| Publication number | USD434153 S | | Publication type | Grant | | Application number | 29/086,781 | | Publication date | 21 Nov 2000 | | Filing date | 20 Apr 1998 | |
| Inventors | | | Original Assignee | | |
| U.S. Classification | | |
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Point of care analyte detector system US D434153 S -
The ornamental design for a point of care analyte detector system, as shown and described.
FIG. 1 is a perspective view of a point of care analyte detector system, showing our new design;
FIG. 2 is a top plan view thereof;
FIG. 3 is a left side elevational view thereof;
FIG. 4 is a right side elevational view thereof;
FIG. 5 is a front view thereof; and,
FIG. 6 is a rear view thereof.
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| 1 | "Artificial Intelligence Systems in Routine Clinical Use", (available on http://www.gretmar.com/ailist/list.html on Nov. 21, 1996). | | 2 | "BarCode 1; Code 128 Specification Page", (available on http://www.adams1.com/pub/russadam/128code.html on Apr. 14, 1998). | | 3 | "Code 39 Symbology", (available on http://www.abetech.com/abetech/ab . . . /3d40bf6c892a1f6a8625645100586c88 on Apr. 14, 1998). | | 4 | "Neural Informatics Pearls of Widsom", (available on http://www.smi.stanford.edu/people/ . . . hysiology/Neuro.sub.-- Pearls.html#ANN-app on Nov. 21, 1996). | | 5 | Alvager, T., et al., "The Use of Artificial Neural Networks in Biomedical Technologies: An Introduction", Biomed. Instr. Tech., 315-322 (1994). | | 6 | Baxt, W.G. and White, H., "Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Network Trained to Identify the Presence of Acute Myocardial Infarction", Neur. Comp., 7:624-638 (1995). | | 7 | Baxt, W.G., "A Neural Network Trained to Identify the Presence of Myocaridal Infarction Bases Some Decisions on Clinical Associations that Differ from Accepted Clinical Teaching", Med. Decis. Making, 14:217-222 (1994). | | 8 | Baxt, W.G., "Analysis of the Clinical Variables Driving Decision in an Artificial Neural Network Trained to Identify the Presence of Myocardial Infarction", Ann. Emerg. Med., 21(12):1439-1444 (1992). | | 9 | Baxt, W.G., "Application of Artificial Neural Networks to Clinical Medicine", The Lancet, 346:1135-1138 (1995). | | 10 | Baxt, W.G., "Complexity, Chaos and Human Physiology: The Justification for Non-linear Neural Computational Analysis", Cancer Lett., 77:85-93 (1994). | | 11 | Baxt, W.G., "Improving the Accuracy of an Artificial Neural Network Using Multiple Differently Trained Networks", Neur. Comp., 4:772-780 (1992). | | 12 | Baxt, W.G., "Use of an Articifial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion", Neur. Comp., 2:480-489 (1990). | | 13 | Baxt, W.G., "Use of an Artificial Neural Network for the Diagnosis of Myocardial Infarction", Ann. Int. Med., 115:843-848 (1991). | | 14 | Beksac, M.S. et al., "An Artificial Intelligent Diagnostic System with Neural Networks to Determine Genetical Disorders and Fetal Health by Using Maternal Serum Markers", Eur. Jour. Ob. Gyn. Reprod. Bio., 59:131-136 (1995). | | 15 | Benediktsson, J.A. et al., "Parallel Consensual Neural Networks with Optimally Weighted Output", Proc. World Cong. Neur. Networks, 3:129-137 (1994). | | 16 | BioComp Systems, Inc., "Systems that Learn, Adapt and Evolve", (available on http://www.bio-comp.com/products.htm on Nov. 21, 1996). | | 17 | Blinowska, A. et al., "Diagnostica--A Bayesian Decision-Aid System--Applied to Hypertension Diagnosis", IEEE Transact. Biomed. Eng., 40(3):230-235 (1993). | | 18 | Brickley, M.R. and Shepherd, J.P., "Performance of a Neural Network Trained to Make Third-molar Treatment-planning Decisions", Med. Decis. Making, 16:153-160 (1996). | | 19 | Creasy, R.K. and Resnik, R., "Maternal-Fetal Medicine: Principles and Practice", Ch.36, Sect.18, p. 657, Harcourt, Brace, Jovanovich, Inc., 1989. | | 20 | Davis, R. et al., "Production Rules as a Representation for a Knowledge-Based Consultation Program", Artif. Intel., 8:15-45 (1977). | | 21 | Diller, W., "Horus' Computer-Enhanced Diagnostics", IN VIVO: Business and Medicine Report, pp. 3-10 (1997). | | 22 | Fahlman, S.E. and Lebiere, C., "The Cascade-Correlation Learning Architecture", Adv. Neur. Informat. Proc. Syst., 2:524-532 (1989). | | 23 | Fahlman, S.E., "Faster-Learning Variations on Back-Propagation: An Empirical Study", Proc. 1988 Connectionist Models Summer School, Pittsburgh, pp. 38-51 (1988). | | 24 | Geoghegan, W.D. and Ackerman, G.A., "Adsorption of Horseradish Peroxidase, Ovomucoid and Anti-Immunoglobulin to Colloidal Gold for the Indirect Detection of Concanavalin A, Wheat Germ Agglutinin and Goat Anti-Human Immunoglobulin G on Cell Surfaces at the