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  1. Schleyer T, Spallek H.  Dental informatics.  A cornerstone of dental practice.  J Am Dent Assoc.  2001 May;132(5):605-13.  Review.
  2. Umar H.  A Markov Process in Clinical Dentistry:  the Prosthodontic Cycle.  In:  Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors.  Computer Assisted Radiology and Surgery:  Proceedings of the 15th International Congress and Exhibition CARS 2001.  Amsterdam, The Netherlands:  Elsevier Science B.V., 2001:  679-684.
  3. Umar H, Druzdzel MJ, Brass S.  A Bayesian Approach to a Dental Clinical Advisory System with EER Prosthodontic Knowledge Representation.  In:  Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors.  Computer Assisted Radiology and Surgery:  Proceedings of the 14th International Congress and Exhibition CARS 2000.  Amsterdam, The Netherlands:  Elsevier Science B.V., 2000:  835-840.
  4. Sonnenberg FA, Beck JR.  Markov models in medical decision making: a practical guide. Med Decis Making.  1993 Oct-Dec;13(4):322-38.
  5. Hollenberg J.  Markov cycle tress:  a new representation for complex Markov processes.  Med Decis Making 1984; 4:529.
  6. Cowell RG, Dawid AP, Lauritzen SL, Spiegelhalter DJ.  Probabilistic Networks and Expert Systems.  New York, NY:  Springer Verlag Inc., 1999.
  7. Shwe MA, Middleton B, Heckerman DE, et. al.  Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base. I.  The probabilistic model and inference algorithms. Methods Inf Med.  1991 Oct;30(4):241-55.
  8. Heckerman DE, Horvitz EJ, Nathwani BN.  Toward normative expert systems:  Part I.  The Pathfinder project. Methods Inf Med.  1992 Jun;31(2):90-105.
  9. Pearl J.  Causal inference from indirect experiments.  Artif Intell Med.  1995 Dec;7(6):561-82.
  10. White SC.  Computer-aided differential diagnosis of oral radiographic lesions.  Dentomaxillofac Radiol.  1989 May;18(2):53-9.
  11. Downer MC, Moles DR.  Health gain from restorative dental treatment evaluated by computer simulation.  Community Dent Health.  1998 Mar;15(1):32-9.
  12. Zafar A, Overhage JM, McDonald CJ.  Continuous speech recognition for clinicians.  J Am Med Inform Assoc.  1999 May-Jun;6(3):195-204.
  13. Krapichler C, Haubner M, Losch A, et. al., Physicians in virtual environments - multimodal human-computer interaction. Interacting with Computers 1999; 11(4):427-452.
  14. Ramaswamy MR, Chaljub G, Esch O, et. al., Continuous speech recognition in MR imaging reporting: advantages, disadvantages, and impact. AJR Am J Roentgenol. 2000 Mar;174(3):617-22.
  15. Foote J.  An Overview of audio information retrieval.  Multimedia Systems 1999; 7:2-10.
  16. Eisner J, Chasteen JE, Schleyer T, et. al.  The Computer Based Oral Health Record.  American Fund for Dental Health, 1993.
  17. Schleyer T, Eisner J.  The computer-based oral health record:  an essential tool for cross-provider quality management.  J Calif Dent Assoc.  1994 Nov;22(11):57-8, 60-1, 63-4.
  18. American Dental Association.  Computer-based oral health record:  Concept model.  Benchmark model 1.0 ed.  Chicago, IL:  American Dental Association, 1996.
  19. Benn DK, Dankel DD, Kostewicz SH.  Can low accuracy disease risk predictor models improve health care using decision support systems?  In:  Chute CG, (ed.).  American Medical Informatics Association, AMIA '98 Annual Symposium. Philadelphia:  Hanley & Belfus, 1998:  577-581.
  20. Benn DK, Clark TD, Dankel DD 2nd, et. al.  Practical approach to evidence-based management of caries.  J Am Coll Dent.  1999 Spring;66(1):27-35.
