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PubMed2002

Apolipoprotein E genotype does not predict decline in intelligence in healthy older adults.

There is evidence of a genetic influence on the decline in cognitive performance of older adults, although the mechanisms responsible are unknown. A group of 767 subjects of the Manchester University Age and Cognitive Performance longitudinal study volunteer group, followed up from 1985 to the present, were genotyped for apolipoprotein E (APOE). The data from this were related to cross-sectional and longitudinal trends in the Heim intelligence test score (AH4-1) using previously reported random-effects models (Neuropsychologia 39 (2001) 532). There were no significant differences in mean scores for presence compared with absence of the APOE4 or APOE2 genotypes (P=0.48 and P=0.51, respectively). This research does not demonstrate a link between intelligence and APOE genotype in older adults.

Age Factors↗
PubMed2003

Prediction of drug release profiles using an intelligent learning system: an experimental study in transdermal iontophoresis.

This paper investigates the use of a neural-network-based intelligent learning system for the prediction of drug release profiles. An experimental study in transdermal iontophoresis (TI) is employed to evaluate the applicability of a particular neural network (NN) model, i.e. the Gaussian mixture model (GMM), in modeling and predicting drug release profiles. A number of tests are systematically designed using the face-centered central composite design (CCD) approach to examine the effects of various process variables simultaneously during the iontophoresis process. The GMM is then applied to model and predict the drug release profiles based on the data samples collected from the experiments. The GMM results are compared with those from multiple regression models. In addition, the bootstrap method is used to assess the reliability of the network predictions by estimating confidence intervals associated with the results. The results demonstrate that the combination of the face-centered CCD and GMM can be employed as a useful intelligent tool for the prediction of time-series profiles in pharmaceutical and biomedical experiments.

Administration, Cutaneous↗
PubMedDate not supplied

Cognitive and sensorimotor functions in 6-year-old children in relation to lead and mercury levels: adjustment for intelligence and contrast sensitivity in computerized testing.

Within a larger environmental health screening program neurobehavioral measures were taken in 384 6-year-old children (mean age 74 months) in the cities of Leipzig, Gardelegen, and Duisburg. Lead concentrations in venous blood samples (PbB) and urinary mercury excretion in 24-h samples (HgU) were measured as markers of environmental exposure by electrothermal AAS. Dependent variables included two subtests from the WISC [vocabulary (V) and block design (BD)] as well as five tests from the NES2 [pattern comparison, pattern memory, tapping, simple reaction time, and the continuous performance test (CPT; child version)]. In addition, visual functions [visual acuity (TITMUS-test) and contrast sensitivity (FACT)] were tested as covariates. The overall average PbB (geometric mean) was 42.5 microg/l (upper 95% value = 89 microg/l). The overall average mercury excretion (HgU) was 0.16 microg/24 h. Whereas no significant or borderline associations between HgU and any of the target variables was found, significant negative associations were observed between PbB and verbal intelligence (WISC vocabulary but not WISC Block Design) and false-positive responses (false alarms), as well as false-negative responses (miss) in the CPT. Whereas parental education was the most important confounder for WISC performance, visual contrast sensitivity and computer familiarity also proved predictive for performance in several computer-based NES subtests. It is concluded that non-IQ measures, namely measures of sustained attention, are negatively affected in children with 95% of blood-lead levels below 90 microg/l, even after adjustment for intelligence and contrast sensitivity, whereas the causative role of lead in altering IQ functions remains somewhat equivocal, because important covariates could not be controlled for.

Child↗
PubMed2001

The graphical presentation of decision support information in an intelligent anaesthesia monitor.

This contribution examines the graphical presentation of decision support information generated by an intelligent monitor, named SENTINEL, developed for use during anaesthesia. Clinicians make diagnoses in real-time during operations by examining clinically significant trends in multiple signals. SENTINEL attempts to mimic this decision process by using a system of fuzzy trend templates. SENTINEL's implementation of fuzzy trend templates is capable of providing the dual fuzzy measures of belief and plausibility, which are derived from the theory of evidence. It is thus capable of generating fairly rich diagnostic decision support information. However, for SENTINEL to be effective, the visual presentation of this information must be intuitive to the anaesthetist, who may not be familiar with the theory of evidence. This paper discusses techniques that are being evaluated to meet the requirements of the SENTINEL anaesthesia monitor. Specifically, the paper presents methods for highlighting clinically significant trends in physiological (or derived) signals by superimposing a coloured band on the signal that reflects fuzzy output from the intelligent monitor. This paper also discusses the intuitive graphical presentation of binary diagnostic fuzzy measures, including their further interpretation and presentation as crisp "alarm" and "warning" conditions.