Electron Microscopic Level: A New Method, Theory and Application", Jour. Hist. Cytochem., 25(11):1187-1200 (1977). | | 25 | Kahn, C.E. et al., "Mammonet: Mammography Decision Support System", (available at http://www.mcw.edu/midas/mammo.html on Nov. 21, 1996). | | 26 | Keller, P.E., "Artificial Neural Networks in Medicine", Handout / Technology brief, Pacific Northwest Laboratory. | | 27 | Kin, J. et al., "Ensemble Competitive Learning Neural Networks with Reduced Input Dimension", Int. J. Neur. Syst., 6(2):133-142 (1995). | | 28 | Kol, S. et al., "Interpretation of Nonstress Tests by an Artificial Neural Network", Am. J. Obstet. Gynecol., 172(5):1372-1379 (1995). | | 29 | LaPuerta, P. et al., "Use of Neural Networks in Predicting the Risk of Coronary Artery Disease", Comp. Biomed. Res., 28:38-52 (1995). | | 30 | Maclin, P.S. et al., "Using Neural Networks to Diagnose Cancer", J. Med. Syst., 15(1):11-19 (1991). | | 31 | Matsuura, H. and Hakomori, S., "The Oncofetal Domain of Fibronectin Defined by Monoclonal Antibody FDC-6: Its Presence in Fibronectins from Fetal and Tumor Tissues and Its Absence in Those from Normal Adult Tissues and Plasma", Proc. Natl. Acad. Sci. USA, 82:6517-6521 (1985). | | 32 | Mobley, B.A. et al., "Artificial Neural Network Predictions of Lengths of Stay on a Post-Coronary Care Unit", Heart Lung, 24(3):251-256 (1995). | | 33 | Modai, I. et al., "Clinical Decisions for Psychiatric Inpatients and their Evaluation by a Trained Neural Network", Meth. Inform. Med., 32(5):396-399 (1993). | | 34 | Moneta, C. et al., "Automated Diagnosis and Disease Characterization using Neural Network Analysis", IEEE Intl. Conf. Systs., Man, Cybernetics, USA, 1:123-128 (1992). | | 35 | Nejad, A.F. and Gedeon, T.D., "Significance Measures and Data Dependency in Classification Methods", IEEE Intl. Conf. Neur. Network Proceedings, Australia, 4:1816-1822 (1995). | | 36 | Ota, H. and Maki, M., "Evaluation of Autoantibody and CA125 in the Diagnosis of Endometriosis or Adenomyosis", Med. Sci. Res., 18:309-310 (1990). | | 37 | Pattichis, C.S. et al., "Neural Network Models in EMG Diagnosis", IEEE Trans. Biomed. Engin., 42:486-495 (1995). | | 38 | Penny, W. and Frost, D., "Neural Networks in Clinical Medicine", Med. Decis. Making, 16:386-398 (1996). | | 39 | Pollak, V. and Boulton, A.A., "An Experimental High-Performance Photodensitometer for Quantitative Chromatography", J. Chromat., 115:335-347 (1975). | | 40 | Press, W.H. et al., eds., "Numerical Recipes in C", Cambridge University Press, Second Edition, 1992. | | 41 | Rogers, S.K. et al., "Artificial Neural Networks for Early Detection and Diagnosis of Cancer", 77:79-83 (1994). | | 42 | Siganos, D., "Neural Networks in Medicine", (available at http://scorch.doc.ic.ac.uk/˜nd/surprise.sub.-- 96/journal/vol2/ds12/article2.html on Nov. 21, 1996). | | 43 | Snow, P.B. et al., "Artificial Neural Networks in the Diagnosis and Prognosis of Prostate Cancer: A Pilot Study", J. Urol., 152:1923-26 (1994). | | 44 | Solms, F. et al., "A Neural Network Diagnostic Tool for the Chronic Fatigue Syndrome", International Conference on Neural Networks, Paper No. 108 (1996). | | 45 | Stamey, T.A., "ProstAsure™: An Information Resource", (available at http://www.labcorp.com/prost3.htm on Nov. 21, 1996). | | 46 | Stephenson, J. "RAMP: A Quantitative Immunoassay Platform Takes Shape", IVD Tech., pp. 51-56 (1996). | | 47 | Turner, D.D. and Garrett, B.A., "Coronary Artery Disease Diagnosis", Technology handout, (available on http://www.emsl.gov:2080/docs/cie/techbrief/CAD.techbrief.html on Nov. 21, 1996). | | 48 | Utans, J. and Moody, J., "Selecting Neural Network Architectures via the Prediction Risk: Application to Corporate Bond Rating Prediction", Proceedings of the First International Conference on Artificial Intelligence Applications on Wall Street, Washington, D.C., IEEE Computer Society Press, pp. 35-41 (1991). | | 49 | Utans, J. et al., "Input Variable Selection for Neural Networks: Application to Predicting the U.S. Business Cycle", IEEE, pp. 118-122 (1995). | | 50 | Weinstein, J.N. et al., "Neural Networks in the Biomedical Sciences: A Survey of 386 Publications Since the Beginning of 1991", pp. 121-126. | | 51 | Widman, L.E., "Expert Systems in Medicine", (available on http://amplatz/uokhsc.edu/acc95-expert-systems.html on Nov. 21, 1996). | | 52 | Wilding, P. et al., "Application of Backpropagation Neural Networks to Diagnosis of Breast and Ovarian Cancer", Cancer Lett., 77:145-153 (1994). | | 53 | Young, G.P., "Diagnosis of Acute Cardiac Ischemia", (available on http://www.library.ucs . . . 1/Originals/young.html on Nov. 21, 1996). |
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