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John A. Kaufman

dblp:314/5206 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 50% Learning and educational technologies · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
medical simulation
0.011998
The imperative for medical simulation · Proc. IEEE 1998
Medical and health informatics › medical simulation
surgical simulation
0.011998
The imperative for medical simulation · Proc. IEEE 1998
Learning and educational technologies › skill training
computer training
0.011998
The imperative for medical simulation · Proc. IEEE 1998
Haptics and multimodal interaction
haptic interface
0.011998
The imperative for medical simulation · Proc. IEEE 1998

Methods — techniques the papers use, named apart from their topics

real-time graphics · 0.0haptic rendering · 0.0
YearPublicationVenuePosition
1998 The imperative for medical simulation
abstract
The practice of medicine has, for millennia, relied upon a master-apprentice system of learning, with patients providing the necessary anatomy from which one learns how to perform surgery and other procedures. The advent of high-power computing and real-time graphics representations allows medicine to advance beyond this traditional methods of teaching and to begin to educate physicians without putting patients at risk. With innovative haptics interface devices, computer-based training will enable novice physicians to learn procedures that have been developed since their training was completed. Specialty boards and credentialing organizations will, for the first, time, have metrics upon which to base the decisions regarding who is qualified to practice medicine, and both sides of the learning curve, the acquisition of skills and their deterioration, will be discovered. The paper presents the concepts, challenges, and visions of the authors, both of whom have been actively developing simulation for the specialty of interventional radiology. It includes expectations for the future of simulation in other procedural specialties.
Stephen L. Dawson, John A. Kaufman
Proc. IEEE2