Anesthesia, General↗
PubMed2001

The socio-organizational age of artificial intelligence in medicine.

The increasing pressure on Health Care Organizations (HCOs) to ensure efficiency and cost-effectiveness, balancing quality of care and cost containment, will drive them towards a more effective management of medical knowledge derived from research findings. The relation between science and health services has until recently been too casual. The primary job of medical research has been to understand the mechanisms of disease and produce new treatments, not to worry about the effectiveness of the new treatments or their implementation. As a result many new treatments have taken years to become part of routine practice, ineffective treatments have been widely used, and medicine has been opinion rather than evidence based. This results in suboptimal care for patients. Knowledge management technology may provide effective approaches in speeding up the diffusion of innovative medical procedures whose clinical effectiveness have been proved: the most interesting one is represented by computer-based utilization of evidence-based clinical guidelines. As researchers in Artificial Intelligence in Medicine (AIM), we are committed to foster the strategic transition from opinion to evidence-based decision making. Reviews of the effectiveness of various methods of guideline dissemination show that the most predictable impact is achieved when the guideline is made accessible through computer-based and patient specific reminders that are integrated into the clinician's workflow. However, the traditional single doctor-patient relationship is being replaced by one in which the patient is managed by a team of health care professionals, each specializing in one aspect of care. Such shared care depends critically on the ability to share patient-specific information and medical knowledge easily among them. Strategically there is a need to take a more clinical process view of health care delivery and to identify the appropriate organizational and information infrastructures to support this process. Thus, the great challenge for AIM researchers is to exploit the astonishing capabilities of new technologies to disseminate their tools to benefit HCOs by assuring the conditions of knowledge management and organizational learning at the fullest extent possible. To achieve such a strategic goal, a guideline can be viewed as a model of the care process. It must be combined with an organization model of the specific HCO to build patient careflow management systems. Artificial intelligence can be extensively used to design innovative tools to support all the development stages of those systems. However, exploiting the knowledge represented in a guideline to build them requires to extend today's workflow technology by solving some challenging problems.

Artificial Intelligence↗
PubMed2003

A multi-agent intelligent environment for medical knowledge.

AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).

Artificial Intelligence↗
PubMed1989

Improvement of speech intelligibility by a secondary operation to mobilize the tongue after glossectomy.

To prove the hypothesis that speech after glossectomy would be improved more by increasing the mobility of the remaining tongue rather than by increasing its volume, the speech intelligibility of 4 glossectomy patients was investigated before and after a secondary operation in which a split skin graft was used to mobilize the residual tongue. In each case, the postoperative speech intelligibility scores were higher than preoperative ones (case 1:83.6 to 97.2%, case 2: 76.6 to 82.5%, case 3: 51.5 to 58.5%, case 4: 30.2 to 49.3%). Sounds produced with the rear portion of the tongue were improved in 3 cases, and plosive and affricative sounds were remarkably improved in all cases. These results were considered to be due to the increased mobility, especially the mid and rear portions of the tongue.

Adult↗
PubMed1998

An intelligent control system for ventilators.

This study reports on a ventilator system that consists of several intelligent modules for controlling ventilator operation. These modules are software programs in two controllers. One controller is a personal computer used for diagnoses, determining settings and checking the effects of settings. The other controller is a single-chip microprocessor in a ventilator that controls the ventilator's settings in accordance with the computer settings. After setting up the system, an artificial lung model simulating a patient's lung is used to test the system. The result of test run indicated that it always responds to a patient's lung condition in a stable manner. Thus, the proposed system with its intelligent modules may assist clinicians in caring for patients and managing ventilator operation.

Algorithms↗
PubMed2005

Artificial intelligence and robotics in high throughput post-genomics.

The shift of post-genomics towards a systems approach has offered an ever-increasing role for artificial intelligence (AI) and robotics. Many disciplines (e.g. engineering, robotics, computer science) bear on the problem of automating the different stages involved in post-genomic research with a view to developing quality assured high-dimensional data. We review some of the latest contributions of AI and robotics to this end and note the limitations arising from the current independent, exploratory way in which specific solutions are being presented for specific problems without regard to how these could be eventually integrated into one comprehensible integrated intelligent system.

