abstract：OBJECTIVE:This work proposes creating an automatic system to locate and segment the optic nerve head (ONH) in eye fundus photographic images using genetic algorithms. METHODS AND MATERIAL:Domain knowledge is used to create a set of heuristics that guide the various steps involved in the process. Initially, using an ey...

journal_title：Artificial intelligence in medicine

authors： Carmona EJ,Rincón M,García-Feijoó J,Martínez-de-la-Casa JM

更新日期：2008-07-01 00:00:00

abstract：OBJECTIVES:The existence of proper non-invasive temperature estimators is an essential aspect when thermal therapy applications are envisaged. These estimators must be good predictors to enable temperature estimation at different operational situations, providing better control of the therapeutic instrumentation. In th...

journal_title：Artificial intelligence in medicine

authors： Teixeira CA,Ruano MG,Ruano AE,Pereira WC

更新日期：2008-06-01 00:00:00

abstract：OBJECTIVE:Gene Ontology (GO) has become a routine resource for functional analysis of gene lists. Although a number of tools have been provided to identify enriched GO terms in one or two gene lists, two technical challenges remain. First, how to handle multiple hypothesis testing in the analysis given that the tests a...

journal_title：Artificial intelligence in medicine

authors： Zhong S,Xie D

更新日期：2007-10-01 00:00:00

abstract：OBJECTIVE:A major focus in computational system biology research is defining organizing principles that govern complex biological network formation and evolution. The task is considered a major challenge because network behavior and function prediction requires the identification of functionally and statistically impor...

journal_title：Artificial intelligence in medicine

authors： Huang CY,Cheng CY,Sun CT

更新日期：2007-10-01 00:00:00

abstract：OBJECTIVE:The objective of the present work was to develop and compare methods for automatic detection of bilateral sleep spindles. METHODS AND MATERIALS:All-night sleep electroencephalographic (EEG) recordings of 12 healthy subjects with a median age of 40 years were studied. The data contained 6043 visually scored b...

journal_title：Artificial intelligence in medicine

authors： Huupponen E,Gómez-Herrero G,Saastamoinen A,Värri A,Hasan J,Himanen SL

更新日期：2007-07-01 00:00:00

abstract：OBJECTIVE:Sketching is ubiquitous in medicine. Physicians commonly use sketches as part of their note taking in patient records and to help convey diagnoses and treatments to patients. Medical students frequently use sketches to help them think through clinical problems in individual and group problem solving. Applicat...

journal_title：Artificial intelligence in medicine

authors： Haddawy P,Dailey MN,Kaewruen P,Sarakhette N,Hai le H

更新日期：2007-02-01 00:00:00

abstract：OBJECTIVE:The amount of new discoveries (as published in the scientific literature) in the biomedical area is growing at an exponential rate. This growth makes it very difficult to filter the most relevant results, and thus the extraction of the core information becomes very expensive. Therefore, there is a growing int...

journal_title：Artificial intelligence in medicine

authors： Rinaldi F,Schneider G,Kaljurand K,Hess M,Andronis C,Konstandi O,Persidis A

更新日期：2007-02-01 00:00:00

abstract：OBJECTIVE:We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis regulation. METHODS:We cast both models and background knowledge in terms of processes that interact to account for behavior. We a...

journal_title：Artificial intelligence in medicine

authors： Langley P,Shiran O,Shrager J,Todorovski L,Pohorille A

更新日期：2006-07-01 00:00:00

abstract：OBJECTIVE:The complex cognitive processes that underlie human performance in 'messy' contexts such as critical care medicine suggest a need for a cognitive model with broad scope to support the understanding of error in such domains. The objective of this research is to characterize the cognition that underlies patient...

journal_title：Artificial intelligence in medicine

authors： Cohen T,Blatter B,Almeida C,Shortliffe E,Patel V

更新日期：2006-06-01 00:00:00

abstract：OBJECTIVE:This paper proposes a novel method for the extraction and classification of individual motor unit action potentials (MUAPs) from intramuscular electromyographic signals. METHODOLOGY:The proposed method automatically detects the number of template MUAP clusters and classifies them into normal, neuropathic or ...

