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Mashup Score: 2Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact - 14 day(s) ago
Author summary The field of machine learning has made significant technical advancements over the past several years, but the impact of this technology on healthcare practice has remained limited. We identify issues in the structure of the field of machine learning for healthcare which incentivise work that is scientifically novel over work that ultimately impacts patients. Among others, these issues include a lack of diversity in available data, an emphasis on targets which are easy to measure but may not be clinically important, and limited funding for work focused on deployment. We offer a series of suggestions about how best to address these issues, and advocate for a distinction to be made between “machine research performed ON healthcare data” and true “machine FOR healthcare”. The latter, we argue, requires starting from the very beginning with a focus on the impact that a model will have on patients. We conclude with discussion of “impact challenges”—specific and measurable goa
Source: journals.plos.orgCategories: General Medicine News, Critical CareTweet
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Mashup Score: 3CHIL 2024: Submit your paper by Friday, 16 February - 3 month(s) ago
The 2024 Conference on Health, Inference, and Learning (CHIL) invites submissions focused on artificial intelligence and machine learning (AI/ML) techniques that address challenges in health, which includes clinical healthcare, public health, health economics, informatics, and more. For full details, refer to the online Call for Papers: https://www.chilconference.org/call-for-papers.html This year, CHIL 2024 will accept submissions for three distinct tracks: Models and Methods, Applications and Practice,
Source: physionet.orgCategories: General Medicine News, Critical CareTweet
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Mashup Score: 2Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis - 6 month(s) ago
Alarm fatigue in nurses is a major patient safety concern in the intensive care unit. This is caused by exposure to high rates of false and non-action…
Source: www.sciencedirect.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 1Equity in Scientific Publishing: Can Artificial Intelligence Transform the Peer Review Process? - 6 month(s) ago
Author links open overlay panel Cameron John Sabet MA a, Simar S. Bajaj b, Fatima Cody Stanford MD, MPH, MPA, MBA c, Leo Anthony Celi MD, MPH, MSc
Source: www.sciencedirect.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 0
Background The generalizability of the Surviving Sepsis Campaign (SSC) guidelines to various patient populations and hospital settings has been debated. A quantitative assessment of the diversity and representation in the clinical evidence supporting the guidelines would help evaluate the generalizability of the recommendations and identify strategic research goals and priorities. In this study, we evaluated the diversity of patients in the original studies, in terms of sex, race/ethnicity, and geographical location. We also assessed diversity in sex and geographical representation among study first and last authors. Methods All clinical studies cited in support of the 2021 SSC adult guideline recommendations were identified. Original clinical studies were included, while editorials, reviews, non-clinical studies, and meta-analyses were excluded. For eligible studies, we recorded the proportion of male patients, percentage of each represented racial/ethnic subgroup (when available), an
Source: bmcinfectdis.biomedcentral.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 2Digital Determinants of Health - PLOS Digital Health - Speaking of Medicine and Health - 7 month(s) ago
The first PLOS Digital Health collection covering concepts in digital literacy, technological accessibility, algorithm bias, and more.
Source: speakingofmedicine.plos.orgCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 0Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only - 10 month(s) ago
Introduction In January, the National Institutes of Health (NIH) implemented a Data Management and Sharing Policy aiming to leverage data collected during NIH-funded research. The COVID-19 pandemic illustrated that this practice is equally vital for augmenting patient research. In addition, data sharing acts as a necessary safeguard against the introduction of analytical biases. While the…
Source: BMJ Health & Care InformaticsCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 0Equity should be fundamental to the emergence of innovation - 1 year(s) ago
The ability of artificial intelligence to perpetuate bias at scale is increasingly recognized. Recently, proposals for implementing regulation that safeguards such discrimination have come under pressure due to the potential of such restrictions stifling innovation within the field. In this formal comment, we highlight the potential dangers of such views and explore key examples that define this…
Source: journals.plos.orgCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 1Critical Bias in Critical Care Devices - 1 year(s) ago
Author links open overlay panel, , , , , , , , , , , , ,
Source: www.sciencedirect.comCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 0Hack Aotearoa | - 1 year(s) ago
Naumai haeremai Welcome to our third Hack Aotearoa AI in Healthcare Conference and Datathon event being held in partnership with MIT Critical Data and hosted by the Faculty of Medical Health Science at the University of Auckland, and the Division of Health Sciences at Otago University. Hack Aotearoa 2023 will be held at the Pullman Hotel on Friday, March 17th and the datathon event on Saturday,…
Source: www.hackaotearoa.nzCategories: Critical Care, Latest HeadlinesTweet
We cannot hold onto "proven ineffective" methods of innovation. As long as the "publish or perish" culture exists, we only create innovation that matter to those who can afford them. It is clear that "publish or perish" leads to "patients will perish". https://t.co/QW43ceCy3M