DrJames Howard
Clinical Associate Professor in Cardiology (Cardiac MR & AI)
National Heart & Lung Institute - Faculty of Medicine
Orcid identifier0000-0002-9989-6331 (opens in a new tab)
- Clinical Associate Professor in Cardiology (Cardiac MR & AI)National Heart & Lung Institute - Faculty of Medicine
- Block B Hammersmith Hospital, Hammersmith Campus, United Kingdom
BIO
Dr James Howard is a Senior Lecturer, BHF Intermediate Fellow and Honorary Consultant Cardiologist at Imperial College.
James' research focuses on using novel computational approaches to solve important problems in heart disease. His main research interest is the application of artificial intelligence (AI) to deliver individualised and efficient cardiac MRI scanning. However, he has experience in running clinical trials and applying AI in a variety of fields, including ultrasound scans, ECGs and X-rays.
His clinical and academic training has been supported by several prestigious fellowships, including an NIHR Academic Clinical Fellowship, a Wellcome Trust Clinical Research Training Fellowship, an NIHR Clinical Lectureship, and most recently a BHF Intermediate Clinical Research Fellowship. He has secured over £1 million of research funding.
He was recently awarded his PhD, “Deep Learning Using Convolutional Neural Networks in Clinical Cardiology”. He has published extensively in the field of cardiovascular medicine, particularly artificial intelligence (AI) and he was recently awarded a $40,000 prize by Facebook, Microsoft and Amazon for his work on detecting 'fake news' using AI.
James read Clinical Medicine at Trinity College, the University of Cambridge, where he also undertook his BA in Natural Sciences. Alongside his medical training he has undertaken postgraduate qualifications in Clinical Trials from the London School of Hygiene and Tropical Medicine.
James' research focuses on using novel computational approaches to solve important problems in heart disease. His main research interest is the application of artificial intelligence (AI) to deliver individualised and efficient cardiac MRI scanning. However, he has experience in running clinical trials and applying AI in a variety of fields, including ultrasound scans, ECGs and X-rays.
His clinical and academic training has been supported by several prestigious fellowships, including an NIHR Academic Clinical Fellowship, a Wellcome Trust Clinical Research Training Fellowship, an NIHR Clinical Lectureship, and most recently a BHF Intermediate Clinical Research Fellowship. He has secured over £1 million of research funding.
He was recently awarded his PhD, “Deep Learning Using Convolutional Neural Networks in Clinical Cardiology”. He has published extensively in the field of cardiovascular medicine, particularly artificial intelligence (AI) and he was recently awarded a $40,000 prize by Facebook, Microsoft and Amazon for his work on detecting 'fake news' using AI.
James read Clinical Medicine at Trinity College, the University of Cambridge, where he also undertook his BA in Natural Sciences. Alongside his medical training he has undertaken postgraduate qualifications in Clinical Trials from the London School of Hygiene and Tropical Medicine.
DEGREES
- PhD in Convolutional Neural NetworksImperial College London, London, United Kingdom
- MB BChir (Clinical Medicine)University of Cambridge, Cambridge, United Kingdom
- MA (Natural Sciences)University of Cambridge, Cambridge, United Kingdom
- PGDiploma in Clinical Trials and StatisticsLondon School of Hygiene & Tropical Medicine, London, United Kingdom
FACULTY
- Faculty of Medicine
POSITION NAME
- Clinical Associate Professor in Cardiology (Cardia