the Indian Institute of Science (IISc) and will also have an exclusive Mathematics/Computing bridge module designed for healthcare professionals, ensuring you have the essential foundation required to excel in this program. Get ready to embark on an exciting journey, led by the esteemed faculty of IISc, that bridges the gap between theory and practice, empowering you to make a significant impact in the dynamic realm of Artificial Intelligence-driven healthcare.

Curriculum:


Module 1: Foundations of AI in Healthcare*

1
Digital Data and Representation

Basics of digital data (bits, bytes, data formats)

Data representation and encoding

2
Mathematical Foundations

Basic mathematics (linear algebra, probability, optimization)

Vectors, matrices, linear transformations, probability distributions, optimization techniques

3
Healthcare Data and Systems

Data in healthcare (types, sources, challenges)

Electronic health records (EHRs), medical images, genomics data

Information systems in healthcare (informatics, data warehousing, data mining)

Module 2: AI Techniques and Applications*

1
Machine Learning and Python basics

Machine learning methods (supervised, unsupervised, deep learning)

Regression, classification, clustering, dimensionality reduction, neural networks

Essential Python libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-learn)

2
Medical Image Analysis and NLP

Medical image formation

Medical image analysis (segmentation, registration, classification)

Natural language processing (text classification, named entity recognition, question answering, word embeddings)

3
Python Programming

Introduction to Python programming (Google Colab, print statements, comments, variables, input/output, operators)

Python programming (conditional statements, loops, functions, classes, OOP)

Module 3: Practical Applications and Challenges*

1
AI in Healthcare

Need for artificial intelligence in healthcare

Potential applications and benefits

AI evaluation metrics

2
Challenges and Ethics

Challenges in healthcare data handling and curation (data quality, privacy, bias, ethics)

AI devices: Regulatory affairs (FDA approval process, ethical considerations, regulatory compliance)

3
Projects and Practical Applications

Guided projects using MONAI and classification tasks

Who this course is for:

This course is tailored for healthcare professionals, data scientists, researchers, academics, health IT professionals, policy makers, administrators, and aspiring entrepreneurs who are passionate about leveraging Artificial Intelligence to transform healthcare. This comprehensive program equips participants with the knowledge and skills to apply Artificial Intelligence techniques in areas such as diagnostics, treatment planning, predictive modeling, medical research, and health informatics. Whether you are seeking to enhance patient care, drive innovation, or navigate the ethical and regulatory aspects of Artificial Intelligence in healthcare, this course provides a valuable platform for individuals from diverse backgrounds to explore and excel at the intersection of Artificial Intelligence and healthcare.

Knowledge Partner:

The Indian Institute of Science (IISc) is our knowledge partner for the Artificial Intelligence in Healthcare: Theory to Practice course. As a prestigious institution renowned for its academic excellence and ground-breaking research, IISc brings unparalleled expertise and resources to our program. Collaborating with IISc ensures that our course benefits from their vast knowledge in areas such as Artificial Intelligence, healthcare, and interdisciplinary studies. Through this partnership, we are able to provide learners with a unique opportunity to learn from distinguished faculty members, access cutting-edge facilities, and engage in innovative research at the forefront of Artificial Intelligence in healthcare. This collaboration with IISc reinforces our commitment to delivering a top-tier educational experience and advancing the field of Artificial Intelligence in healthcare.

Sample Certificate:

FAQ:

The course duration will be 12 weeks.
You will be granted full access to the learning content for 36 months, starting from the date of enrollment.
The time investment for the course includes 4-6 hours per week for asynchronous learning and 3 hours of synchronous sessions on Sunday mornings, along with post-lunch doubt clearing sessions conducted by teaching assistants.
The weekend synchronous sessions, conducted by esteemed faculty from the Indian Institute of Science (IISc), are scheduled for approximately 3 hours. Most sessions are held on Sunday mornings, with additional time allocated for doubt clearing sessions in the post lunch hours.
Yes. After successful completion of the course, you will be awarded a certificate from both Indian Institute of Science (IISc) and Aster Heath Academy.
Yes, we offer financial aid opportunities for participants.
Here's the structure of our refund policy: 1) A candidate is eligible for 75% refund if the drop out is within 7 days of launch of the program 2) A candidate is eligible for 50% refund if the drop out is within 8- 15 days of launch of the program 3) There is no refund if the drop out is after 15 days of launch
+ GST as applicable

