AIMC Topic: Personnel Selection
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Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.
The Laryngoscope
Apr 11, 2024
INTRODUCTION: Letters of recommendation (LORs) are a highly influential yet subjective and often enigmatic aspect of the residency application process. This study hypothesizes that LORs do contain valuable insights into applicants and can be used to ...
Using natural language processing to increase prediction and reduce subgroup differences in personnel selection decisions.
The Journal of applied psychology
Oct 19, 2023
The purpose of this research is to demonstrate how using natural language processing (NLP) on narrative application data can improve prediction and reduce racial subgroup differences in scores used for selection decisions compared to mental ability t...
Da Vinci© Skills Simulator™: is an early selection of talented console surgeons possible?
Journal of robotic surgery
Jun 22, 2016
To investigate whether the learning curve of robotic surgery simulator training depends on the probands' characteristics, such as age and prior experience, we conducted a study of six distinct proband groups, using the da Vinci Skills Simulator: expe...
Initial investigation into computer scoring of candidate essays for personnel selection.
The Journal of applied psychology
Apr 14, 2016
[Correction Notice: An Erratum for this article was reported in Vol 101(7) of Journal of Applied Psychology (see record 2016-32115-001). In the article the affiliations for Emily D. Campion and Matthew H. Reider were originally incorrect. All version...
Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.
TheScientificWorldJournal
Sep 30, 2015
Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-...
Increasing the ethnic diversity of senior leadership within the English National Health Service: using an artificial intelligence approach to evaluate inclusive recruitment strategies in hospital settings.
Human resources for health
May 22, 2025
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive workplace, but Black and Minority Ethnic (BME) representation in senior leadership roles remains limited. To address this, a large multi-hospital acute N...
Leveraging big data in health care and public health for AI driven talent development in rural areas.
Frontiers in public health
Jan 1, 2025
INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction and retention strategies in rural public health systems. Motivated by the persistent shortage of skilled professionals in underserved areas and the limi...
Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment.
Family medicine
Jun 1, 2024
Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review.
Academic medicine : journal of the Association of American Medical Colleges
Nov 1, 2021
PURPOSE: Residency programs face overwhelming numbers of residency applications, limiting holistic review. Artificial intelligence techniques have been proposed to address this challenge but have not been created. Here, a multidisciplinary team sough...
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