Application of artificial neural networks to clinical medicine

Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research

Johnston, M. E., Langton, K. B., Haynes, R. B., & Mathieu, A. (1994) · Annals of Internal Medicine · doi:10.7326/0003-4819-120-2-199401150-00007 · Cited by 713 · see citing works

A Computer Protocol to Predict Myocardial Infarction in Emergency Department Patients with Chest Pain

Goldman, L., Cook, E. F., Brand, D. A., Lee, T. H., Rouan, G. W., Weisberg, M. C., Acampora, D., Stasiulewicz, C., Walshon, J., Terranova, G., et al. (1988) · New England Journal of Medicine · doi:10.1056/nejm198803313181301 · Cited by 642 · see citing works

Introduction to neural networks

Cross, S. S., Harrison, R. F., & Kennedy, R. L. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91746-2 · Cited by 615 · see citing works

Use of an Artificial Neural Network for the Diagnosis of Myocardial Infarction

Baxt, W. G. (1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-115-11-843 · Cited by 474 · see citing works

Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.

Wu, Y.-Z. C., Giger, M., Doi, K., et al. (1993) · Radiology · doi:10.1148/radiology.187.1.8451441 · Cited by 451 · see citing works

Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion

Baxt, W. G. (1990) · Neural Computation · doi:10.1162/neco.1990.2.4.480 · Cited by 295 · see citing works

Applications of artificial neural networks for ECG signal detection and classification.

Hu, Y. H., Tompkins, W. J., Urrusti, J. L., et al. (1993) · PubMed · Cited by 261 · see citing works

Artificial Neural Networks in the Diagnosis and Prognosis of Prostate Cancer: A Pilot Study

Snow, P. B., Smith, D. S., & Catàlona, W. J. (1994) · The Journal of Urology · doi:10.1016/s0022-5347(17)32416-3 · Cited by 233 · see citing works

Prospective validation of artificial neural network trained to identify acute myocardial infarction

Baxt, W. G., & Skóra, J. P. (1996) · The Lancet · doi:10.1016/s0140-6736(96)91555-x · Cited by 217 · see citing works

A practical application of neural network analysis for predicting outcome of individual breast cancer patients

Ravdin, P. M., & Clark, G. M. (1992) · Breast Cancer Research and Treatment · doi:10.1007/bf01840841 · Cited by 147 · see citing works

Use of a Neural Network as a Predictive Instrument for Length of Stay in the Intensive Care Unit Following Cardiac Surgery

Tu, J. V., & Guerriere, M. (1993) · Computers and Biomedical Research · doi:10.1006/cbmr.1993.1015 · Cited by 137 · see citing works

Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks

Hart, A., & Wyatt, J. C. (1990) · Medical Informatics · doi:10.3109/14639239009025270 · Cited by 124 · see citing works

Artificial neural networks in pathology and medical laboratories

Dybowski, R., & Gant, V. A. (1995) · The Lancet · doi:10.1016/s0140-6736(95)92904-5 · Cited by 120 · see citing works

Application of Neural Networks to the Interpretation of Laboratory Data in Cancer Diagnosis

Astion, M. L., & Wilding, P. (1992) · Clinical Chemistry · doi:10.1093/clinchem/38.1.34 · Cited by 116 · see citing works

A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit

Buchman, T. G., Kubos, K. L., Seidler, A. J., & SIEGFORTH, M. J. (1994) · Critical Care Medicine · doi:10.1097/00003246-199405000-00008 · Cited by 103 · see citing works

Neural Network in the Clinical Diagnosis of Acute Pulmonary Embolism

Patil, S., Henry, J. W., Rubenfire, M., et al. (1993) · CHEST Journal · doi:10.1378/chest.104.6.1685 · Cited by 100 · see citing works

Predicting Outcomes After Liver Transplantation A Connectionist Approach

Doyle, H. R., Dvorchik, I., Mitchell, S., Marino, I. R., Ebert, F., McMichael, J., & Fung, J. J. (1994) · Annals of Surgery · doi:10.1097/00000658-199404000-00012 · Cited by 100 · see citing works

Feature-based detection of the K-complex wave in the human electroencephalogram using neural networks

Bankman, I. N., Sigillito, V. G., Wise, R. A., et al. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.184707 · Cited by 98 · see citing works

A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders

Bounds, D. G., Lloyd, P. J., & Mathew, B. G. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90008-9 · Cited by 97 · see citing works

Automatic lung nodule detection using profile matching and back-propagation neural network techniques

