The Impact of Artificial Intelligence in Diagnosing Diseases
Keywords:
Artificial Intelligence, Disease Diagnosis, Machine Learning, Medical Imaging, Healthcare Technology, Diagnostic Accuracy, Predictive Analytics, Natural Language Processing, Health Informatics, Ethical ChallengesAbstract
The integration of Artificial Intelligence (AI) in healthcare, particularly in disease diagnosis, is revolutionizing medical practice by offering more accurate, faster, and efficient diagnostic tools. This article explores the transformative impact of AI on disease diagnosis, focusing on the advancements in machine learning (ML) algorithms, natural language processing (NLP), and image recognition technologies. Through the examination of case studies, including cancer, cardiovascular, and neurological diseases, the article evaluates the potential of AI in improving diagnostic precision, reducing human error, and streamlining workflows. Furthermore, it discusses ethical concerns, challenges in implementation, and the future prospects of AI-driven healthcare systems.