  21. Benn DK, Dankel DD, Kostewicz SH, et. al.  A tooth chart for severity and activity of caries lesions [IADR abstract].  J Dent Res 1999; 78:1762.
  22. Ireland RS. Initial experience of the ORATEL computerised information tools in general practice. Br Dent J. 1996 Oct 19;181(8):289-95.
  23. Northrup PT.  Concurrent formative evaluation:  Implications for multimedia designers.  Educational Technology 1996; 35(6):24-36.
  24. Schroeder EE, Grabowski BL.  Patterns of exploration and learning with hypermedia.  Journal of Educational Computing Research 1995; 13(4):313-335.
  25. Koumi J.  Media comparison and deployment:  A practitioner's view.  British Journal of Educational Technology 1994; 25(1):41-57.
  26. Ayersman DJ.  Effects of knowledge representation format and hypermedia instruction on metacognitive accuracy.  Computers in Human Behavior 1995; 11(3-4):533-555.
  27. Cooper PA.  Paradigm shifts in designed instruction:  From behaviorism to cognitivism to constructivism.  Educational Technology 1993; 23(5):12-19.
  28. Johnson LA, Schleyer T.  Development of standards for the design of educational software.  Standards Committee for Dental Informatics.  Quintessence Int.  1999 Nov;30(11):763-8.
  29. Schleyer T, Johnson LA, Pham T.  Instructional characteristics of online continuing education courses.  Quintessence Int. 1999 Nov;30(11):755-62.
  30. Sciubba JJ. Improving detection of precancerous and cancerous oral lesions. Computer-assisted analysis of the oral brush biopsy. U.S. Collaborative OralCDx Study Group. J Am Dent Assoc. 1999 Oct;130(10):1445-57.
  31. Wenzel A. Computer-automated caries detection in digital bitewings: consistency of a program and its influence on observer agreement. Caries Res. 2001 Jan-Feb;35(1):12-20.
  32. Farman AG, Scarfe WC . Pixel perception and voxel vision: constructs for a new paradigm in maxillofacial imaging. Dentomaxillofac Radiol. 1994 Feb;23(1):5-9. Review.
  33. Schuler JM, Scribner DA.  Increasing spatial resolution through temporal super-sampling of digital video.  Optical Engineering 1999; 38(5):801-805.
  34. Ader DN, Seibring AR, Bhaskar P, et. al.  Information seeking and interactive videodisc preparation for third molar extraction. J Oral Maxillofac Surg. 1992 Jan;50(1):27-31; discussion 31-2.
  35. Wright DN.  Interactive multimedia dental education:  the next five years and beyond.  Medinfo.  1995;8 Pt 2:1305-7.
  36. Tyndall DA, Boyd KS, Matteson SR, et. al.  Video-based teleradiology for intraosseous lesions.  A receiver operating characteristic analysis.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1995 Nov;80(5):599-603.
  37. Le TN, Sameshima GT, Grubb JE, et. al.  The role of computerized video imaging in predicting adult extraction treatment outcomes.  Angle Orthod.  1998 Oct;68(5):391-9.
  38. Chen SK, Yu KM, Chen RS, et. al.  Implementation of an oral and maxillofacial radiology image management and communication system. Dentomaxillofac Radiol.  1998 Nov;27(6):358-62.
  39. Wyatt CC, Pharoah MJ.  Imaging techniques and image interpretation for dental implant treatment.  Int J Prosthodont. 1998 Sep-Oct;11(5):442-52.  Review.
  40. Farman AG, Scarfe WC, Schick DB, et. al.  Computed dental radiography: evaluation of a new charge-coupled device-based intraoral radiographic system.  Quintessence Int.  1995 Jun;26(6):399-404.
  41. Versteeg CH, Sanderink GC, van Ginkel FC, et. al.  An evaluation of periapical radiography with a charge-coupled device. Dentomaxillofac Radiol.  1998 Mar;27(2):97-101.
  42. Wakoh M, Farman AG, Scarfe WC, et. al.  Radiation exposures with the RVG-S and conventional intraoral radiographic films.  Oral Radiol (Japan) 1994; 10(33):40.
