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  Advancing Diagnostic Radiology through Artificial Intelligence and Machine Learning [SELF-FUNDED STUDENTS ONLY]


   Cardiff School of Computer Science & Informatics

  Dr Hantao Liu, ,  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Often, the efficacy of disease treatments relies heavily on the accurate interpretation of radiological imaging by medical professionals. However, diagnosing pathologies from medical images presents significant challenges. Even experienced radiologists are prone to misdiagnoses due to the inherent complexity of medical imaging.

It would be beneficial for image readers to utilise artificial intelligence (AI) and machine learning (ML) tools to aid in the interpretation task. These tools could help radiologists mitigate the inherent limitations of human perception and bias, potentially leading to a reduction in diagnostic errors. More broadly, this technological advancement could have far-reaching implications, improving healthcare delivery across a wide range of clinical settings.

The objectives of this project include collecting high-quality, anonymised datasets comprising image-based diagnoses in collaboration with practicing radiologists; and developing AI/ML algorithms capable of automatically generating decision-making outcomes relevant to clinical radiology. The overarching goal is to use these AI/ML algorithms to support radiologists to improve diagnostic accuracy and efficiency, ultimately enhancing patient outcomes. Furthermore, these tools have the potential to extend diagnostic support to underserved regions where access to radiologists may be limited.

The project will be conducted within the internationally recognised Visual Computing Research Group at Cardiff University, with support from the Department of Clinical Radiology at the University Hospital of Wales and Great Ormond Street Hospital for Children, NHS Foundation Trust.

Contact for information on the project: Professor Hantao Liu ()

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

This project is accepting applications all year round, for self-funded candidates

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

Please submit your application via Computer Science and Informatics - Study - Cardiff University

In order to be considered candidates must submit the following information:

·       Supporting statement

·       CV

·       In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD

·       In the funding field of your application, please provide details of your funding source.

·       Qualification certificates and Transcripts

·       References x 2

·       Proof of English language (if applicable)

Interview - If the application meets the entrance requirements, you will be invited to an interview. 

If you have any additional questions or need more information, please contact:

Computer Science (8)

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
Please note that a PhD Scholarship may also available for this PhD project. If you are interested in applying for a PhD Scholarship, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

References

https://orca.cardiff.ac.uk/id/eprint/158274/

Register your interest for this project



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