Course Detail

COURSE DESCRIPTION

Explore the transformative realm of AI in healthcare through our comprehensive course, ‘AI in Healthcare: Fundamentals and Applications.’ Created in collaboration with industry experts, this program is tailored to equip healthcare leaders and entrepreneurs with a practical grasp of AI’s potential in the healthcare sector. You’ll delve into various AI technologies like Machine Learning, Deep Learning, and Natural Language Processing, examining their applications, limitations, and industry prospects. From grasping the stages of AI product design to navigating the cutting-edge of AI in healthcare, each module is designed to deepen your understanding and skills in this rapidly advancing field. Enroll now to cultivate the future-ready expertise essential for navigating and innovating in healthcare.

What will you learn:

• Understand the stages of designing an AI product for healthcare and medical applications.
• Learn about different machine learning algorithms and their applications in healthcare.
• Gain insights into deep learning algorithms and their use in healthcare solutions.
• Explore the Peloton Framework and its applications in healthcare robotics.
• Discover developments in biomechatronics and their integration with AI.
• Understand how to manage data and overcome challenges in developing AI products.
• Design an AI product or service to address healthcare challenges.

Module 1: The Stages of Designing an AI Product

The introductory module focuses on the basic structure of AI product design. You will learn the four stages of designing an AI product and identify desired AI behavior, business and technical requirements, value, and a software development plan. 

This module will also teach you how to: 

• Identify the design stages and their purposes 
• Find the right AI technology to improve a business purposes 
• Appraise the technical as well as business requirements for a product 
• Identify the long-term advantages and limitations of a product 
• Analyze the three types of AI cancers and how they affect an AI process or product

Module 2: The Fundamentals and Applications of Machine Learning

The second module is a deep dive into a key AI technology: machine learning. In addition to introducing you to various algorithms, classifiers, decision trees, and more, it will also demonstrate how to: 

• Differentiate between various machine learning algorithms and their uses 
• Maximize the advantages of training, validation, and testing sets 
• Run and analyze the results from Bayesian machine learning algorithms 
• Learn to compare machine learning algorithms and identify the ones suitable for application

Module 3: The Fundamentals and Applications of Deep Learning

The third module covers deep learning, including the length and breadth of neural networks and applications such as drug discovery and cancer cure research. In addition, this module reveals how to: 

• Explore the applications that use deep learning algorithms 
• Run implementations on convolutional, deep, and recurrent neural network algorithms 
• Use neural network simulations to draw conclusions 
• Run an implementation of a single- and a multilayer perceptron in Python 
• Explore the structure and components of an artificial neuron

Module 4: Designing Artificial Machines to Solve Healthcare Problems

From this module onward, you will add implementation to theory. In Module 4, you will acquire a 360-degree approach to design that covers everything from setting superhuman targets to software methodologies, tool development, research, ethical responsibilities, and possible challenges to these machines. 

In addition, you will learn how to: 

• Assess the accuracy of an AI model 
• Understand the approval processes of the Committee on the Use of Humans as Experimental Subjects (COUHES) and various institutional review boards (IRBs) for AI models 
• Formulate crowdsourcing data strategies 
• Review the superhuman intelligence used in an AI product or service 
• Explore the advantages and disadvantages of using an AI technology 

Module 5:The Peloton Framework

In this course, you will deeply engage with the Peloton framework, essential for advancing ingestible robotics. You’ll explore:

• Comprehensive framework insights
• Diverse applications, benefits, and drawbacks of ingestible robots
• Creating an ingestible robot concept for healthcare challenges
• Advanced crowdsourcing data strategies surpassing AI limitations.

Module 6: Developments in Biomechatronics with AI

This module explores advanced prosthetics, proprioception, and exoskeletons. It provides a comprehensive understanding of their history, research, developments, and current limitations. Additionally, you will learn to:

• Identify the mechanisms involved in developing prosthetics for the human body and the communication gaps that occur.
• Study the developments in proprioception research and its historical evolution.
• Understand the role of communication in developing prosthetics.
• Learn about the advantages of using exoskeletons.

