Cognitive-inspired Computational Computing systems focus on the knowledge sharing and scaling ability between patients, doctors, clinics, etc. Therefore, doctors can effectively plan for effective treatment based on medical evidence and patient profile. Intelligent health informatics is prominently deciding on the common language to explore different treatment options, data analyses, and critical patient data retrieval. Therefore, they can enhance the work of professionals to help improving the quality and consistency of decision-making across an organization. The objective of cognitive systems in healthcare is to increase, accelerate, and scale expertise to make powerful everyone in their roles. This issue of the Journal of Artificial Intelligence and Technology presents five state-of-the-art peer-reviewed contributions, ranging from theory to prototyping, and covering several distinct application topics.

Cognitive-Inspired Computational Computing for Intelligent Health Informatics

Gabriella Casalino;
2024-01-01

Abstract

Cognitive-inspired Computational Computing systems focus on the knowledge sharing and scaling ability between patients, doctors, clinics, etc. Therefore, doctors can effectively plan for effective treatment based on medical evidence and patient profile. Intelligent health informatics is prominently deciding on the common language to explore different treatment options, data analyses, and critical patient data retrieval. Therefore, they can enhance the work of professionals to help improving the quality and consistency of decision-making across an organization. The objective of cognitive systems in healthcare is to increase, accelerate, and scale expertise to make powerful everyone in their roles. This issue of the Journal of Artificial Intelligence and Technology presents five state-of-the-art peer-reviewed contributions, ranging from theory to prototyping, and covering several distinct application topics.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/502660
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