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At least 1,189 records · Page 66Linked to original sources

Speech intelligibility of deaf speakers and distinctive feature usage.

Speech samples (41 CNC monosyllables) of 22 deaf children were analyzed using two distinctive-feature systems, one acoustic and one physiologic. Moderate to high correlations between intelligibility scores by listener judges vs correct feature usage were obtained for positive as well as negative features of both systems. Further, higher correlations between percent-correct feature usage scores vs listener intelligibility scores were observed for phonemes in the initial vs final position-in-work regardless of listener-judge experience, feature system, or presentation mode. These findings suggest that either acoustic or physiologic feature analysis can be employed in describing the articulation of deaf talkers. In general, either of these feature systems also predicts with fair to good accuracy the intelligibility of deaf speakers as judged by either experienced or inexperienced listeners. In view of the appreciably higher correlations obtained between feature use and intelligibility scores in initial compared to final position-in-word, however, caution should be exercised with either of the feature systems studied in predicting the intelligibility of a deaf speaker's final phoneme.

Adolescent↗

AI-guided parameter optimization in inverse treatment planning.

An artificial intelligence (AI)-guided inverse planning system was developed to optimize the combination of parameters in the objective function for intensity-modulated radiation therapy (IMRT). In this system, the empirical knowledge of inverse planning was formulated with fuzzy if-then rules, which then guide the parameter modification based on the on-line calculated dose. Three kinds of parameters (weighting factor, dose specification, and dose prescription) were automatically modified using the fuzzy inference system (FIS). The performance of the AI-guided inverse planning system (AIGIPS) was examined using the simulated and clinical examples. Preliminary results indicate that the expected dose distribution was automatically achieved using the AI-guided inverse planning system, with the complicated compromising between different parameters accomplished by the fuzzy inference technique. The AIGIPS provides a highly promising method to replace the current trial-and-error approach.

Algorithms↗

A comparison of the WAIS and WAIS-R using T-score conversions that correct for age, education, and sex.

A newly developed T score conversion system that corrects Wechsler Adult Intelligence Scale (WAIS) and Wechsler Adult Intelligence Scale-Revised (WAIS-R) subtest and IQ scores for appropriate demographic variables was used to compare subjects' performance on the two versions of the instrument. Using 428 pairs of subjects matched on age, education, and sex, with one person in each pair having taken the WAIS and the other the WAIS-R, we found no significant differences in level or pattern of performance when analyses were performed on the T scores. This was in contrast to highly significant differences when uncorrected scaled scores and IQ values were compared. Therefore, the T score system appears to provide a tool which may help clinicians make more direct comparisons between the results obtained on the WAIS and WAIS-R.

Adult↗

The long term effects of chemotherapy on the central nervous system.

Cranial radiotherapy is known to have adverse effects on intelligence. A new study shows that chemotherapy is also toxic to the central nervous system, especially to neural progenitor cells and oligodendrocytes. By identifying the cell populations at risk, these results may help explain the neurological problems previously seen after chemotherapy.

Animals↗

Transforming XML-based electronic patient records for use in medical case based reasoning systems.

Electronic patient records (EPR) can be regarded as an implicit source of clinical behaviour and problem-solving knowledge, systematically compiled by clinicians. We present an approach, together with its computational implementation, to pro-actively transform XML-based EPR into specialised Clinical Cases (CC) in the realm of Medical Case Base Systems. The 'correct' transformation of EPR to CC involves structural, terminological and conceptual standardisation, which is achieved by a confluence of techniques and resources, such as XML, UMLS (meta-thesaurus) and medical knowledge ontologies. We present below the functional architecture of a Medical Case-Base Reasoning Info-Structure (MCRIS) that features two distinct, yet related, functionalities: (1) a generic medical case-based reasoning system for decision-support activities; and (2) an EPR-CC transformation system to transform typical EPR's to CC.

Artificial Intelligence↗

Tacit knowledge--an epistemological framework and implications for research in doctors information needs.

We propose an epistemological framework of medical knowledge which might guide research and attempts in fulfilling doctors information needs. Tacit knowledge is influencing information needs and medical work but it is epistemological unresolved whether it is possible to articulate all this tacit knowledge and thus making it accessible to decision support system programming. Tacit knowledge might explain the difficulties in building successful decision support systems and should be taken into account in research.

Artificial Intelligence↗

Human factor observations of the Biosphere 2, 1991-1993, closed life support human experiment and its application to a long-term manned mission to Mars.