Module 7: Frontiers for AI in Healthcare

This module explores current challenges and opportunities in healthcare technology. It covers business uses, maintenance issues, sources of inspiration, and the potential of electromagnetic waves and RFID chips. You will also learn to:

• Understand data management needs and the importance of flexibility in AI product creation
• Identify and address challenges related to model drift
• Explore the benefits of collaborative work
• Develop ideas for AI products or services to address healthcare challenges

Module 8: Unleash Generative AI (GEN AI) for Your Medical Practice

In this module, you will dive into ChatGPT, exploring its interface and practical applications in healthcare. You’ll learn to write effective prompts for tasks like summarizing patient charts and creating education materials. Additionally, you’ll discover how to format medical reports efficiently, such as discharge summaries.
The module will also cover creating AI assistants for generating differential diagnoses, summarizing research findings, and identifying potential drug interactions. Lastly, you’ll leverage ChatGPT’s multilingual capabilities to bridge language barriers, enabling smoother communication and global healthcare access.

Irfan Malik

Founder & CEO Xeven Solutions

I’m Irfan Malik, CEO and health-tech leader of Xeven Solutions. Despite lacking formal education and wealth, my entrepreneurial spirit led me to establish a tech company that grew from 4 to 150 employees and expanded to two global offices in five years. 

I value honesty, discipline, and holistic well-being, ensuring these principles are reflected in my team and professional relationships.

Dr Azhar Aslam

Plastic Surgeon, Harley Helath Village, London

Dr. Azhar Aslam is the President of the British Association of Cosmetic Surgeons (BACS). With ten years of surgical training, including five and a half years in plastic surgery within the NHS, he received a Royal College of Surgeons and Physicians scholarship, leading to a 1996 Fellowship in Louisiana, USA. 

Dr. Aslam furthered his cosmetic surgery skills in the USA, Mexico, and Germany, earning a Fellowship of the American College of Surgeons in 1999.

Prof. Dr Javed Iqbal

General Surgeon & Healthcare Consultant

Dr. Javed Iqbal, a surgeon from Nishtar Medical College, graduated in 1985 and achieved FRCS and FACS among other qualifications. Currently, he is the Principal and Head of Surgery at Quaid-e-Azam Medical College, Bahawalpur. 

Beyond his surgical expertise, he inspires through motivational speeches and Urdu literature on his YouTube channel, “Professor Dr. Javed Iqbal,” promoting personal growth and positive change.

Dr. Sheraz Naseer

Head of AI Department Xeven Solutions

With over a decade of experience in AI, Information Security, and Data Science, I lead the AI department at Xeven Solutions, spearheading innovative projects like AI-driven chatbots and medical diagnosis systems. 

My extensive technical expertise includes Python, React, and Azure, and I hold a PhD in computer science from UET Lahore. I also have a background in IT security from my tenure at MCB Bank Limited.

Yasir Bucha

Founder & CEO Buch International Hospital

Leading the development of projects focused on community benefits in Real Estate, Healthcare, and Technology sectors. Aiming to enhance everyday convenience by strategically integrating advanced technology and innovative methods.

Dr. Tazeen H. Rizvi

Healthcare Director Xeven Solutions

Dr. Tazeen Rizvi, a seasoned healthcare technology leader with 15 years in strategy, HIS implementation, and market growth, has spearheaded digital transformations across Europe, the Middle East, Southeast Asia, and Africa. 

Her expertise spans multi-disciplinary team management, clinical project management, and strategic client development. With a clinical background, she excels in integrating new technologies to enhance healthcare systems, driving growth, and steering successful projects.

Learning Outcomes:

• Acquire a comprehensive understanding of AI technologies and their applications in healthcare.
• Develop the skills to design and implement AI solutions for healthcare challenges.
• Learn to assess and apply AI technologies to improve patient care, safety, and quality.
• Gain insights into the ethical considerations of AI in healthcare.
• Understand the potential of AI to transform healthcare practices and processes.
• Explore real-world examples and case studies of AI applications in healthcare.
• Develop the ability to innovate and lead AI-driven initiatives in healthcare