Application of Artificial Intelligence in Risk Prediction and Personalized Treatment in Medicine

“Artificial Intelligence (AI)” is transforming “healthcare” by improving “risk prediction” and enabling “personalized treatments”. This study examines “AI's role in precision medicine”, emphasizing its ability to integrate “genomic”, “clinical”, and lifestyle data for customized care. Analyzing ۱۲۱ studies, we found AI excels in “cardiovascular risk prediction” (۸۹–۹۷% accuracy), “oncology” (۴۰% better “chemotherapy” outcomes with CURATE.AI), and “mental health” (۸۰% accuracy in suicide risk detection). AI also identifies new biomarkers, optimizes therapies, and reduces diagnostic errors. However, challenges remain, including dataset bias (۶۸% minority underrepresentation), lack of algorithmic transparency, and ethical dilemmas. To maximize AI's potential, interdisciplinary collaboration, rigorous validation, and equitable implementation are crucial. Future steps involve establishing standardized regulations and hybrid human-AI decision systems to ensure ethical, clinically effective applications.

کلیدواژه ها:

Artificial Intelligence ، Risk Prediction ، Personalized Treatment ، Precision Medicine ، Genomic Data ، Clinical Data ، Lifestyle Data ، Cardiovascular Risk Prediction ، Oncology ، Mental Health ، Dataset Bias ، Algorithmic Transparency ، Ethical Dilemmas ، Interdisciplinary Collaboration ، Healthcare Transformation