Artificial Intelligence↗
PubMed2001

Generation of an intelligent medical system, using a real database, to diagnose bacterial infection in hospitalized patients.

The initial diagnosis of bacterial infections in the absence of laboratory microbiological data requires physicians to use clinical algorithms based on symptoms, patient history and infection site. Optimization of such algorithms would be achieved by including as many variables associated with bacterial infection as possible. Demographic data are easily available and frequently used to sub-group human populations. A prospective investigation was, therefore, undertaken to examine the influence of demographic variables on bacterial infection rates, using data obtained from 173 patients presenting to Albert Einstein Medical Center. Data was randomly selected from 149 of these patients and used to generate fuzzy rules to model an intelligent medical system. To test the accuracy of this system at determining bacterial infection, based solely on demographic data, the program was given the remaining 24 patients' information. All 18 patients with either streptococcal, staphylococcal or Escherichia coli infections were correctly diagnosed. Non-E.coli GNR were misdiagnosed as E. coli infections in two patients resulting in an overall prediction rate for the 24 patients of 91.66%. This study suggests that the direct correlation of demographic variables with a predisposition to bacterial infection allow the design of an intelligent medical system, which shows great future potential as a diagnostic tool for all physicians.

Adult↗
PubMed2001

Deletion of 8p: a report of a child with normal intelligence.

The case is presented of a female infant with a distal deletion of 8p (8p23.1-->pter) whose development was monitored over a 5-year period from 12 months of age. Although previous literature has suggested that 8p deletion is associated with mild to moderate intellectual disability, the child reported here has normal intelligence. Despite initial delays in gross motor and language skills, cognitive development (assessed with the Bayley Scales of Infant Development) and intellectual ability (measured on the Stanford-Binet Intelligence Scale) were within average range. It is argued that the small number of previous case reports may have created a misleading impression of intellectual development in individuals with distal deletions of 8p.

Child↗
PubMed2002

Intelligence in preterm children at four years of age as a predictor of school function: a longitudinal controlled study.

The aim of the study was to examine whether school performance was reduced in children with very-low birthweight beyond what could be explained by the deficit in intelligence-score at 4 years of age. Participants (n=333) examined at 4 years of age included three subgroups on the basis of birthweight: very-low birthweight (VLBW < 1501 g; n=102), low birthweight (LBW 1500-2300 g; n=139), and normal birthweight (NBW > or = 2500 g; n=92). The general cognitive index index (CGI) from the McCarthy Scales of Children's Abilities was used as an intelligence measurement at this assessment. At 18 to 20 years of age a telephone interview concerning school performance was conducted. Two hundred and fifty-seven participants (53% male, 47% female) entered the analysis. A model with School Performance score after the last year of compulsory school as the outcome variable, and McCarthy GCI and birthweight group as predicting variables, was used in linear regression analyses. Twenty-four per cent of the variance was explained. Birthweight had no influence in this model. In conclusion, the study did not find that birthweight influenced school performance beyond that represented by the McCarthy GCI found at age 4 years.

Adolescent↗
PubMed2004

On a practitioner's need of further development of Wechsler scales. Adaptive Intelligence Diagnosticum (AID 2).

Wechsler's intelligence test-batteries are still popular yet suffer from psychometric shortcomings and lack a certain content improvement and enlargement. In this paper a new approach will be presented that suits traditional Wechsler-testing. The approach in question is the Adaptive Intelligence Diagnosticum (AID 2; Kubinger & Wurst, 2000). Due to it's "branched testing" design, AID 2 works out to be more economical and in this regard also offers other advantages, such as parallel tests and short forms. AID 2 offers a method of survey for identifying specific developmental disorders or learning disabilities. It includes an optional non-verbal instruction and a schedule for retrograde observation support of behavioral misfits. It also offers discriminative indicators for intellectual neglect vs. intellectual advancement.

Child↗
PubMed2005

Estimating one's own and one's relatives' multiple intelligence: a study from Argentina.

Participants from Argentina (N = 217) estimated their own, their partner's, their parents' and their grandparents' overall and multiple intelligences. The Argentinean data showed that men gave higher overall estimates than women (M = 110.4 vs. 105.1) as well as higher estimates on mathematical and spatial intelligence. Participants thought themselves slightly less bright than their fathers (2 IQ points) but brighter than their mothers (6 points), their grandfathers (8 points), but especially their grandmothers (11 points). Regressions showed that participants thought verbal and mathematical IQ to be the best predictors of overall IQ. Results were broadly in agreement with other studies in the area. A comparison was also made with British data using the same questionnaire. British participants tended to give significantly higher self-estimates than for relatives, though the pattern was generally similar. Results are discussed in terms of the studies in the field.

