Doctorate
Doctorate Title: Deep Learning Using Convolutional Neural Networks in the Pre-Hospital Medicine.
Doctorate Description: The overall theme of the project will focus mainly in:
- Building convolutional neural network models that predicts different cardiovascular diseases;
- Feasibility of remote monitoring;
- Validation in pre-hospital settings (point-of-care screening).
Details:
Type: PhD
University: Imperial College London
Primary Supervisor: Professor Nicholas S Peters
Category: Cardiology & Respiratory
Funding:
Start Date: 2021
End Date: 2025
Status: Ongoing
Thesis
Awaiting
Research Interests
Artificial Intelligent, CNN, Telemedicine, pre-hospital, CVD
Publications
Alrumayh A, Alobaida M. Catheter ablation superiority over the pharmacological treatments in atrial fibrillation: a dedicated review. Annals of Medicine. 2021 Jan 1;53(1):551-7.
Alobaida M, Alrumayh A. Rate control strategies for atrial fibrillation. Annals of Medicine. 2021 Jan 1;53(1):682-92.
Oguntade AS, Al-Amodi F, Alrumayh A, Alobaida M, Bwalya M. Anti-angiogenesis in cancer therapeutics: The magic bullet. Journal of the Egyptian National Cancer Institute. 2021 Dec;33(1):1-1.
Alobaida M, Alrumayh A, Oguntade AS, Al-Amodi F, Bwalya M. Cardiovascular Safety and Superiority of Anti-Obesity Medications. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2021;14:3199.
