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Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [118] [119] [120] to the discovery, development, and the treatment of patients with medications. [121] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of ...
Artificial intelligence (AI) has been used in applications throughout industry and academia. In a manner analogous to electricity or computers, AI serves as a general-purpose technology . AI programs are designed to simulate human perception and understanding.
The scale and capabilities of artificial intelligence (AI) systems are growing rapidly, notably due to advances in big data. In healthcare, it is expected to provide easier accessibility of information, and to improve treatments while reducing cost. The integration of AI in healthcare tends to improve the quality and efficiency of complex tasks.
In 2019, 1 in every 8 people, or 970 million people around the world were living with a mental disorder, with anxiety and depressive disorders being the most common. [6] In 2020, the number of people living with anxiety and depressive disorders rose significantly because of the COVID-19 pandemic. [7]
The use of electronic and communication technologies as a therapeutic aid to healthcare practices is commonly referred to as telemedicine [1] or eHealth. [2] [3] [4] The use of such technologies as a supplement to mainstream therapies for mental disorders is an emerging mental health treatment field which, it is argued, could improve the accessibility, effectiveness and affordability of mental ...
Generative artificial intelligence (generative AI, GenAI, [167] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 168 ] [ 169 ] [ 170 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 171 ...
A pioneer in the use of artificial intelligence in healthcare was American biomedical informatician Edward H. Shortliffe. This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.
Examples of artificial intelligence algorithms applied to real-world problems. For technologies used in these applications see: Category:Artificial intelligence; Category:Classification algorithms; Category:Machine learning