Artificial Intelligence in Medicine and Project: Early Warning of Alzheimer's Disease

Abstract

In the last decade, artificial intelligence and machine learning have made a significant impact on the healthcare industry, particularly in the areas of clinical decision support and image analysis. We provide an overview of publications and applications of artificial intelligence in medicine, highlighting key use cases. Artificial intelligence can extract insights from vast, seemingly unrelated data, including medical records. IBM Watson Oncology has played a key role in lung cancer treatment decisions. Artificial intelligence tools are improving diagnosis and treatment predictions, thereby improving healthcare delivery. Clinical decision support tools provide quick access to relevant patient information, while in the field of medical imaging, they help detect findings that radiologists might miss. Artificial intelligence has become an integral part of modern healthcare, used in both clinical settings and medical research. This article explores current trends in the applications of artificial intelligence for early prediction of cardiovascular and neurodegenerative diseases. We present our results that improve disease prediction in neurodegenerative diseases. The integration of artificial intelligence into medicine is becoming increasingly efficient and accurate, but raises ethical concerns such as ensuring patient privacy
and maintaining human oversight.