Human factors are a key component to the success of long-term space missions such as those necessitated by the human exploration of Mars and the development of bioregenerative and eventually self-sufficient life support systems for permanent space outposts. Observations by participants living inside the 1991-1993 Biosphere 2 closed system experiment provide the following insights. (1) Crew members should be involved in the design and construction of their life support systems to gain maximum knowledge about the systems. (2) Individuals living in closed life support systems should expect a process of physiological and psychological adaptation to their new environment. (3) Far from simply being a workplace, the participants in such extended missions will discover the importance of creating a cohesive and satisfying life style. (4) The crew will be dependent on the use of varied crops to create satisfying cuisine, a social life with sufficient outlets of expression such as art and music, and to have down-time from purely task-driven work. (5) The success of the Biosphere 2 first 2-year mission suggests that crews with high cultural diversity, high commitment to task, and work democracy principles for individual responsibility may increase the probability of both mission success and personal satisfaction. (6) Remaining challenges are many, including the need for far more comprehensive real-time modeling and information systems (a "cybersphere") operating to provide real-time data necessary for decision-making in a complex life support system. (7) And, the aim will be to create a noosphere, or sphere of intelligence, where the people and their living systems are in sustainable balance.

Adaptation, Psychological↗

Prediction of the carcinogenicity in rodents of chemicals currently being tested by the US National Toxicology Program: structure-activity correlations.

CASE, an artificial intelligence structure-activity relational system, was used to predict the carcinogenicity of a group of chemicals currently being tested in rodent bioassays by the US National Toxicology Program. The 'learning set' for the CASE predictions consisted of the results of previous 252 rodent carcinogenicity bioassays.

Animals↗

Emerging technologies for cancer prevention and other population health challenges.

Emerging technologies, such as information and communication technologies (including future versions of the Internet), microelectromechanical systems, nanotechnologies, genomics, robotics, artificial intelligence, and sensors, provide enormous opportunities for enhancing health and quality of life. Population health technologies (PHTs) encompass the various applications of emerging technologies to improve the health of populations and communities. These technologies may change many population health paradigms, including those related to cancer prevention and control. In the future, emerging technologies will allow true customization of health communication to individuals, and existing tailoring approaches will be considered very crude. Environmental monitoring systems based on emerging technologies could also provide real-time information that health officials and community residents could use immediately to ameliorate potential carcinogenic or unhealthy exposures. Accelerating the application and diffusion of emerging technologies to population health challenges will require a multipronged approach, including new transdisciplinary programs, increased funding, supportive infrastructure, and policy changes.

Communication↗

Automated Speech-recognition Anatomic Pathology (ASAP) reporting.

Artificial intelligence speech-recognizers integrated with Laboratory information and Telefaxcommunication Systems have allowed for totally automated surgical pathology reporting. Automated Speech-Recognition Anatomic Pathology (ASAP) reporting improves the speed, text accuracy, comprehensiveness, and workflow management of diagnostic reports while eliminating support personnel. Healthcare reform goals of increased productivity and economy are furthered. Reports are rendered "as soon as possible" (ASAP) expediting appropriate clinical management and decreased length of stay and hospital costs.

Artificial Intelligence↗

[New developments in hearing aid technology].

The last decade has seen numerous and significant improvements in hearing aid technology. Digital hearing aids are becoming increasingly common and have already replaced a considerable portion of the hearing aids using the older analogue technology. Efficient noise reduction methods, most notably multi-microphone systems for hearing aids, can increase speech intelligibility in adverse listening situations and noisy environments. Accessories, such as e.g. wireless classroom communication systems (FM systems) and remote controls are becoming smaller and less visible. As a consequence of the increased complexity of modern hearing aids, however, hearing aid fitting has become considerably more complex.

Acoustics↗

Development of autonomous control in a closed microbial bioreactor.

Space-based life support systems which include ecological components will rely on sophisticated hardware and software to monitor and control key system parameters. Autonomous closed artificial ecosystems are useful for research in numerous fields. We are developing a bioreactor designed to study both microbe-environment interactions and autonomous control systems. Currently we are investigating N-cycling and N-mass balance in closed microbial systems. The design features of the system involve real-time monitoring of physical parameters (e.g. temperature, light), growth solution composition (e.g. pH, NOx, CO2), cell density and the status of important hardware components. Control of key system parameters is achieved by incorporation of artificial intelligence software tools that permit autonomous decision-making by the instrument. These developments provide a valuable research tool for terrestrial microbial ecology, as well as a testbed for implementation of artificial intelligence concepts. Autonomous instrumentation will be necessary for robust operation of space-based life support systems, and for use on robotic spacecraft. Sample data acquired from the system, important features of software components, and potential applications for terrestrial and space research will be presented.

Artificial Intelligence↗

Rey II: redesigning the Rey screening test of malingering.

This study has redesigned the Rey 15-item Visual Memory Test (1964) by introducing more complex figures and by increasing internal logic and pattern redundancy. Standardized administrative procedures and rules for a simple qualitative scoring system were established. Performance on the original Rey continued to be significantly contaminated by ability components and illness while performance on the Rey II qualitative scoring system was not significantly related to intelligence, age, mental status or memory. The Rey II demonstrated improved face validity. Linear Discriminant Function Analysis indicated that the qualitative scoring system had a higher classification accuracy than the quantitative system on both instruments; the Rey II qualitative scoring system accurately detected 31% more college malingerers than the Rey quantitative and 21% more clinical malingerers than the Rey II quantitative. A malingering cut-off of two qualitative errors gave the Rey II a 79% higher sensitivity in the college malingerers and 29% higher specificity in the clinical population than the standard quantitative Rey cut-off of nine items.