  43. Sanderink GC, Huiskens R, van der Stelt PF, et. al.  Image quality of direct digital intraoral x-ray sensors in assessing root canal length.  The RadioVisioGraphy, Visualix/VIXA, Sens-A-Ray, and Flash Dent systems compared with Ektaspeed films.  Oral Surg Oral Med Oral Pathol.  1994 Jul;78(1):125-32.
  44. Farman AG, Farman TT.  [RVG-ui: a sensor to rival direct-exposure intra-oral x-ray film.]  Int J Comput Dent.  1999 Jul;2(3):183-96.
  45. Farman AG, Farman TT.  Extraoral and panoramic systems.  Dent Clin North Am. 2000 Apr;44(2):257-72, v-vi.  Review.
  46. Whitman DH, Connaughton B.  Model surgery prediction for mandibular midline distraction osteogenesis.  Int J Oral Maxillofac Surg.  1999 Dec;28(6):421-3.
  47. Gaggl A, Schultes G, Santler G, et. al.  Treatment planning for sinus lift augmentations through use of 3-dimensional milled models derived from computed tomography scans:  a report of 3 cases.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1998 Oct;86(4):388-92.
  48. Nasel CJ, Pretterklieber M, Gahleitner A, et. al.  Osteometry of the mandible performed using dental MR imaging.  AJNR Am J Neuroradiol.  1999 Aug;20(7):1221-7.
  49. Nasel C, Gahleitner A, Breitenseher M, et. al.  Localization of the mandibular neurovascular bundle using dental magnetic resonance imaging.  Dentomaxillofac Radiol.  1998 Sep;27(5):305-7.
  50. Zhang XN, Nishiyama H, Murakami S, et. al.  A study of condylar movement by bilateral simultaneous videofluorography.  Dentomaxillofac Radiol.  1998 Sep;27(5):279-86.
  51. Yang J, Cavalcanti MG, Ruprecht A, et. al.  2-D and 3-D reconstructions of spiral computed tomography in localization of the inferior alveolar canal for dental implants.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1999 Mar;87(3):369-74.
  52. Cavalcanti MG, Vannier MW.  Quantitative analysis of spiral computed tomography for craniofacial clinical applications.  Dentomaxillofac Radiol.  1998 Nov;27(6):344-50.
  53. Befu S, Tsunashima H, Arai Y.  A study on three-dimensional image processing method for 3DX multi image micro CT.  In:  Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors.  Computer Assisted Radiology and Surgery:  Proceedings of the 15th International Congress and Exhibition CARS 2001.  Amsterdam, The Netherlands:  Elsevier Science B.V., 2001;665-670.
  54. Webber RL, Horton RA, Tyndall DA, et. al.  Tuned-aperture computed tomography (TACT).  Theory and application for three-dimensional dento-alveolar imaging.  Dentomaxillofac Radiol.  1997 Jan;26(1):53-62.
  55. Tyndall DA, Clifton TL, Webber RL, et. al.  TACT imaging of primary caries.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1997 Aug;84(2):214-25.
  56. Nance RS, Tyndall D, Levin LG, et. al.  Diagnosis of external root resorption using TACT (tuned-aperture computed tomography).  Endod Dent Traumatol.  2000 Feb;16(1):24-8.
  57. Yamamoto K, Farman AG, Webber RL, et. al.  Effect of number of projections on accuracy of depth discrimination using tuned-aperture computed tomography for 3-dimensional dentoalveolar imaging of low-contrast details.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1999 Jul;88(1):100-5.
  58. Horton RA, Ludlow JB, Webber RL, et. al.  Detection of peri-implant bone changes with axial tomosynthesis.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1996 Jan;81(1):124-9.
  59. Wenzel A.  Computer-aided image manipulation of intraoral radiographs to enhance diagnosis in dental practice:  a review. Int Dent J.  1993 Apr;43(2):99-108.  Review.