journal_title：Artificial intelligence in medicine

authors： Katsis CD,Goletsis Y,Likas A,Fotiadis DI,Sarmas I

更新日期：2006-05-01 00:00:00

abstract：OBJECTIVE:The objective of this work is to investigate a possibility of creating a computer-aided decision support system for an automated analysis of vocal cord images aiming to categorize diseases of vocal cords. METHODOLOGY:The problem is treated as a pattern recognition task. To obtain a concise and informative re...

journal_title：Artificial intelligence in medicine

authors： Verikas A,Gelzinis A,Bacauskiene M,Uloza V

更新日期：2006-01-01 00:00:00

abstract：OBJECTIVE:New medical systems may be rejected by staff because they do not integrate with local practice. An expert system, FLORENCE, is being developed to help staff in a neonatal intensive care unit (NICU) make decisions about ventilator settings when treating babies with respiratory distress syndrome. For FLORENCE t...

journal_title：Artificial intelligence in medicine

authors： Baxter GD,Monk AF,Tan K,Dear PR,Newell SJ

更新日期：2005-11-01 00:00:00

abstract：BACKGROUND AND MOTIVATION:DNA microarray technology has made it possible to determine the expression levels of thousands of genes in parallel under multiple experimental conditions. Genome-wide analyses using DNA microarrays make a great contribution to the exploration of the dynamic state of genetic networks, and furt...

journal_title：Artificial intelligence in medicine

authors： Okada Y,Sahara T,Mitsubayashi H,Ohgiya S,Nagashima T

更新日期：2005-09-01 00:00:00

abstract：OBJECTIVE:Protein homology prediction between protein sequences is one of critical problems in computational biology. Such a complex classification problem is common in medical or biological information processing applications. How to build a model with superior generalization capability from training samples is an ess...

journal_title：Artificial intelligence in medicine

authors： Tang Y,Jin B,Zhang YQ

更新日期：2005-09-01 00:00:00

abstract：OBJECTIVE:A metaschema is an abstraction network of the UMLS's semantic network (SN) obtained from a connected partition of its collection of semantic types. A lexical metaschema was previously derived based on a lexical partition which partitioned the SN into semantic-type groups using identical word-usage among the n...

journal_title：Artificial intelligence in medicine

authors： Zhang L,Hripcsak G,Perl Y,Halper M,Geller J

更新日期：2005-07-01 00:00:00

abstract：OBJECTIVE:Progressive loss of the field of vision is characteristic of a number of eye diseases such as glaucoma which is a leading cause of irreversible blindness in the world. Recently, there has been an explosion in the amount of data being stored on patients who suffer from visual deterioration including field test...

journal_title：Artificial intelligence in medicine

authors： Tucker A,Vinciotti V,Liu X,Garway-Heath D

更新日期：2005-06-01 00:00:00

abstract：OBJECTIVE:The objective of this paper is to classify 3D medical images by analyzing spatial distributions to model and characterize the arrangement of the regions of interest (ROIs) in 3D space. METHODS AND MATERIAL:Two methods are proposed for facilitating such classification. The first method uses measures of simila...

journal_title：Artificial intelligence in medicine

authors： Pokrajac D,Megalooikonomou V,Lazarevic A,Kontos D,Obradovic Z

更新日期：2005-03-01 00:00:00

abstract：OBJECTIVES:We present in this article experiments on multi-language information extraction and access in the medical domain. For such applications, multilingual terminology plays a crucial role when working on specialized languages and specific domains. MATERIAL AND METHODS:We propose firstly a method for enriching mu...

journal_title：Artificial intelligence in medicine

authors： Déjean H,Gaussier E,Renders JM,Sadat F

更新日期：2005-02-01 00:00:00

abstract：OBJECTIVE:Develop and evaluate a natural language processing application for classifying chief complaints into syndromic categories for syndromic surveillance. INTRODUCTION:Much of the input data for artificial intelligence applications in the medical field are free-text patient medical records, including dictated med...

journal_title：Artificial intelligence in medicine

authors： Chapman WW,Christensen LM,Wagner MM,Haug PJ,Ivanov O,Dowling JN,Olszewski RT

更新日期：2005-01-01 00:00:00

abstract：:Within the framework of the OPTIVIP project, an optic nerve based visual prosthesis is developed in order to restore partial vision to the blind. One of the main challenges is to understand, decode and model the physiological process linking the stimulating parameters to the visual sensations produced in the visual fi...

