AI in Oncology: Medical Imaging and Radiomics Genomics and Transcriptomics Analysis Predictive Modeling for Treatment Outcomes Drug Discovery and Development Natural Language Processing for Clinical Documentation Personalized Oncology Care (Precision Medicine) AI in Cancer Screening and Early Detection Prognostic Biomarker Identification AI-Driven Clinical Decision Support Systems Optimization of Radiation Therapy Plans Big Data in Oncology: Integration of Multimodal Cancer Data (e.g., imaging, genomics, EHRs) Real-World Evidence from Electronic Health Records (EHRs) Population-Level Cancer Surveillance and Epidemiology Data-Driven Clinical Trials and Recruitment High-Throughput Sequencing Data Management Cloud Computing for Oncology Data Storage Data Privacy and Ethical Considerations in Cancer Research Visualization and Insights from Large-Scale Cancer Data Interoperability Standards for Oncology Data Machine Learning Models for Big Data Analytics
