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Record W2109015256 · doi:10.1109/iembs.2006.260914

Legal and ethical issues in the regulation and development of engineering achievements in medical technology: A 2006 perspective

2006· article· en· W2109015256 on OpenAlexaff
Allison M. W. Malloy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicQuality and Safety in Healthcare
Canadian institutionsCarleton University
Fundersnot available
KeywordsEngineering ethicsFood and drug administrationProcess (computing)Perspective (graphical)Ethical issuesDrug developmentHealth technologyEngineeringEngineering managementMedicineHealth careBusinessPolitical scienceComputer scienceRisk analysis (engineering)LawDrugPharmacology

Abstract

fetched live from OpenAlex

Two papers, Legal and Ethical Issues in the Regulation and Development of Engineering Achievements in Medical Technology parts I and II were written in 1990 by three authors of diverse backgrounds and published in the IEEE Engineering in Medicine and Biology Magazine in March of the same year. Part I of the paper discusses the existing Food and Drug Administration (FDA) requirements that existed in 1990 to regulate the clinical trial process for medical devices, obtaining Marketing Approval and exceptions that may allow the use of unapproved devices. The paper discusses how the FDA has loosened some of the stringent regulations to further its goal of encouraging new development while protecting public health and maintaining ethical standards. Part H of the paper focuses on the ethical implications of the process of introducing a new technology to the market place, specifically in the usage of unapproved technologies for emergency use and feasibility studies. This paper discusses the topics covered in the two papers and the changes that have been made to the FDA guidelines since their publication in 1990.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.433
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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