journal_title：Artificial intelligence in medicine

authors： Archambeau C,Delbeke J,Veraart C,Verleysen M

更新日期：2004-11-01 00:00:00

abstract：:Traditional Chinese medicine has developed over more than 4000 years. A tremendous amount of medical knowledge has been accumulated, among which herbal drugs and formulae are an important portion. This paper presents an ontology for traditional Chinese drugs and formulae, and an ontology-based system for extracting kn...

journal_title：Artificial intelligence in medicine

authors： Cao C,Wang H,Sui Y

更新日期：2004-09-01 00:00:00

abstract：:The purpose of a clinical trial is to evaluate a new treatment procedure. When medical researchers conduct a trial, they recruit participants with appropriate health problems and medical histories. To select participants, they analyze medical records of the available patients, which has traditionally been a manual pro...

journal_title：Artificial intelligence in medicine

authors： Fink E,Kokku PK,Nikiforou S,Hall LO,Goldgof DB,Krischer JP

更新日期：2004-07-01 00:00:00

abstract：:Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-structure threading for aiding in structure and function determination. Hence the improvement of predictive accuracy of the secondary structure ...

journal_title：Artificial intelligence in medicine

authors： Robles V,Larrañaga P,Peña JM,Menasalvas E,Pérez MS,Herves V,Wasilewska A

更新日期：2004-06-01 00:00:00

abstract：:This paper presents a computer-based model for differential diagnosis of specific language impairment (SLI), a language disorder that, in many cases, cannot be easily diagnosed. This difficulty necessitates the development of a methodology to assist the speech therapist in the diagnostic process. The methodology tool ...

journal_title：Artificial intelligence in medicine

authors： Georgopoulos VC,Malandraki GA,Stylios CD

更新日期：2003-11-01 00:00:00

abstract：:Incorporating prior knowledge into black-box classifiers is still much of an open problem. We propose a hybrid Bayesian methodology that consists in encoding prior knowledge in the form of a (Bayesian) belief network and then using this knowledge to estimate an informative prior for a black-box model (e.g. a multilaye...

journal_title：Artificial intelligence in medicine

authors： Antal P,Fannes G,Timmerman D,Moreau Y,De Moor B

更新日期：2003-09-01 00:00:00

abstract：:In this contribution we present an application of a knowledge-based neural network technique in the domain of medical research. We consider the crucial problem of intensive care patients developing a septic shock during their stay at the intensive care unit. Septic shock is of prime importance in intensive care medici...

journal_title：Artificial intelligence in medicine

authors： Paetz J

更新日期：2003-06-01 00:00:00

abstract：:Allowing exchange of information and cooperation among network-wide distributed and heterogeneous applications is a major need of current health-care information systems. The European project SynEx aims at developing an integration platform for both new and legacy applications on each partner's site. We developed, in ...

journal_title：Artificial intelligence in medicine

authors： Xu Y,Sauquet D,Degoulet P,Jaulent MC

更新日期：2003-03-01 00:00:00

abstract：:Melanoma is the most dangerous skin cancer and early diagnosis is the key factor in its successful treatment. Well-trained dermatologists reach a diagnosis via visual inspection, and reach sensitivity and specificity levels of about 80%. Several computerised diagnostic systems were reported in the literature using dif...

journal_title：Artificial intelligence in medicine

authors： Sboner A,Eccher C,Blanzieri E,Bauer P,Cristofolini M,Zumiani G,Forti S

更新日期：2003-01-01 00:00:00

abstract：:In case-based studies, controls are retrospectively assigned to patients in order to permit a statistical evaluation of the study results through a comparison of the main outcome measures for the patient and retrieved control groups. Inappropriate selection of the controls by using false retrieval parameters or a fals...

journal_title：Artificial intelligence in medicine

authors： Gyöngyösi M,Ploner M,Porenta G,Sperker W,Wexberg P,Strehblow C,Glogar D

更新日期：2002-11-01 00:00:00

abstract：:In this paper, we describe a system for automating the diagnosis of myocardial perfusion from single-photon emission computerized tomography (SPECT) images of male and female hearts. Initially we had several thousand of SPECT images, other clinical data and physician-interpreter's descriptions of the images. The image...