Shih-Chung, B. L., Freedman, M. T., Lin, J.-S., & Mun, S. K. (1993) · Journal of Digital Imaging · doi:10.1007/bf03168418 · Cited by 94 · see citing works

Pattern recognition of the electroencephalogram by artificial neural networks

Jandó, G., Siegel, R. M., Horváth, Z., & Buzsáki, G. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90082-7 · Cited by 92 · see citing works

Recognition of ventricular fibrillation using neural networks

Clayton, R. H., Murray, A., & Campbell, R. W. F. (1994) · Medical & Biological Engineering & Computing · doi:10.1007/bf02518922 · Cited by 89 · see citing works

Artificial neural networks for cancer research: Outcome prediction

BURKE, H. B. (1994) · Seminars in Surgical Oncology · doi:10.1002/ssu.2980100111 · Cited by 83 · see citing works

Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers

Anderer, P., Saletu, B., Klöppel, B., Semlitsch, H. V., & Werner, H. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90032-9 · Cited by 81 · see citing works

Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects

Kippenhan, J. S., Barker, W., Pascal, S., et al. (1992) · PubMed · doi:10.18419/opus-7190 · Cited by 80 · see citing works

Application of backpropagation neural networks to diagnosis of breast and ovarian cancer

Wilding, P. M., Morgan, M. A., Grygotis, A., Shoffner, M. A., & Rosato, E. F. (1994) · Cancer Letters · doi:10.1016/0304-3835(94)90097-3 · Cited by 77 · see citing works

Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation.

Ebell, M. H. (1993) · PubMed · Cited by 75 · see citing works

Predictive statistics and artificial intelligence in the U.S. National Cancer Institute's drug discovery program for cancer and AIDS

Weinstein, J. N., Myers, T. G., Buolamwini, J. K., et al. (1994) · Stem Cells · doi:10.1002/stem.5530120106 · Cited by 75 · see citing works

Diagnostic ECG classification based on neural networks.

Bortolan, G., & Jl, W. (1993) · PubMed · Cited by 70 · see citing works

Neural Networks in Radiologic Diagnosis; II. Interpretation of Neonatal Chest Radiographs

Gross, G. W., Boone, J. M., GRECO-HUNT, V., et al. (1990) · Investigative Radiology · doi:10.1097/00004424-199009000-00013 · Cited by 69 · see citing works

Neural networks for classification of ECG ST-T segments

Edenbrandt, L., Devine, B., & Macfarlane, P. W. (1992) · Journal of Electrocardiology · doi:10.1016/0022-0736(92)90001-g · Cited by 56 · see citing works

Application of Neural Networks to Pharmacodynamics

Veng‐Pedersen, P., & Modi, N. B. (1993) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.2600820910 · Cited by 55 · see citing works

Application of neural networks to automated assignment of NMR spectra of proteins

Hare, B. J., & Prestegard, J. H. (1994) · Journal of Biomolecular NMR · doi:10.1007/bf00178334 · Cited by 53 · see citing works

Neural network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras

Kippenhan, J. S., Barker, W., Nagel, J. H., Grady, C., & Duara, R. (1994) · PubMed · doi:10.18419/opus-7193 · Cited by 52 · see citing works

Personal computer system for ECG ST-segment recognition based on neural networks

Suzuki, Y., & Ono, K. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02446186 · Cited by 49 · see citing works

Neural network analysis to predict treatment outcome

Kappen, H. J., & Neijt, J. P. (1993) · Annals of Oncology · doi:10.1093/annonc/4.suppl_4.s31 · Cited by 49 · see citing works

A Neural-network Approach to Predicting Admission Decisions in a Psychiatric Emergency Room

Somoza, E. C., & Somoza, J. R. (1993) · Medical Decision Making · doi:10.1177/0272989x9301300402 · Cited by 47 · see citing works

Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression.

Doig, G. S., Inman, K. J., Sibbald, W. J., et al. (1993) · PubMed · Cited by 46 · see citing works

A Genetic Algorithm to Improve a Neural Network to Predict a Patient’s Response to Warfarin

Narayanan, M. N., & Lucas, S. B. (1993) · Methods of Information in Medicine · doi:10.1055/s-0038-1634888 · Cited by 45 · see citing works

Simulated neural networks to predict outcomes, costs, and length of stay among orthopedic rehabilitation patients

Grigsby, J., Kooken, R., & Hershberger, J. (1994) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/0003-9993(94)90081-7 · Cited by 41 · see citing works

The early diagnosis of heart attacks: a neurocomputational approach

Harrison, R. F., Marshall, S. J., & Kennedy, R. L. (2002) · 2022 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1991.155140 · Cited by 40 · see citing works

Application of neural networks to the classification of giant cell arteritis

Astion, M. L., Wener, M. H., Thomas, R. G., et al. (1994) · Arthritis & Rheumatism · doi:10.1002/art.1780370522 · Cited by 40 · see citing works

Diagnosis of Focal Bone Lesions Using Neural Networks

Reinus, W. R., WILSON, A. J., Kalman, B. L., et al. (1994) · Investigative Radiology · doi:10.1097/00004424-199406000-00002 · Cited by 37 · see citing works

Neural networks for analysis of ECG complexes.