Adolescent↗
PubMed2001

An intelligent tele-healthcare environment offering person-centric and wellness-maintenance services.

Worldwide healthcare delivery trends are undergoing a subtle paradigm shift--patient centered services as opposed to provider centered services and wellness maintenance as opposed to illness management. In this paper we present a Tele-Healthcare project TIDE--Tele-Healthcare Information and Diagnostic Environment. TIDE manifests an 'intelligent' healthcare environment that aims to ensure lifelong coverage of person-specific health maintenance decision-support services--i.e., both wellness maintenance and illness management services--ubiquitously available via the Internet/WWW. Taking on an all-encompassing health maintenance role--spanning from wellness to illness issues--the functionality of TIDE involves the generation and delivery of (a) Personalized, Pro-active, Persistent, Perpetual, and Present wellness maintenance services, and (b) remote diagnostic services for managing noncritical illnesses. Technically, TIDE is an amalgamation of diverse computer technologies--Artificial Intelligence, Internet, Multimedia, Databases, and Medical Informatics--to implement a sophisticated healthcare delivery infostructure.

Artificial Intelligence↗
PubMed2004

Intelligent self-tuning of PID control for the robotic testing system for human musculoskeletal joints test.

In this paper, an intelligent proportional-integral-derivative (PID) control method is introduced to the robotic testing system for the biomechanical study of human musculoskeletal joints. For the testing system, the robot is a highly nonlinear and heavily coupled complicated system, and the human spinal specimen also demonstrates nonlinear property when undergoing testing. Although the conventional PID control approach is extensively used in most industrial control systems, it will break down for nonlinear systems, particularly for complicated systems that have no precise mathematical models. To overcome those difficulties, an intelligent fuzzy PID controller is proposed replacing the widely used conventional PID controllers. The fuzzy PID algorithm is outlined using the fuzzy set theory. The design techniques are developed based on the linguistic phase plane approach. The heuristic rules of syntheses are summarized into a rule-based expert system. Experiments are carried out and the results demonstrate the good performance of the robotic testing system using the proposed control method.

Algorithms↗
PubMed2001

[Does intelligence make a difference? Spelling and phonological readiness in specific and nonspecific reading/spelling disabilities].

OBJECTIVES: In an investigation involving, 1800 second-to-fourth graders, the children were divided into three groups according to their reading and spelling achievement and the results of a nonverbal intelligence test: children with average achievement in oral reading and spelling, and those with poor achievements in both which were either discrepant or non-discrepant to their good-to-average scores on the intelligence test. METHODS: Results for all three groups on a number of spelling tests were compiled to assess two component spelling skills: phonological recoding and application of orthographical knowledge. RESULTS: Children with either specific or nonspecific reading and spelling disabilities performed at the same level of phonological recoding, while both groups were worse than younger children of average ability at the same spelling level. Children with IQ-discrepant reading and spelling disabilities hat, on the other hand, a certain advantage over children with the same number of difficulties in spelling but a lower IQ on tasks requiring a knowledge of orthography. Though particularly evident in the lower grades, this advantage declined with advancing grade level. Additional comparison of the three groups in tests of phonological awareness and other phonological skills revealed a similar pattern of great differences between the two groups of poor readers and spellers and the average children, but slight non-significant differences between children with IQ-discrepant and non-discrepant reading and spelling disabilities.

Age Factors↗
PubMed1997

Sex differences in intelligence. Implications for education.

Sex differences in intelligence is among the most politically volatile topics in contemporary psychology. Although no single finding has unanimous support, conclusions from multiple studies suggest that females, on average, score higher on tasks that require rapid access to and use of phonological and semantic information in long-term memory, production and comprehension of complex prose, fine motor skills, and perceptual speed. Males, on average, score higher on tasks that require transformations in visual-spatial working memory, motor skills involved in aiming, spatiotemporal responding, and fluid reasoning, especially in abstract mathematical and scientific domains. Males, however, are also over-represented in the low-ability end of several distributions, including mental retardation, attention disorders, dyslexia, stuttering, and delayed speech. A psychobiosocial model that is based on the inextricable links between the biological bases of intelligence and environmental events is proposed as an alternative to nature-nurture dichotomies. Societal implications and applications to teaching and learning are suggested.

Adolescent↗