Various Big Data sources - EHRs, omics data, medical images, signals, videos - provide reams of precise information in support of healthcare. Genetic and healthcare data machine learning developer Sara Moein presents an overview of the future of healthcare Big Data has opened up.

Cell type morphology in histological images is an indicator that detects diseases like cancer. Pathologists can apply the cell shape to spot abnormalities. Dr Sara Moein explains how automatic detection of cell types helps pathologists work quicker and more efficiently.

Deep learning technologies are revolutionizing the diagnosis and prognosis of complicated diseases and cancer. Intelligent medical diagnosis expert Dr Sara Moein predicts the role of AI in 2023 in medical diagnosis and healthcare.

Medical machine learning researcher Sara Moein explains how AI methods take advantage of physics equations and phenomena from nature, and offers examples of how these methods apply in healthcare.

AI methods are being applied in various areas, including the detection of the best medications for curing diseases. In this article, Dr Sara Moein explains how intelligent methods help doctors administer the best medications to achieve the best outcomes after Systemic-Pulmonary Arterial shunt surgery in newborns.

Machine learning, artificial intelligence and other smart methods are poised to turbocharge the work of pathologists. Follow medical machine learning researchers Sara Moein as she conducts a tour of these technologies and hints at what the future holds in store.

Detecting heart disorders from electrocardiogram (ECG) signals is no easy task as noise often corrupts ECG signals. Dr Sara Moein presents different approaches for AI to serve cardiologists for more accurate, quicker heart disorder diagnoses.

Dr Sara Moein explains how AI predicts the outcomes of heart surgery in children and presents details about using the pediatric health information system database to design an intelligent model to identify patients at higher risk of complications from surgery to avert adverse outcomes.

Dr Sara Moein discusses the role of artificial intelligence in detecting mental health disease and explains various data structures that AI applies to identify the hidden patterns for mental health diagnosis and treatment.