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Track 41: Artificial Intelligence in Clinical Research

Track 41: Artificial Intelligence in Clinical Research

Overview: Artificial Intelligence in Clinical Research

Artificial Intelligence (AI) is revolutionizing clinical research by enhancing the efficiency, accuracy, and speed of data analysis, patient recruitment, diagnostic modeling, and decision-making processes. Through technologies like machine learning (ML), natural language processing (NLP), and deep learning, AI can process vast and complex datasets far beyond human capability.

Key Sub-Topics in Artificial Intelligence in Clinical Research:

Machine Learning for Predictive Modeling · AI in Patient Recruitment and Stratification · Natural Language Processing for Data Mining · AI-Powered Diagnostic Algorithms · AI in Drug Discovery and Repurposing · Image Analysis in Radiology and Pathology · Chatbots for Patient Engagement · Risk Prediction Models · AI for Monitoring Adverse Events · AI in Real-World Evidence Generation · Regulatory and Ethical Considerations in AI Use · Deep Learning in Genomic Analysis · Virtual Assistants in Clinical Trials · AI in Decentralized Trials · Integration of AI with EHR Systems