Edenbrandt, L., Heden, B., & Pahlm, O. (1993) · PubMed · Cited by 37 · see citing works

Neural network based classification of single-trial EEG data

Mašić, N., & Pfurtscheller, G. (1993) · Artificial Intelligence in Medicine · doi:10.1016/0933-3657(93)90040-a · Cited by 36 · see citing works

A Connectionist Approach to the Diagnosis of Dementia

Mulsant, B. H., & Servan-Schreiber, E. (1988) · PubMed Central · Cited by 32 · see citing works

Artificial neural networks in computer-assisted classification of heart sounds in patients with porcine bioprosthetic valves

Guo, Z., Durand, L., Lee, H. C., et al. (1994) · Medical & Biological Engineering & Computing · doi:10.1007/bf02512528 · Cited by 32 · see citing works

Classification of electrocardiographic ST-T segments -- human expert vs artificial neural network

Edenbrandt, L., Devine, B., & Macfarlane, P. W. (1993) · European Heart Journal · doi:10.1093/eurheartj/14.4.464 · Cited by 30 · see citing works

A neural network classifier for cerebral perfusion imaging.

Chan, K. H., Johnson, K. A., Becker, J. A., et al. (1994) · PubMed · Cited by 30 · see citing works

Neural network paradigm comparisons for appendicitis diagnoses

Eberhart, R. C., Dobbins, R. W., & Hutton, L. V. (2002) · doi:10.1109/cbms.1991.128983 · Cited by 29 · see citing works

Application of Neural Networks for EEG Analysis

Klöppel, B. (2008) · Neuropsychobiology · doi:10.1159/000119061 · Cited by 28 · see citing works

Detection of electrocardiographic ‘left ventricular strain’ using neural nets

Devine, B., & Macfarlane, P. W. (1993) · Medical & Biological Engineering & Computing · doi:10.1007/bf02446686 · Cited by 24 · see citing works

Implantable Cardioverter Defibrillator Electrogram Recognition with a Multilayer Perceptron

Farrugia, S., Yee, H., & Nickolls, P. M. (1993) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.1993.tb01567.x · Cited by 18 · see citing works

Differentiation of Beats of Ventricular and Sinus Origin Using a Self‐Training Neural Network

Evans, S. J., Hastings, H. M., & Bodenheimer, M. (1994) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.1994.tb02398.x · Cited by 17 · see citing works

The use of computer-assisted diagnosis in cardiac-perfusion nuclear medicine studies: A review

Datz, F. L., Gabor, F. V., Christian, P. E., et al. (1992) · Journal of Imaging Informatics in Medicine · doi:10.1007/bf03167802 · Cited by 15 · see citing works

Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves.

Katz, S., Katz, A. S., LOWE, N. J., et al. (1994) · PubMed · Cited by 15 · see citing works

Application of neural networks in medical diagnosis: the case of sexually-transmitted diseases.

So, A.-M., & Lin, F. C. (1992) · PubMed · Cited by 10 · see citing works

Prediction of valve-related complications for artificial heart valves using adaptive neural networks: a preliminary study.

Katz, A. S., Katz, S., Wickham, E., et al. (1993) · PubMed · Cited by 9 · see citing works

The use of computer-assisted diagnosis in cardiac perfusion nuclear medicine studies: A review (part 3)

Datz, F. L., Rosenberg, C., Gabor, F. V., et al. (1993) · Journal of Imaging Informatics in Medicine · doi:10.1007/bf03168433 · Cited by 9 · see citing works

Improving Safety with Information Technology

Bates, D. W., & Gawande, A. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020847 · Cited by 1,544 · see citing works

Neural networks and statistical techniques: A review of applications

Paliwal, M., & Kumar, U. A. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.10.005 · Cited by 792 · see citing works

Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm.

