Can texture features computed from the joint intensity distribution of different MRI sequences accurately predict prostate cancer grade?

Artificial intelligence and cardiovascular computed tomography

Using a radiomics-derived classifier to distinguish between lung adenocarcinomas and granulomas—where are we now?

Utilization of electronic healthcare records for advancement of medical knowledge

Do computer extracted shape and texture features enable discrimination of granulomas from adenocarcinoma on chest computed tomography?

Machine learning and serious games: opportunities and requirements for detection of mild cognitive impairment

Prof. Fionn Murtagh: clinical and all medical practice, and the health context, the major benefits and some challenges of Big Data science

Making deep learning models transparent

Dr. Anthony C. Chang: artificial intelligence (AI) depicts future medical blueprints

AME and Tencent collaborate to further develop medical artificial intelligence through scientific research

Building chain of medical AI innovations, Tencent establishes national new-generation medical imaging AI platform

Foreword