Artificial Intelligence in Medicine

OVERVIEW

 

This course invites you to delve into the revolutionary synergy of advanced technologies and healthcare, offering a virtual journey into the transformative realm of medical Artificial Intelligence (AI). Whether you are a healthcare professional, researcher, or tech enthusiast, this training is your digital gateway to understand, navigate, and contribute to the dynamic landscape where AI meets medicine. In an era where technology is reshaping the landscape of healthcare, this online training equips you with the knowledge and skills to apply AI in medical research. This training will provide you with the essential skills and knowledge to become a successful AI in medicine researcher. It will equip you with the knowledge and understanding of performing literature reviews in AI in medicine. To stay competitive in the field of AI in medicine research, universities and organizations need experienced AI experts with research skills and an understanding of cutting-edge methods. Bridge the gap between theory and application with a focus on translational research.

 

This 4-week training is designed to equip you with the knowledge you need to apply AI in medicine research. It will train you to perform research in an international research environment. Through the 4-week virtual training, you’ll gain the knowledge and skills required to participate in AI in medicine research. It aims to provide essential knowledge for developing your early research career in the AI in medicine field. Customize your learning experience to fit your schedule with the flexibility of online training. Access materials, and research tasks at your own pace, accommodating work, personal commitments, and different time zones.

TRAINING CONTENT

 

The online distance-learning delivery of the training will provide opportunities to receive expertise from the Cambridge Centre for Innovation and Development (CamCID) researchers and material from our partners.

 

• Week 1: Literature review: During the first week of your virtual training, you will gain experience in literature reviewing and finding articles using research databases and search engines. Explore the techniques of effective introduction, discussion, and conclusion that elevate a research paper to captivating narratives. Gain a comprehensive understanding of the scholarly landscape in your field, learning how to identify key contributors, seminal works, and evolving trends. Develop the skills to critically evaluate research studies, synthesize findings, and identify gaps in current knowledge. Develop strategies for comparing and contrasting diverse perspectives and creating a research topic. Uncover the secrets of well-structured research papers, from the formulation of research topics to the summarizing of key information.

 

• Week 2: Developing a research proposal: Immerse yourself in the foundational principles of research proposal development, gaining insights into the key components that define a successful research project. Explore the template and methodologies used across disciplines, tailoring your understanding to the unique demands of your field. You will gain knowledge in writing your research proposal. You will develop your research idea in week 2 and learn to develop a research plan for your idea. Master the art of crafting clear, focused, and impactful research questions that lay the groundwork for your entire proposal. Engage in tasks that guide you through the process of refining and structuring research inquiries that drive meaningful investigations. Explore the significance of reviewing literature and a well-defined conceptual framework in providing the theoretical underpinnings of your research. Learn to present your research idea coherently and compellingly.

 

• Week 3: Data analysis: In week 3, you will learn to perform data analysis and statistical analysis in research. You will be given different research tasks to perform data analysis. Engage in practice tasks that reinforce your understanding of statistical fundamentals, ensuring a solid grasp of the analytical toolkit. Navigate the landscape of statistical techniques, learning how to choose the most appropriate methods based on your research questions and data characteristics. Gain practical experience with statistical tools and/or software, translating theoretical knowledge into actionable skills.

 

• Week 4: Research project: You will work on a short literature review project and apply your knowledge of your area in your research task. The research project aims to improve your academic writing, research, critical thinking, and literature search skills. The project offers a roadmap to construct literature reviews that resonate with depth, coherence, and scholarly impact. Navigate through databases, academic journals, and other resources to compile a rich array of literature relevant to your research. Develop the skills to critically evaluate research studies, synthesize findings, and identify gaps in current knowledge. 

Entry Requirements

 

• This training starts with a beginner level and progresses towards the mid and advanced levels. However, prior research experience is not required.
• This training is designed for all levels of students (Undergraduate students, Master's degree students, or Ph.D.).
• Our online training is taught in English. Therefore, you must have good English language skills.

Certificate of Completion

 

After completing all the parts of this Research Training (Virtual Internship), you will be provided with an e-certificate of completion at Cambridge Centre for Innovation and Development (CamCID).

Career Opportunities

 

This virtual training is designed to aid professional development in the field of AI in Medicine research, enabling you to further your expertise within an existing career path or to change career direction, for example, into an AI researcher. Here are several career paths that individuals with expertise in this field may pursue:

 

• AI Scientist/Researcher
• AI Expert
• Biomedical Researcher
• AI professional
• Research Assistant

 

Joining a virtual internship in AI in Medicine research provides a strong foundation for a research career that aims to advance your understanding of AI and improve treatment outcomes. Whether in academia, industry, or healthcare, individuals with AI expertise play a crucial role in the ongoing fight against several diseases.

Design AND Delivery

 

This online training is delivered on our virtual learning platform (Moodle). The training is self-paced and it can be completed on your schedule within the training's duration. The training includes recorded guides, templates, learning material, ebooks, and research-based tasks. It is designed by the CamCID Research Team and Guest Lecturers (faculty members from international universities).

Fees and Funding

 

UK and International: £275 (including electronic certificate).