AI and Data Analysis Advance Precision Medicine for Personalized Healthcare
Stratified medicine, also known as precision medicine, is evolving rapidly through the integration of artificial intelligence (AI) and advanced data analysis. This approach tailors medical treatments to individual patient characteristics, considering genetic, environmental, and lifestyle factors. AI-assisted technologies are demonstrating significant potential in various medical applications, including disease detection, risk prediction, patient stratification, prognosis assessment, and treatment planning. The analysis of multimodal health data, which encompasses medical images, electronic health records, pathological data, physiological signals, and genomic profiles, is crucial for developing effective clinical decision support systems. Despite these advancements, challenges remain in translating AI models from experimental settings into routine clinical practice. Issues such as the 'black box' nature of many AI systems, sensitivity to differences in patient populations, biased training data, and privacy ...