Current Medical AI projects
Colorectal Cancer
Aim: To improve diagnostic accuracy and acceptability of colorectal cancer screening by developing and using a new generation of wireless capsule endoscopy featuring onboard intelligence (AI)
Collaborators: Department of Surgery at Svendborg hospital, Department of Medical Gastroenterology and Biomedical Lab at Odense University Hospital (OUH), and Department of Gastroenterology at Vejle-Lillebaelt hospital
Contact persons: Esmaeil Nadimi, esi@mmmi.sdu.dk; Vinay Chakravarthi Gogineni, vigo@mmmi.sdu.dk; Jan-Matthias Braun, j-mb@mmmi.sdu.dk
Prostate Cancer
Aim: To identify indicators in the past medical history of prostate cancer patients, that can better predict prognosis and can illuminate the reason for the emergence of metastases and subsequent death.
Collaborators: Department of Clinical Biochemistry and Pharmacology (OUH), Department of Urology (OUH)
Contact person: Nataliya Chukhrova, nach@mmmi.sdu.dk; Esmaeil Nadimi, esi@mmmi.sdu.dk
Cervical Cancer
Aim: The aim of the project is to develop an artificial intelligence algorithm to aid colposcopists in choosing the correct area of the cervix to biopsy in women referred for colposcopy due to a positive screening test for cervical dysplasia.
Collaborators: Department of Obstetrics and Gynaecology (OUH)
Contact person: Smith K. Khare, smkh@mmmi.sdu.dk
Epilepsy
Aim: To develop a feasible and non-invasive long-term solution for home-monitoring of patients with generalized epilepsy paroxystic discharges, and to predict their response to different pharmaceutical treatments.
Collaborators: Department of Neurology (OUH), Danish Epilepsy Society
Contact person: Jan-Matthias Braun, j-mb@mmmi.sdu.dk
Cardiac Calcification
Aim: To analyze the impact of coronary artery calcification score and 15 prognostic biomarkers on cardiovascular events in a 10-years follow-up analysis in a cardiovascular healthy population, to improve prediction of cardiovascular events in these asymptomatic subjects.
Collaborators: Department of Cardiology (OUH)
Contact Person: Victoria Blanes-Vidal, vbv@mmmi.sdu.dk
Ingestible Medical Robots - Colorectal Cancer
Aim: To design a new generation of wireless capsule endoscopy featuring onboard intelligence (AI) to shift the screening of premalignant and malignant upper and lower gastrointestinal tract disorders towards a non-invasive solution.
Hardware design using 1) AI-powered processing units based on system-on-chips (SOC) designed for integrating machine vision and convolutional neural network computation acceleration and 2) wireless transceivers with over-the-air-programming functionalities.
Collaborators: Department of Surgery at Svendborg hospital, Department of Medical Gastroenterology and Biomedical Lab at Odense University Hospital (OUH), and Department of Gastroenterology at Vejle-Lillebaelt hospital.
Contact persons: Esmaeil Nadimi, esi@mmmi.sdu.dk
Current and upcoming research topics
We are currently exploring the following research topics for future projects within Medical AI. You are welcome to contact us if you are interested in a collaboration or more information
Precision medicine
Contact person: Victoria Blanes-Vidal, vbv@mmmi.sdu.dk
Federated Learning
Contact Person: Vinay Chakravarthi Gogineni, vigo@mmmi.sdu.dk
Neuro-degenerative diseases
Contact Person: Smith K. Khare, smkh@mmmi.sdu.dk
Responsible AI
Contact Person: Vinay Chakravarthi Gogineni, vigo@mmmi.sdu.dk