The foundation of AI in clinical care lies in several core technologies. Machine Learning (ML) is paramount, enabling systems to learn from vast datasets of patient records, medical images, and research findings to identify correlations and make predictions. Natural Language Processing (NLP) allows AI to understand and process unstructured text data from clinical notes, research papers, and patient narratives, extracting valuable insights. Computer Vision is critical for analyzing medical images such as X-rays, MRIs, CT scans, and pathology slides, helping to detect anomalies that might be subtle or difficult for the human eye to spot. These technologies, often working in combination, enable AI systems to perform complex analytical tasks within the clinical environment. read more @https://www.marketresearchfutu....re.com/reports/ai-cl
