A review of evidence of health benefit from artificial neural networks in medical intervention.
The purpose of this review is to assess the evidence of healthcare benefits involving the application of artificial neural networks to the clinical functions of diagnosis, prognosis and survival analysis, in the medical domains of oncology, critical care and cardiovascular medicine. The primary source of publications is PUBMED listings under Randomised Controlled Trials and Clinical Trials. The rĵle of neural networks is introduced within the context of advances in medical decision support arising from parallel developments in statistics and artificial intelligence. This is followed by a survey of published Randomised Controlled Trials and Clinical Trials, leading to recommendations for good practice in the design and evaluation of neural networks for use in medical intervention.
Lisboa
P J G
PJ
School of Computing and Mathematical Sciences, Liverpool John Moores University, UK. p.j.lisboa@livjm.ac.uk
D003661:Decision Support Techniques; D003695:Delivery of Health Care; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis* / Q000503:physiopathology*; D016571:Neural Networks, Computer; D011379:Prognosis; D016019:Survival Analysis