[Application of genetic algorithms and expert systems in medical care. Clinical applications of artificial intelligence]

Caballero Villarraso J, Romero Tabares A, Gavilán León FJ, Baena García M, Díez Vegas FJ
Record ID 32012000009
Authors' recommendations: There were 3787 articles retrieved on AI applications in clinical care and healthcare management; articles related to clinical care numbered 3398, with 398 associated with healthcare management. Of the documents on clinical care, those relating to diagnosis represented 2141 articles (63.17% of the macro-area). Those relating to healthcare Management focused more on the field of healthcare quality with 316 articles (79.39% of the macro-area). The forms of AI considered showed different distribution patterns in both macro-areas. Thus, neural networks represented most scientific production (29%) in terms of clinical care, and healthcare management was most represented by forms of simulation (27.8% simulation models and 23% computer aided simulation). Also, 5605 articles were recovered on the use of AI in various medical specialties. Most instances were found for oncology (1240 articles), followed by neurology (986 articles) and cardiovascular diseases (793 articles), with the sum of these three specialties accounting for 55% of the articles, with other specialties showing a much lower frequency.
Project Status: Completed
Year Published: 2011
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: Spain
Organisation Name: Andalusian Health Technology Assessment Area
Contact Address: Area de Evaluacion de Tecnologias Sanitarias Sanitarias de Andalucia (AETSA) Avda. Innovación, s/n Edificio Arena 1. Sevilla (Spain) Tel. +34 955 006 309
Contact Name: aetsa.csalud@juntadeandalucia.es
Contact Email: aetsa.csalud@juntadeandalucia.es
Copyright: Andalusian Agency for Health Technology Assessment (AETSA)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.