Literature DB >> 6371951

Computer-aided diagnosis of acute abdominal pain. The British experience.

F T de Dombal.   

Abstract

This presentation reviews the U.K. experience of computer-aided diagnosis of acute abdominal pain--which now relates to over 30,000 cases seen in more than 10 hospitals during a 13 years period. Following a discussion of the philosophy, construction and mode of usage of the systems employed, results of this experience are presented. Computer-aided diagnosis in this area has been shown to be feasible and (if correctly utilised) leads to improvements in patient care, diagnosis, and decision making by the doctors involved. In this context, the computer is simply one element of an integrated package reaffirming the importance of traditional clinical medicine.

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Year:  1984        PMID: 6371951

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   1.019


  2 in total

1.  Computer-unaided diagnosis of acute abdominal pain in an accident and emergency department.

Authors:  A K Maitra; P J Briggs; D McGeehan
Journal:  Arch Emerg Med       Date:  1988-06

2.  A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic.

Authors:  Muhammad Nazrul Islam; Toki Tahmid Inan; Suzzana Rafi; Syeda Sabrina Akter; Iqbal H Sarker; A K M Najmul Islam
Journal:  IEEE Trans Artif Intell       Date:  2021-03-01
  2 in total

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