  60. Tsang A, Sweet D, Wood RE.  Potential for fraudulent use of digital radiography.  J Am Dent Assoc.  1999 Sep;130(9):1325-9.
  61. Eraso FE, Scarfe WC, Hayakawa Y, et. al.  Teledentistry: protocols for the transmission of digitized radiographs of the temporomandibular joint.  J Telemed Telecare.  1996;2(4):217-23.
  62. Ernst RD, Kawashima A, Shepherd W, et. al.  Distributing digital imaging and communications in medicine data and optimizing access over satellite networks.  J Digit Imaging.  1999 May;12(2 Suppl 1):195-6.
  63. Kordass B, Gaertner Ch.  The virtual articulator—concept and development of VR-tools to analyse the dysfunction of dental occlusion.  In:  Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors.  Computer Assisted Radiology and Surgery:  Proceedings of the 15th International Congress and Exhibition CARS 2001.  Amsterdam, The Netherlands:  Elsevier Science B.V., 2001;649-653.
  64. Bryant SR.  The effects of age, jaw site, and bone condition on oral implant outcomes.  Int J Prosthodont.  1998 Sep-Oct;11(5):470-90.  Review.
  65. Carr AB.  Successful long-term treatment outcomes in the field of osseointegrated implants:  prosthodontic determinants.  Int J Prosthodont.  1998 Sep-Oct;11(5):502-12.  Review.
  66. Braitman LE, Davidoff F.  Predicting clinical states in individual patients.  Ann Intern Med.  1996 Sep 1;125(5):406-12.  Review.
  67. Tu JV.  Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.  J Clin Epidemiol.  1996 Nov;49(11):1225-31.  Review.
  68. Glonek GFV.  On identifiability in models for incomplete binary data.  Statistics & Probability Letters 1999; 41:191-197.
  69. Friedman N, Murphy K, Russel SJ.  Learning the structure of dynamic probabilistic networks.  Proceedings of the Conference on Uncertainty in Artificial Intelligence.  1998, 139-147.
  70. Ramoni M, Sebastiani P.  Discovering Bayesian networks in incomplete databases.  Technical Report KMi-TR-46.  Milton Keynes, United Kingdom MK7 6AA, Knowledge Media Institute, The Open University, 1997, 1-5.
  71. Tversky A, Kahneman D.  Judgements under uncertainty:  Heuristics and biases.  Science 1974; 185:1124-1131.
  72. Adelson B.  Comparing natural and abstract categories:  A case study from computer science.  Cognitive Science 1985; 9:417-430.
  73. Corey GA.  Cardiac ischemia decision-support tools.  J Fam Pract.  1988 Dec;27(6):576-7.  No abstract available.
  74. Spiegelhalter DJ, Knill-Jones RP.  Statistical and knowledge-based approaches to clinical decision-support systems, with an application in gastroenterology.  J R Statist Soc 1984;147(1):35-77.
  75. Shachter RD, Heckerman DE.  Thinking backward for knowledge acquisition.  AI Magazine 1987; Fall issue:55-61.
  76. Morgan MG, Henrion M.  Uncertainty:  A guide to dealing with uncertainty in quantitative risk and policy analysis.  reprint ed.  Cambridge:  Cambridge University Press, 1992.
  77. Tversky A, Shafir E.  The disjunction effect in choice under uncertainty.  Psychological Science 1992; 3:305-309.
  78. Druzdzel MJ, Flynn RR.  Decision Support Systems.  In:  Kent A, editor.  Encyclodpedia of Library and Information Science, in press.  Marcel Dekker, Inc., 2000.
  79. Russel SJ, Norvig P.  Making complex decisions.  In:  Russel SJ, Norvig P, editors.  Artificial Intelligence:  A modern approach.  Upper Saddle River, NJ:  Prentice Hall, 1995: 498-522.
  80. Charniak E.  Bayesian networks without tears.  AI Magazine 1991; 12:50-63.
  81. Spiegelhalter DJ, Dawid AP, Lauritzen SL, et. al.  Bayesian Analysis in Expert Systems.  Statistical Science 1993; 8(3):219-283.
