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For example, a survey conducted in the UK estimated that 63% of the population is uncomfortable with sharing their personal data in order to improve artificial intelligence technology. [136] The scarcity of real, accessible patient data is a hindrance that deters the progress of developing and deploying more artificial intelligence in healthcare.
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
This is a list of notable journals related to medical and health informatics. Impact Factors of scholarly journals publishing digital health (ehealth, mhealth) work. BMC Medical Informatics and Decision Making; BMJ Health & Care Informatics; Computers in Biology and Medicine; Health Informatics Journal; International Journal of Medical Informatics
National Survey on Drug Use and Health Large scale survey on health and drug use in the United States. None. 55,268 Text Classification, regression 2012 [269] United States Department of Health and Human Services: Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992
15.ai, a real-time artificial intelligence text-to-speech tool developed by an anonymous researcher from MIT. [70] Amazon Polly, a speech synthesis software by Amazon. [71] Festival Speech Synthesis System, a general multi-lingual speech synthesis system developed at the Centre for Speech Technology Research (CSTR) at the University of ...
Artificial intelligence in mental health is the application of artificial intelligence (AI), computational technologies and algorithms to supplement the understanding, diagnosis, and treatment of mental health disorders. [1] [2] [3] AI is becoming a ubiquitous force in everyday life which can be seen through frequent operation of models like ...
The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled. One potential application is using AI to eliminate hazards by removing humans from hazardous situations that involve risk of stress, overwork, or musculoskeletal injuries.