Preparing the Findings of the First International Congress on Clubfeet for Computer-Assisted Decision-Making
Growing interest in the clinical implication of the vascular and neurogenic theories of etiology
Age, stiffness, location of the deformity, and socioeconomic environment as determining factors in almost all treatment methods
Awareness of the need to develop quantitative evaluation systems
Increasing interest in forefoot and midfoot deformities and in lateral column procedures
Sporadic attempts to improve the cosmetic appearance of thin calf in clubfoot patients
Occasional reliance on documented algorithms, but rare use of the computer as a tool for clinical analysis.
KeywordsImmobilization Dial Verse Clubfoot Calcis
Unable to display preview. Download preview PDF.
- 1.Bucholz, R.W., Lippert, F.G., Wenger, D.R., Esak, M.: Orthopaedic decision making. St. Louis: C.V. Mosby, 1984.Google Scholar
- 2.Fahmy, W., Kazem, G.: Artificial intelligence: introduction. Eastern Mediterranean Hand Rev. Bull., 12:3–4q, 1991.Google Scholar
- 3.Houssein, M. K.: The Edwin Smith papyrus, the oldest surgical treatise in the world. Egyptian Medical Association. Cairo: Mondial Press, 1943;Case 22, 38–39.Google Scholar
- 4.Hwang, C., Yoon, K.: Multiple attribute decision making: methods and applications; a state-of-the art survey. Lectures. In: Economics and mathematical systems, Heidelberg: Springer-Verlag, 1981;29.Google Scholar
- 5.Mishkoff, H.C.: Understanding artificial intelligence. Indianapolis: Howard W. Sams, 1988;65–96.Google Scholar
- 6.Reggia, J.A., Tuhrim, S.: Computer assisted medical decision making, vol. 2, New York: Springer-Verlag, 1985; 296.Google Scholar
- 7.Simons, G.W.: Complete subtalar release in club feet. Part II—comparison with less extensive procedures. J. Bone Joint Surg., 67-A:1056–1065, 1985.Google Scholar