  82. Stevens RH, Lopo AC, Wang P.  Artificial neural networks can distinguish novice and expert strategies during complex problem solving.  J Am Med Inform Assoc.  1996 Mar-Apr;3(2):131-8.
  83. Kahn MG, Dunagan WC, Steib SA, et. al.  Monitoring expert system performance using continuous user feedback.  J Am Med Inform Assoc.  1996 May-Jun;3(3):216-23.
  84. Durkin J.  Expert Systems:  A view of the Field.  IEEE expert intelligent systems 1996; 11(2):56-63.
  85. Henrion M, Breese JS, Horvitz EJ.  Decision analysis and expert systems.  AI Magazine 1991; 12:64-91.
  86. Sailors RMM, East TD, Wallace CJ, et. al.  Testing and VAlidation of Computerized Decision Support Systems.  American Medical Informatics Association Annual Fall Symposium 1996;234-238.
  87. Elstein AS, Friedman CP, Wolf FM, et. al.  Effects of a decision support system on the diagnostic accuracy of users:  a preliminary report.  J Am Med Inform Assoc.  1996 Nov-Dec;3(6):422-8.
  88. Lobach DF, Hammond WE.  Computerized decision support based on a clinical practice guideline improves compliance with care standards.  Am J Med.  1997 Jan;102(1):89-98.
  89. Elson RB, Faughnan JG, Connelly DP. An industrial process view of information delivery to support clinical decision making: implications for systems design and process measures. J Am Med Inform Assoc. 1997 Jul-Aug;4(4):266-78. Review.
  90. Hunt DL, Haynes RB, Hanna SE, et. al.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes:  a systematic review.  JAMA. 1998 Oct 21;280(15):1339-46.
  91. Reichert A, Sadan BA, Bengtsson S, et. al.  Design of an oral health information system based upon a computer based dental record. Jerusalem, Israel:  Freund, 1993.
  92. White SC.  Decision-support systems in dentistry.  J Dent Educ.  1996 Jan;60(1):47-63.  Review.
  93. Firriolo FJ, Levy BA.  Computer expert system for the histopathologic diagnosis of salivary gland neoplasms.  Oral Surg Oral Med Oral Pathol Oral Radiol Endod.  1996 Aug;82(2):179-86.
  94. Hammond RM, Freer TJ.  Application of a case-based expert system to orthodontic diagnosis and treatment planning:  a review of the literature.  Aust Orthod J.  1996 Oct;14(3):150-3.  Review.
  95. Brickley MR, Shepherd JP.  Comparisons of the abilities of a neural network and three consultant oral surgeons to make decisions about third molar removal.  Br Dent J.  1997 Jan 25;182(2):59-63.
  96. Hammond P, Wells P, Modgil S.  Animating Medical and Safety Knowledge.  In:  Horn W, Shahar Y, Lindberg G, Andreassen S, Wyatt J, (eds.).  Artificial Intelligence in Medicine.  Proceedings AIMDM '99.  Berlin-Heidelberg, Germany: Springer-Verlag, 1999 443-447.
  97. Rekow ED.  A review of the developments in dental CAD/CAM systems. Curr Opin Dent. 1992 Jun;2:25-33.  Review.
  98. Willer J, Rossbach A, Weber HP. Computer-assisted milling of dental restorations using a new CAD/CAM data acquisition system. J Prosthet Dent. 1998 Sep;80(3):346-53.
  99. Joffe JM, Nicoll SR, Richards R, et. al.  Validation of computer-assisted manufacture of titanium plates for cranioplasty.  Int J Oral Maxillofac Surg. 1999 Aug;28(4):309-13.
  100. Tang CK, Medioni G, Duret F.  Automatic, accurate surface model inference for dental CAD/CAM.  Medical Image Computing and Computer-Assisted Intervention-MICCAI'98 1998 1496:732-742.