Adolescent↗

GENFILES: a computerized medical genetics information network. I. An overview.

GENFILES is a comprehensive computer information network to serve research, service, and administrative needs in medical genetics. Four major databases contain detailed information generated by the cytogenetics laboratory, the prenatal diagnosis program, the diagnostic and genetic counseling clinics, and the human cell culture facility. Unique aspects are the use of RAMIS, a commercial database management system, and of microprocessor computers as "intelligent" terminals with significant data-handling capabilities. All databases are no-line in a directly accessed large timesharing computer. The system, which has been designed, controlled and maintained by regular genetics staff, is an easy to use, moderate-cost tool well suited for use as a regional clinical genetics information system.

Computers↗

Experimental evaluation of an interactive information processing aid for an emergency poison center.

In the recent literature, many studies have addressed the evaluation of the user interface in interactive systems. However, there are few theoretically based methodologies for this purpose. This study is an attempt to develop a methodology for examining the complex division of information processing labor between user and computer. A special concern was the computer-naive user searching for information using a self-teaching system. Our test bed was an emergency poison information center whose functioning depended on fast, accurate processing of patient and antidote data by a nurse. We augmented the nurses' traditional information support--a manual card file and reference books--with an interactive software system which summarized and suggested inferences from data on past successful treatment of patients. Analysis of recordings of user comments and user-system interactions showed that: (1) the support system should be more robust and have more "reasoning" power; and (2) the users' expressed information needs changed after the new support was introduced. From the results, we abstracted elements of an effective naive user-support system division of labor: (1) the support system should "actively" help the user's error recovery; (2) the system should have a sufficient knowledge base to allow "intelligent" conversation about the problem domain; and (3) the support system should allow the user to reconceptualize his information problem as his environment changes. Our method of recording user-system interactions and verbal protocols was time consuming, but did yield significant insight into the user-system division of labor. Also, considering the poison center as a living system, analysis of processing by the nurse and the traditional, the new, or an envisioned information support system showed that a highly dispersed associator and effective internal transducer promoted the functioning of the entire group.

Information Systems↗

Paper-free flight surgeon's office.

Integration of evolving technology into the flight surgeon's daily practice offers revolutionary opportunities to improve professional effectiveness. The productivity of those involved in the practice of aerospace medicine will be enhanced through the use of information systems, including word processors, communications equipment, graphics displays, and computers. The use of these systems will eliminate "paper work" and add efficiency to the flight surgeon's office environment. The practice of medicine is changing with increasing emphasis on credentialing, activity tracking, incident reporting, and occurrence screening. These quality assurance measures are being followed through data base management. The implications regarding medical records management, productivity indicators, continuing medical education, preventive medicine and direct patient care are great. The ability to communicate electronically leads to potential consultant networks, allowing real-time advice on complex cases regardless of geography. Military physicians should also be mindful of the command, control, communications, and intelligence advantages offered by these systems. Although microcomputers exist in most flight surgeons' offices and new technical applications are planned, integrators and champions are needed.

Aerospace Medicine↗

Intelligent on-line fault tolerant control for unanticipated catastrophic failures.

As dynamic systems become increasingly complex, experience rapidly changing environments, and encounter a greater variety of unexpected component failures, solving the control problems of such systems is a grand challenge for control engineers. Traditional control design techniques are not adequate to cope with these systems, which may suffer from unanticipated dynamic failures. In this research work, we investigate the on-line fault tolerant control problem and propose an intelligent on-line control strategy to handle the desired trajectories tracking problem for systems suffering from various unanticipated catastrophic faults. Through theoretical analysis, the sufficient condition of system stability has been derived and two different on-line control laws have been developed. The approach of the proposed intelligent control strategy is to continuously monitor the system performance and identify what the system's current state is by using a fault detection method based upon our best knowledge of the nominal system and nominal controller. Once a fault is detected, the proposed intelligent controller will adjust its control signal to compensate for the unknown system failure dynamics by using an artificial neural network as an on-line estimator to approximate the unexpected and unknown failure dynamics. The first control law is derived directly from the Lyapunov stability theory, while the second control law is derived based upon the discrete-time sliding mode control technique. Both control laws have been implemented in a variety of failure scenarios to validate the proposed intelligent control scheme. The simulation results, including a three-tank benchmark problem, comply with theoretical analysis and demonstrate a significant improvement in trajectory following performance based upon the proposed intelligent control strategy.

Artificial Intelligence↗