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Biomedical subjects

R Felciano

Publications and source records attributed to R Felciano.

4 recordsLinked to original sources

RIBOWEB: linking structural computations to a knowledge base of published experimental data.

The world wide web (WWW) has become critical for storing and disseminating biological data. It offers an additional opportunity, however, to support distributed computation and sharing of results. Currently, computational analysis tools are often separated from the data in a manner that makes iterative hypothesis testing cumbersome. We hypothesize that the cycle of scientific reasoning (using data to build models, and evaluating models in light of data) can be facilitated with resources that link computations with semantic models of the data. Riboweb is an on-line knowledge-based resource that supports the creation of three-dimensional models of the 30S ribosomal subunit. It has three components: (I) a knowledge base containing representations of the essential physical components and published structural data, (II) computational modules that use the knowledge base to build or analyze structural models, and (III) a web-based user interface that supports multiple users, sessions and computations. We have built a prototype of Riboweb, and have used it to refine a rough model of the central domain of the 30S subunit from E. coli. procedure. Our results suggest that sophisticated and integrated computational capabilities can be delivered to biologists using this simple three-component architecture.

Artificial Intelligence↗

Initial validation of a test of spatial knowledge in anatomy.

The authors have developed HERCULES, a computer-based test designed to assess the spatial, non-verbal components of knowledge in anatomy. The test consists of two tasks, each requiring subjects to estimate the vertical level in the body of a set of color, cross-sectional images. In Task 1, subjects make the estimate based on a limited number of clues, where each clue is an anatomical structure that appears in the cross-section. In Task 2, subjects estimate the level based on a view of the cross-section with all structures shown. A validation study of this test using six images for each task was performed with preclinical medical students, fourth year medical students, and experienced teachers of anatomy as subjects. Results indicate that the exercise is at an appropriate level of difficulty and that a somewhat longer test than used in this study would be adequately reliable for use in actual assessment. The test appears to discriminate the expert faculty from more novice students and thus exhibits an aspect of validity that is very important in assessment exercises of this type.

Anatomy↗

Real problems: a layered approach to constructing a patient simulation.

We propose and have implemented a program, called "Real Problems", for the authoring of simulated patient encounters. This program uses a layered database approach to separate the unchanging sections of the program from the more patient-specific sections, so as to increase the speed of authoring. The user's interest is maintained through the use of graphics, sound and extensive feedback.

Computer Graphics↗

Testing spatial understanding of anatomy.

A system was designed to test the medical student's ability to recognize and locate anatomical cross-sections. The computer was used to prepare the data, present the test and track the user's responses. The nature of the test was such that it could be prepared, presented and used much more easily on the computer than on paper. The system was used successfully by anatomists and medical students.

Anatomy↗