journal_title：Artificial intelligence in medicine

authors： Sacha JP,Goodenday LS,Cios KJ

更新日期：2002-09-01 00:00:00

abstract：:As part of a plan to promote semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA, this study sought to explore and cope with the variability of results that may be anticipated when performing knowledge acquisition with patient data from different patient settings. Patient data were ...

journal_title：Artificial intelligence in medicine

authors： Leitich H,Adlassnig KP,Kolarz G

更新日期：2002-07-01 00:00:00

abstract：:We introduce a novel approach to couple temporal similarity with spatial neighborhood information. This is achieved by concatenating the K nearest, spatially contiguous neighbors of a pixel time-course (TC) of T time-instances. This produces a new TC of (K+1)T time instances. Depending on how "nearest" is defined, we ...

journal_title：Artificial intelligence in medicine

authors： Somorjai RL,Vivanco R,Pizzi N

更新日期：2002-05-01 00:00:00

abstract：:HepatoConsult is a publicly available knowledge-based second opinion and documentation system aiding in the diagnosis of liver diseases. The positive results of a prospective diagnostic evaluation study encouraged its use in clinical routine, although the available hardware infrastructure was not optimal. The comments...

journal_title：Artificial intelligence in medicine

authors： Buscher HP,Engler Ch,Führer A,Kirschke S,Puppe F

更新日期：2002-03-01 00:00:00

abstract：:We present a stochastic algorithm that computes threshold circuits designed to discriminate between two classes of computed tomography (CT) images. The algorithm employs a partition of training examples into several classes according to the average grey scale value of images. For each class, a sub-circuit is computed,...

journal_title：Artificial intelligence in medicine

authors： Albrecht A,Hein E,Steinhöfel K,Taupitz M,Wong CK

更新日期：2002-02-01 00:00:00

abstract：:In this paper, we propose an approach for managing clinical guidelines. We outline a modular architecture, allowing us to separate two conceptually distinct aspects: the representation (and acquisition) of clinical guidelines and their execution. We propose an expressive formalism, which allows one to deal with the co...

journal_title：Artificial intelligence in medicine

authors： Terenziani P,Molino G,Torchio M

更新日期：2001-11-01 00:00:00

abstract：:We present a new stochastic learning algorithm and first results of computational experiments on fragments of liver CT images. The algorithm is designed to compute a depth-three threshold circuit, where the first layer is calculated by an extension of the Perceptron algorithm by a special type of simulated annealing. ...

journal_title：Artificial intelligence in medicine

authors： Albrecht A,Steinhöfel K,Taupitz M,Wong CK

更新日期：2001-06-01 00:00:00

abstract：:The research at the IIIA has produced over more than a decade two versions of a tool for developing knowledge-based systems: Milord and Milord II. This tool has been mainly used for the development of medical applications. In this paper we summarize the Milord II approximate reasoning approach based on fuzzy sets, and...

journal_title：Artificial intelligence in medicine

authors： Godo L,de Mántaras RL,Puyol-Gruart J,Sierra C

更新日期：2001-01-01 00:00:00

abstract：:This work presents a hybrid expert system (HES) intended to minimise some complex problems pervasive to knowledge engineering such as: the knowledge elicitation process, known as the bottleneck of expert systems; the choice of a model for knowledge representation to codify human reasoning; the number of neurons in the...

journal_title：Artificial intelligence in medicine

authors： Brasil LM,de Azevedo FM,Barreto JM

更新日期：2001-01-01 00:00:00

abstract：:Hospital laboratories perform examination tests upon patients, in order to assist medical diagnosis or therapy progress. Planning and scheduling patient requests for examination tests is a complicated problem because it concerns both minimization of patient stay in hospital and maximization of laboratory resources uti...

journal_title：Artificial intelligence in medicine

authors： Marinagi CC,Spyropoulos CD,Papatheodorou C,Kokkotos S

更新日期：2000-10-01 00:00:00

abstract：:This paper describes a methodology for achieving an efficient implementation of clinical practice guidelines. Three main steps are illustrated: knowledge representation, model simulation and implementation within a health care organisation. The resulting system can be classified as a 'guideline-based careflow manageme...

journal_title：Artificial intelligence in medicine

authors： Quaglini S,Stefanelli M,Cavallini A,Micieli G,Fassino C,Mossa C

更新日期：2000-08-01 00:00:00