Artificial intelligence (AI) aspires to mimic human intelligence. The rapid progress of examination techniques and the increased accessibility of medical information are changing how people view medical treatment. The current study examines how AI is used in medical services and discusses potential future uses. Information on many types of medical services may be processed using artificial intelligence (organized and unstructured). As is customary for text mining of unstructured data, well-known AI approaches also accompany techniques that can be used for organized information and data. Malignancy, nervous system science, and cardiology are important areas that use AI technology. In the three significant regions of right-on-time detection and analysis, therapy, outcome prediction, and diagnostic assessment, we further explore the nuances of AI applications in stroke. The research shows that early AI frameworks like IBM Watson can make implementing AI in real-world settings challenging.

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Transforming Health Care Management Through Artificial Intelligence

  • Reena Lenka,
  • Rohan Deshpande,
  • Vivek Singh

摘要

Artificial intelligence (AI) aspires to mimic human intelligence. The rapid progress of examination techniques and the increased accessibility of medical information are changing how people view medical treatment. The current study examines how AI is used in medical services and discusses potential future uses. Information on many types of medical services may be processed using artificial intelligence (organized and unstructured). As is customary for text mining of unstructured data, well-known AI approaches also accompany techniques that can be used for organized information and data. Malignancy, nervous system science, and cardiology are important areas that use AI technology. In the three significant regions of right-on-time detection and analysis, therapy, outcome prediction, and diagnostic assessment, we further explore the nuances of AI applications in stroke. The research shows that early AI frameworks like IBM Watson can make implementing AI in real-world settings challenging.