Clinical decision support systems and computer-aided diagnosis in otology

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References

Butcher JN.

.Computers in clinical assessment: historical developments, present status, and future challenges.J Clin Psychol. 2004;60:331-45

Scott JA.

.Artificial neural networks and image interpretation: a ghost in the machine.Semin Ultrasound CT MRI. 2004;25:396-403

Burroni M

Corona R

Dell'Eva G

.Melanoma computer-aided diagnosis: reliability and feasibility study.Clin Cancer Res. 2004;10:1881-6

Modai I

Valevski A

Solomish A

.Neural network detection of files of suicidal patients and suicidal profiles.Med Inform. 1999;24:249-56

Glotsos D

Tohka J

Ravazoula P

.Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.Int J Neural Syst. 2005;15:1-11

Bartlett EE.

.Physicians cognitive errors and their liability consequences.J Health Risk Manag. 1998;18:62-9

Leape LL

Brennan TA

Laird N

.The nature of adverse events in hospitalised patients. Results of the Harvard Medical Practice Study II.N Engl J Med. 1991;324:377-84

Freer TW

Ulissey MJ.

.Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast centre.Radiology. 2001;220:781-6

Osheroff JA

Forsythe DE

Buchanan BG

.Physicians' information needs: analysis of questions posed during clinical teaching.Ann Intern Med. 1991;114:576-81

10.

Awai K

Murao K

Ozawa A

.Pulmonary nodules: estimation of malignancy at thin-section helical CT. Effect of computer-aided diagnosis on performance of radiologists.Radiology. 2006;239:276-84

11.

Horsch K

Giger ML

Vyborny CJ

.Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography.Acad Radiol. 2004;11:272-80

12.

Leape LL.

.A systems analysis approach to medical error.J Eval Clin Prac. 1997;3:213-22

13.

Ramnarayan P

Roberts GC

Coren M

.Assessment of the potential impact of a reminder system on the reduction of diagnostic errors: a quasi-experimental study.BMC Med Inform Decis Mak. 2006;6:22-37

14.

Yoshida H

Dachman AH.

.Computer-aided diagnosis: blessing or curse? Drs Yoshida and Dachman respond to Dr Evancho.Radiology. 2002;225:606

15.

Kentala E

Pyykko I

Auramo Y

.Otoneurological expert system.Ann Otol Rhinol Laryngol. 1996;105:654-8

16.

Gavilan C

Gallego J

Gavilan J.

.‘Carrusel‘: an expert system for vestibular diagnosis.Acta Otolaryngol. 1990;110:161-7

17.

Mira E

Buizza A

Magenes G

.Expert systems as a diagnostic aid in otoneurology.ORL J Otorhinolaryngol Relat Spec. 1990;52:96-103

18.

CohnAILe LieverWCHokansonJA, et al. Acoustic neurinoma diagnostic model evaluation using decision support systems. Arch Otol HNS1986; 112.

19.

Kinney WC.

.Web-based clinical decision support system for triage of vestibular patients.Otolaryngol Head Neck Surg. 2003;128:48-53

20.

Kentala E

Pyykko I

Auramo Y

.Otoneurological expert system for vertigo.Acta Otolaryngol. 1999;119:517-21

21.

Alvarez SM

Poelstra BA

Burd RS.

.Evaluation of a Bayesian decision network for diagnosing pyloric stenosis.J Ped Surg. 2006;41:155-61

22.

Diez FJ

Mira J

Iturralde E

.DIAVAL, a Bayesian expert system for echocardiography.Artif Intell Med. 1997;10:59-73

23.

Jaakkola TS

Jordan MI.

.Variational probabilistic inference and the QMR-DT network.J Artif Intell Res. 1999;10:291-322

24.

Nikiforidis G

Sakellaropoulos G.

.Expert system support using Bayesian belief networks in the prognosis of head-injured patients of the ICU.Med Inform. 1998;23:1-18

25.

Mathew GD

Facer GW

Suh KW

.Symptoms, findings, and methods of diagnosis in patients with acoustic neuroma.Laryngoscope. 1978;88:1893-903

26.

Neary WJ

Newton VE

Laoide-Kemp SN

.A clinical, genetic and audiological study of patients and families with unilateral vestibular schwannomas. II. Audiological findings in 93 patients with unilateral vestibular schwannomas.J Laryngol Otol. 1996;110:1120-8

27.

McKendrick IJ

Gettinby G

Gu Y

.Using a Bayesian belief network to aid differential diagnosis of tropical bovine diseases.Prev Vet Med. 2000;47:141-56

28.

Zadeh L.

.Outline of a new approach to the analysis of complex systems and decision processes.IEEE Trans Syst Man Cybern. 1973;3:28-44

29.

Bosque E.

.Symbiosis of nurse and machine through fuzzy logic: improved specificity of a neonatal pulse oximeter alarm.Adv Nurs Sci. 1995;18:67-75

30.

Gitter A

Lin V.

.Automated sensory nerve conduction testing using fuzzy logic.Am J Phys Med Rehabil. 1999;78:425-34

31.

Hanson CW

Marshall BE.

.Artificial intelligence applications in the intensive care unit.Crit Care Med. 2001;29:427-35

32.

Piater J

Stuchlik F

von Specht H

.Fuzzy sets for feature identification in biomedical signals with self-assessment of reliability: an adaptable algorithm modelling human procedure in BAEP analysis.Comput Biomed Res. 1995;28:335-53

33.

Kentala E

Auramo Y

Juhola M

.Comparison between diagnoses of human experts and a neurotologic expert system.Ann Otol Rhinol Laryngol. 1998;107:135-40

34.

Juhola M

Laurikkala J

Viikki K

.Classification of patients on the basis of otoneurological data by using Kohonen networks.Acta Otolaryngol Suppl. 2001;545:50-2

35.

Sunderman J

Dyer H.

.Chronic ear disease in Australian Aborigines.Med J Aust. 1984;140:708-11

36.

Than KM

Naing KS

Min M.

.Otomycosis in Burma, and its treatment.Am J Trop Med Hyg. 1980;29:620-3

37.

Bergman LG

Fors UGH.

.Computer-aided DSM-IV-diagnostics: acceptance, use and perceived usefulness in relation to user's learning styles.BMC Med Inform Decis Making. 2005;5:1-13

38.

Als AB.

.The desk-top computer as a magic box: patterns of behaviour connected with the desk-top computer; GPs and patients' perceptions.Fam Pract. 1997;14:17-23

39.

Graber MA

VanScoy D.

.How well does decision support software perform in the emergency department.Emerg Med J. 2003;20:426-8