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We have 78 Artificial Intelligence (medical) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (medical) PhD Projects, Programmes & Scholarships

We have 78 Artificial Intelligence (medical) PhD Projects, Programmes & Scholarships

Doctor of Engineering (EngD) - Image capture and multimodal AI for interactive radiology assistance (Canon Medical and University of Edinburgh)

  Research Group: CDT in Applied Photonics
The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry. Students spend about 75% of their time working directly with a company in addition to receiving advanced-level training from a broad portfolio of technical and business courses. Read more
Last chance to apply

AI-enhanced dementia prevention: precision risk reduction using large language models, NIHR Funded PhD in Medical Studies Ref: 5100

Location. Department of Health and Community Sciences, St Luke’s Campus, Exeter. The University of Exeter’s Department of Health and Community Sciences is inviting applications for a PhD studentship funded by the NIHR to commence on the 23rd September 2024. Read more

Enhancing long-term evaluation and monitoring of responsible AI deployments in medical context

The University of Aberdeen is an internationally recognised centre for excellence for research addressing the global challenges of energy transition, environment and biodiversity, social inclusion and cultural diversity, health, nutrition and wellbeing, and data and artificial intelligence. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

Computational methods for medical image analysis: Foundation models, Generative models and Multimodal Learning

The field of medical imaging and precision medicine has seen remarkable advancements in recent years, driven by the potential of artificial intelligence (AI) technologies, such as generative models, foundation models, multi-modal learning algorithms, and large language models. Read more

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. Read more

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