Abstract: Only a small percentage of our population (e.g., the rich and power) can afford dedicated personal human doctors hence live healthier and longer. Healthcare inequality is a fundamental challenge to our society. Social and policy solutions such as ObamaCare are difficult to implement. Our invention intends to provide a technology solution by getting everyone a data-driven artificial intelligence (AI) personal doctor (AIPD), i.e. the first trainable Robot Doctor. We invent new methods and systems to create and train the artificial brains (AB) of the first trainable robot doctor named AIPD on NLP and deep learning technologies. The AB of AIPD can be pre-trained with validated health literature from authorities and can be continuously trained with NLP and deep learning algorithms by the growing literature and user contacts. The first robot doctor's response by its AB can be validated by a human doctor or can be cross-validated from another AIPD robot doctor with a different trainable artificial brain.