AIMC Topic: Healthcare Disparities
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Human-Centered Design to Address Biases in Artificial Intelligence.
Journal of medical Internet research
Mar 24, 2023
The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stag...
In defence of the machines: How artificial intelligence may help to improve dermatologic outcomes and diminish barriers and disparities in care.
The Australasian journal of dermatology
Nov 21, 2022
The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.
Journal of medical Internet research
Nov 1, 2022
BACKGROUND: The field of oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing an opportunity to examine the early integration of these technologies in clinical research and patient care. Hope that AI will...
Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 9, 2021
OBJECTIVES: Clinical artificial intelligence (AI) is a novel technology, and few economic evaluations have focused on it to date. Before its wider implementation, it is important to highlight the aspects of AI that challenge traditional health techno...
Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?
BMJ (Clinical research ed.)
Mar 15, 2021
Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue
Can artificial intelligence help create racial equality in the USA?
The Lancet. Digital health
Feb 8, 2021
Deep transfer learning for reducing health care disparities arising from biomedical data inequality.
Nature communications
Oct 12, 2020
As artificial intelligence (AI) is increasingly applied to biomedical research and clinical decisions, developing unbiased AI models that work equally well for all ethnic groups is of crucial importance to health disparity prevention and reduction. H...
Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
Epilepsia
Aug 23, 2019
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whether a natural language processing (NLP) algorithm trained on physician notes would produce biased recommendations for epilepsy presurgical evaluation...
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
AMA journal of ethics
Feb 1, 2019
BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns have been raised about bias in these systems' data, algorithms, and recommendations. Simply put, as health care improves for some, it might not improve ...
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