The potential contribution of artificial intelligence to dose reduction in diagnostic imaging of lung cancer

Big data in health and disease: re-processing information for discovery and validation

The future of anatomic pathology: deus ex machina?

Development of novel approaches to detect ovarian cancer recurrence

Deep learning analysis of the myocardium in coronary computerized tomography angiography for identification significant coronary artery stenosis

Promises and limitations of deep learning for medical image segmentation

Psychogenic non-epileptic seizures, recent advances and commentary on, Vasta et al., the application of artificial intelligence to understand the biological bases of the disorder

Computer-aided diagnosis to differentiate colorectal polyps: are we nearing primetime?

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