Research Progress and Application of Artificial Intelligence in Medical Assisted Diagnosis and Disease Prediction
Year: 2025
Type: article
Abstract: With the rapid development of artificial intelligence(AI) and breakthroughs in computer deep learning and machine learning technologies, AI is gradually replacing traditional disease diagnosis. At the same time, medical institutions have also accumulated a large amount of case information, medical data, etc., providing powerful and rich databases for AI disease prediction and diagnosis, thus achieving more accurate prediction and diagnosis of AI. AI has been widely applied in the medical field and continues to make new progress in areas such as medical image analysis, biological signal analysis, and case analysis. This article reviews the research progress and related technologies of AI in medical assisted diagnosis and disease prediction in recent years, aiming to promote research in the field of artificial intelligence medicine. AI has made significant achievements in the fields of medical assisted diagnosis and disease prediction. Medical image and biological signal analysis have greatly improved the accuracy of disease diagnosis, but still face many challenges.
Author: Siting Chen
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409618968