  101. Nash RW.  A New CAD/CAM Esthetic Crown System.  Compendium 19[6], 560-566.  1998.
  102. Mormann WH, Schug J. Grinding precision and accuracy of fit of CEREC 2 CAD-CIM inlays. J Am Dent Assoc. 1997 Jan;128(1):47-53.
  103. Tsutsumi S, Nambu T.  Parallel robots for 3D digitizing and motion-controlling in clinical dentistry.  J Dent Res.  1998 77(Sp. Iss. B):1609.
  104. Charles J.  Neural Interfaces Link the Mind and the Machine.  Computer 1999 32(1):16-18.
  105. Seipel S, Wagner IV, Koch S, et. al. Oral implant treatment planning in a virtual reality environment. Comput Methods Programs Biomed. 1998 Aug-Sep;57(1-2):95-103.
  106. Anderson MF, Moazamipour H, Hudson DL, et. al. The role of the Internet in medical decision making. Int J Med Inf. 1997 Nov;47(1-2):43-9.
  107. Schleyer TK. Clinical decision-making and the Internet. J Am Coll Dent. 1999 Summer;66(2):29-39. Review.
  108. Riva A, Bellazzi R, Lanzola G, et. al. A development environment for knowledge-based medical applications on the World-Wide Web. Artif Intell Med. 1998 Nov;14(3):279-93.
  109. Schleyer TK, Spallek H, Arsalan M.  Dental resources on the World Wide Web.  MD Comput.  1998 Jul-Aug;15(4):252-5, 265.  No abstract available.
  110. Schleyer TK, Dasari VR.  Computer-based oral health records on the World Wide Web.  Quintessence Int.  1999 Jul;30(7):451-60.  Review.
  111. Collen MF.  A vision of health care and informatics in 2008.  J Am Med Inform Assoc.  1999 Jan-Feb;6(1):1-5.
  112. Lackey AD.  Computers in the Dental Treatment Room.  DDRT [2nd edition], 17-19.  1994.
  113. Cohen BJ, Goldberg HS, Pauker SG.  DecisionNET: database/network support for clinical decision analysts.  Ann N Y Acad Sci.  1992 Dec 17;670:127-32
  114. Gu H, Halper M, Geller J, et. al.  Benefits of an object-oriented database representation for controlled medical terminologies.  J Am Med Inform Assoc.  1999 Jul-Aug;6(4):283-303.
  115. Campbell KE, Oliver DE, Spackman KA, et. al.  Representing thoughts, words, and things in the UMLS.  J Am Med Inform Assoc.  1998 Sep-Oct;5(5):421-31.
  116. Rothwell DJ, Cote RA.  Managing information with SNOMED:  understanding the model.  Proc AMIA Annu Fall Symp.  1996;:80-3.
  117. Sneiderman CA, Rindflesch TC, Aronson AR.  Finding the findings: identification of findings in medical literature using restricted natural language processing.  Proc AMIA Annu Fall Symp.  1996;:239-43.
  118. McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc. 1997 May-Jun;4(3):213-21. Review.
  119. Lussier YA, Spackman KA, Campbell KE.  Using SNOMED in Relational and Object-Oriented Database Design.  Tutorial T25.  1997.  Nashville, TN, American Medical Informatics Association, Annual Fall Symposium.  26-10-1997
  120. McKee L.  SNODENT to provide inclusive means of transmitting dental information.  ADA News 30[9], Cover, 9.  1999.  3-5.
  121. Dove SB, McDavid WD, Welander U, et. al.  Design and implementation of an image management and communications system (IMACS) for dentomaxillofacial radiology.  Dentomaxillofac Radiol.  1992 Nov;21(4):216-21.
  122. Chen SK, Yu KM, Chen RS, et. al. Implementation of an oral and maxillofacial radiology image management and communication system. Dentomaxillofac Radiol. 1998 Nov;27(6):358-62.
  123. Musen MA, Tu SW, Das AK, et. al. EON: a component-based approach to automation of protocol-directed therapy. J Am Med Inform Assoc. 1996 Nov-Dec;3(6):367-88.
    124.

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