Dybowski, R., Gant, V, Weller, P., & Chang, R. (1996) · The Lancet · doi:10.1016/s0140-6736(96)90609-1 · Cited by 240 · see citing works

Risk stratification and pathological mechanisms in preterm delivery

Lockwood, C. J., & Kuczynski, E. (2001) · Paediatric and Perinatal Epidemiology · doi:10.1046/j.1365-3016.2001.00010.x · Cited by 179 · see citing works

Use of Artificial Intelligence as an Innovative Donor-Recipient Matching Model for Liver Transplantation: Results from a Multicenter Spanish Study

Briceño, J., Cruz-Ramírez, M., Prieto, M., Navasa, M., Ortiz de Urbina, J., Orti, R., Gómez-Bravo, M.-Á., Otero, A., Varo, E., Tomé, S., et al. (2014) · Journal of Hepatology · doi:10.1016/j.jhep.2014.05.039 · Cited by 152 · see citing works

Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network

Wise, E. S., Hocking, K. M., & Brophy, C. M. (2015) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2015.02.038 · Cited by 95 · see citing works

Prediction of heart disease using multilayer perceptron neural network

Sonawane, J. S., & Patil, D. R. (2014) · International Conference on Information Communication and Embedded Systems (ICICES2014) · doi:10.1109/icices.2014.7033860 · Cited by 94 · see citing works

Analysis of meal patterns with the use of supervised data mining techniques—artificial neural networks and decision trees

Hearty, Á. P., & Gibney, M. J. (2008) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26619 · Cited by 86 · see citing works

Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models

Ceccarelli, F., Sciandrone, M., Perricone, C., Galvan, G., Morelli, F., Vicente, L. N., Leccese, I., Massaro, L., Cipriano, E., Spinelli, F. R., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174200 · Cited by 53 · see citing works

Classification of high-resolution manometry data according to videofluoroscopic parameters using pattern recognition

Hoffman, M. R., Jones, C. A., Geng, Z., Abelhalim, S. M., Walczak, C. C., Mitchell, A. R., Jiang, J. J., & McCulloch, T. M. (2013) · Otolaryngology–Head and Neck Surgery · doi:10.1177/0194599813489506 · Cited by 45 · see citing works

Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network

Peng, J. C., Ran, Z. H., & Shen, J. (2015) · International Journal of Colorectal Disease · doi:10.1007/s00384-015-2250-6 · Cited by 40 · see citing works

Artificial neural network classification of pharyngeal high‐resolution manometry with impedance data

Hoffman, M. R., Mielens, J. D., Omari, T. I., Rommel, N., Jiang, J. J., & McCulloch, T. M. (2013) · The Laryngoscope · doi:10.1002/lary.23655 · Cited by 34 · see citing works

Forecasting surface water-level fluctuations of a small glacial lake in Poland using a wavelet-based artificial intelligence method

Piasecki, A., Jurasz, J., & Adamowski, J. F. (2018) · Acta Geophysica · doi:10.1007/s11600-018-0183-5 · Cited by 30 · see citing works

Response to repeat echoendoscopic celiac plexus neurolysis in pancreatic cancer patients: A machine learning approach

Facciorusso, A., Del Prete, V., Antonino, M., Buccino, V. R., & Muscatiello, N. (2019) · Pancreatology · doi:10.1016/j.pan.2019.07.038 · Cited by 30 · see citing works

Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

Loftus, T. J., Brakenridge, S. C., Croft, C. A., Smith, R. S., Efron, P. A., Moore, F. A., Mohr, A. M., & Jordan, J. R. (2017) · Journal of Surgical Research · doi:10.1016/j.jss.2016.12.032 · Cited by 27 · see citing works

Evaluation of artificial neural networks in the classification of primary oesophageal dysmotility

Santos, R., Haack, H. G., Maddalena, D., Hansen, R. D., & Kellow, J. E. (2006) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365520500234030 · Cited by 10 · see citing works

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Genentech taps Affimed’s antibodies

Cross, R. (2018) · C&EN Global Enterprise · doi:10.1021/cen-09635-buscon15

KOMPLIKASI REGIONAL ANESTESI PADA PEDIATRIK

Sari, D. (2023) · Jurnal Komplikasi Anestesi · doi:10.22146/jka.v5i1.7322

Enxerto livre de arteria epigastrica inferior: avaliacao hemodinamica e angiografica pre e pos-operatoria

Dib, A., Puig, L. B., Salvadori, D., et al. (1988) · Arquivos Brasileiros de Cardiologia

Interleucinas na encefalopatia hipóxico-isquêmica

Ceccon, M. E. J. R. (2003) · Jornal de Pediatria · doi:10.1590/s0021-75572003000400002 · Cited by 14 · see citing works