Faculty Team

Prof. Phaneendra Yalavarthy
Professor
Department of Computational and Data Sciences, IISc, Bangalore, India
Prof. Yalavarthy is a renowned artificial intelligence expert in the area of medical imaging. He has published more than 70 international journal articles in the area of medical imaging and leads successful collaborative labs with industries like GE Healthcare. He was instrumental in establishing Aster AI Lab, which is one of the first AI labs in India in a healthcare facility. He has active engagements with the medical imaging industry stake holders including GE Healthcare, Siemens Healthineers, Samsung Healthcare, and Teleradiology Solutions, fostering impactful collaborations. His research interests include artificial intelligence in medical imaging, digital health, and biomedical signal processing.
Dr. Lokesh B
Neurologist
Aster CMI Hospital, Bangalore
Dr. Lokesh is the head of Neurosciences at Aster CMI Hospital, has trained in cerebrovascular Sonography from National University Hospital, Singapore and the University of Alabama, Birmingham, USA. He has also trained in peripheral nerve and muscle sonography from the Institute of Neurology, Italy & Netherlands. He leads the Aster AI lab and collaborates actively with Indian Institute of Science. He is passionate about application of artificial intelligence in healthcare and improving the patient care. He completed MBBS, MD in General medicine and DM Neurology from Kasturba medical college, Manipal, India.
Prof. Ambedkar Dukkipati
Professor of Artificial Intelligence
Computer Science and Automation, IISc, Bangalore, India
Prof. Dukkipati is an expert faculty member of artificial intelligence at IISc and teaches machine learning/deep learning courses regularly. He leads Statistics and Machine Learning group at IISc. He has active collaborations with GE Healthcare, Novartis, and Shell Technology Centre in the area of artificial intelligence. His research interests include machine learning, network representation learning, sequential decision-making under uncertainty, and deep reinforcement learning.
Dr. Vaanathi Sundaresan
Assistant Professor of Department of Computational and Data Sciences (CDS) , IISc, Bangalore
Dr. Vaanathi Sundaresan is an assistant professor at IISc, where she leads the Biomedical Image Analysis (BioMedIA) laboratory. Her academic journey includes postdoctoral work at Harvard Medical School, a doctorate from the University of Oxford, and an M.S. from IITM. She specializes in diverse research areas, including machine learning, medical imaging, neuroimaging, and tool development.

Curriculum:


Module 1: Foundations of AI in Healthcare*

1
Digital Data and Representation

Basics of digital data (bits, bytes, data formats)

Data representation and encoding

2
Mathematical Foundations

Basic mathematics (linear algebra, probability, optimization)

Vectors, matrices, linear transformations, probability distributions, optimization techniques

3
Healthcare Data and Systems

Data in healthcare (types, sources, challenges)

Electronic health records (EHRs), medical images, genomics data

Information systems in healthcare (informatics, data warehousing, data mining)

Module 2: AI Techniques and Applications*

1
Machine Learning and Python basics

Machine learning methods (supervised, unsupervised, deep learning)

Regression, classification, clustering, dimensionality reduction, neural networks

Essential Python libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-learn)

2
Medical Image Analysis and NLP

Medical image formation

Medical image analysis (segmentation, registration, classification)

Natural language processing (text classification, named entity recognition, question answering, word embeddings)

3
Python Programming

Introduction to Python programming (Google Colab, print statements, comments, variables, input/output, operators)

Python programming (conditional statements, loops, functions, classes, OOP)

Module 3: Practical Applications and Challenges*

1
AI in Healthcare

Need for artificial intelligence in healthcare

Potential applications and benefits

AI evaluation metrics

2
Challenges and Ethics

Challenges in healthcare data handling and curation (data quality, privacy, bias, ethics)

AI devices: Regulatory affairs (FDA approval process, ethical considerations, regulatory compliance)

3
Projects and Practical Applications

Guided projects using MONAI and classification tasks

FAQ:

The course duration will be 12 weeks.
You will be granted full access to the learning content for 36 months, starting from the date of enrollment.
The time investment for the course includes 4-6 hours per week for asynchronous learning and 3 hours of synchronous sessions on Sunday mornings, along with post-lunch doubt clearing sessions conducted by teaching assistants.
The weekend synchronous sessions, conducted by esteemed faculty from the Indian Institute of Science (IISc), are scheduled for approximately 3 hours. Most sessions are held on Sunday mornings, with additional time allocated for doubt clearing sessions in the post lunch hours.
Yes. After successful completion of the course, you will be awarded a certificate from both Indian Institute of Science (IISc) and Aster Heath Academy.
Yes, we offer financial aid opportunities for participants.
Here's the structure of our refund policy: 1) A candidate is eligible for 75% refund if the drop out is within 7 days of launch of the program 2) A candidate is eligible for 50% refund if the drop out is within 8- 15 days of launch of the program 3) There is no refund if the drop out is after 15 days of launch
5th Batch

Duration: 3 Months

Level: advanced

Price:
Buy Now

Batch Start Date

12th Jan, 2025

Next Application Review Date

28th Feb, 2025

Application Form









    Includes

    Full lifetime access
    Access on mobile and TV

    Related Courses

    Artificial Intelligence in Healthcare: Theory to Practice
    Price:
    INR 125,000*
    GST as applicable

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