Healthcare Professional

Healthcare professionals are increasingly supported by artificial intelligence (AI) tools, focusing on improving decision-making, automating tasks, and enhancing patient care. Current research emphasizes the development and evaluation of AI models, including neural networks, deep learning architectures (like Xception and ResNet50V2), and large language models (LLMs), to address challenges in diagnosis, treatment, and administrative tasks across various healthcare professions. This work highlights the need for careful consideration of factors like user trust, explainability, and the potential for over-reliance on AI, aiming to ensure that AI augments, rather than replaces, human expertise and improves overall healthcare outcomes.