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MSc Projects

We are continuously looking for interesting new projects. Following the weekly AI for Health meeting there is a consultation hour in which new project proposals can be discussed. To propose a new project, please fill out this form. We ask you to send the completed form to aiforhealth@radboudumc.nl and to make an appointment to discuss the project during one of the consultation hours (every Thursday afternoon 16:00 - 17:00 PM).

MSc students are eligible to receive a monthly reimbursement of €500,- for a period of six months. For more information, please read the requirements. An overview of current project vacancies can be seen below.

Project Vacancies

Running Projects

Objective home-based bradykinesia assessment in Parkinson’s disease

Development of a model for the automatic identification of Parkinson's disease based on a keyboard test.

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A machine learning model to identify neurogenic and infectious fever in ICU patients with acute brain injury

Development of a model that can identify whether a febrile ICU patient with acute brain injury has a neurogenic fever or an infectious fever.

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Screening for neuromuscular disorders using automatic classification of muscle ultrasound images

Development of a deep learning algorithm for the automatic classification of muscle ultrasound images.

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AI-assisted PD-L1 scoring in lung cancer

Project aimed at development of deep learning algorithms for the (semi-) automated scoring of PD-L1 positive tumor cells, an established biomarker for immunotherapy treatment response in lung cancer patients.

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Automated prenatal ultrasound screening

Project aimed at development of deep learning algorithms for automated detection of twin pregnancies and placenta localization.

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Automated clinical scoring in psoriasis based on RGB images

Development of automatic classification algorithm for psoriasis in photographs of the body.

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Simulated Prosthetic Hearing in deaf subjects

Development of a neural network based model that improves speech perception in cochlear implant recipients, by optimizing the vocoder strategy in order to restore binaural hearing in deaf subjects.

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Completed Projects

AI steered interventional MRI

Develop Artificial Intelligence (AI) to track tumor targets in interventional MRI.

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Quantitative facial phenotyping of patients with intellectual disability

Development of a deep learning algorithm for learning face representations.

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Predicting Clinical Deterioration Events

Predicting clinical deterioration events in hospitalized patients by using novel machine learning techniques.

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Muscle and fat segmentation in CT images for body composition assessment

We develop algorithms for segmentation of muscles and fat tissue in 3D CT images.

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Modelling long-term progression of Parkinson’s disease

Development of a model to support treatment decisions regarding cardiovascular risk management in patients with Parkinson’s disease (PD).

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Pneumothorax detection

Development of a system to detect pneumothorax in frontal chest radiographs.

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Predicting changes in quality of life of ICU survivors

Development of a model for prediction of quality of life.

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Text mining pathology reports

Development of a text mining system to accurately make a diagnosis from nephrology pathology reports.

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