Clinical Assessment

Clinical assessment is undergoing a transformation driven by artificial intelligence, aiming to improve diagnostic accuracy, efficiency, and patient care. Current research focuses on developing and validating AI models, including large language models (LLMs) and deep learning architectures, to analyze diverse data sources such as medical images, sensor data, and textual symptom descriptions. These efforts leverage techniques like semantic textual similarity and novel algorithms to address challenges like data imbalance and temporal shifts in healthcare data. The ultimate goal is to augment, not replace, clinician expertise, leading to more informed decisions and improved patient outcomes.