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Volumn 35, Issue 4, 2003, Pages 212-214

Is artificial intelligence an intelligent choice for gastroenterologists?

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; DYSPEPSIA; GASTROINTESTINAL DISEASE; HELICOBACTER PYLORI; HUMAN; HUMAN COMPUTER INTERACTION; MEDICAL DECISION MAKING; MEDICAL PRACTICE; MEDICAL SPECIALIST; NOTE; TRAINING; CLASSIFICATION; COMPARATIVE STUDY; DISCRIMINANT ANALYSIS; HELICOBACTER INFECTION; ISOLATION AND PURIFICATION; PREDICTION AND FORECASTING; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

EID: 0042308437     PISSN: 15908658     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1590-8658(03)00056-2     Document Type: Article
Times cited : (4)

References (8)
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  • 3
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    • Classifying coronary dysfunction using neural networks through cardiovascular auscultation
    • Folland R, Hines EL, Boilot P, Morgan D. Classifying coronary dysfunction using neural networks through cardiovascular auscultation. Med Biol Eng Comput 2002;40:339-43.
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    • Folland, R.1    Hines, E.L.2    Boilot, P.3    Morgan, D.4
  • 4
    • 0036898626 scopus 로고    scopus 로고
    • A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain
    • Baxt WG, Shofer FS, Sites FD, Hollander JE. A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. Ann Emerg Med 2002;40:575-83.
    • (2002) Ann. Emerg. Med. , vol.40 , pp. 575-583
    • Baxt, W.G.1    Shofer, F.S.2    Sites, F.D.3    Hollander, J.E.4
  • 5
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    • Prediction of emergency department visits for respiratory symptoms using an artificial neural network
    • Bibi H, Nutman A, Shoseyov D, Shalom M, Peled R, Kivity S, Nutman J. Prediction of emergency department visits for respiratory symptoms using an artificial neural network. Chest 2002;122:1627-32.
    • (2002) Chest , vol.122 , pp. 1627-1632
    • Bibi, H.1    Nutman, A.2    Shoseyov, D.3    Shalom, M.4    Peled, R.5    Kivity, S.6    Nutman, J.7
  • 6
    • 0036051162 scopus 로고    scopus 로고
    • Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: A comparative study
    • Piccolo D, Ferrari A, Peris K, Daidone R, Ruggeri B, Chimenti S. Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: A comparative study. Br J Dermatol 2002;147:481-6.
    • (2002) Br. J. Dermatol. , vol.147 , pp. 481-486
    • Piccolo, D.1    Ferrari, A.2    Peris, K.3    Daidone, R.4    Ruggeri, B.5    Chimenti, S.6
  • 7
    • 0036324792 scopus 로고    scopus 로고
    • Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies
    • Stephan C, Cammann H, Semjonow A, Diamandis EP, Wymenga LF, Lein M, et al. Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies. Clin Chem 2002;48:1279-87.
    • (2002) Clin. Chem. , vol.48 , pp. 1279-1287
    • Stephan, C.1    Cammann, H.2    Semjonow, A.3    Diamandis, E.P.4    Wymenga, L.F.5    Lein, M.6
  • 8
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    • The contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia
    • on behalf of the 'N.U.D. Look' Study Group
    • Andriulli A, Grossi E, Buscema M, Festa V, Garbagna N, Intraligi M, et al., on behalf of the 'N.U.D. Look' Study Group. The contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia. Dig Liv Dis 2003;35:222-31.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.