Chapter 12: AI Tools for Healthcare
Abstract: AI tools in healthcare use machine learning, NLP, and computer vision for diagnostics (image analysis for cancer/TB), drug discovery (protein folding, trial optimization), personalized treatment, robotic surgery, and automating admin tasks (charting, scheduling) . They improve efficiency, accuracy, and speed, enabling earlier detection, better resource allocation, and freeing up clinicians for patient care. Key Areas & Examples: Diagnostics & Imaging: Computer Vision: Analyzing X-rays, MRIs, CT scans for subtle signs of diseases like cancer, TB, pneumonia, and retinal issues faster and more accurately than humans. Predictive Analytics: Using patient data to predict disease risk, hospital readmissions, and patient flow. Drug Discovery & Development: Designing proteins, predicting drug efficacy, optimizing clinical trial designs, and speeding up the overall process. Clinical Decision Support: Chatbo...