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Mashup Score: 0Immortal Time Bias: the hidden confounder in assessing cardiosurgical treatment effects - 12 month(s) ago
Immortal time bias applies to clinical evaluations of surgical therapies in which patients waiting for surgery are exposed to a relevant risk of mortality (or e
Source: OUP AcademicCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0Femtech is transforming women's healthcare. But it must include everyone - 12 month(s) ago
The revolution in healthcare tech must ensure it doesn’t bypass Black, Indigenous and other women of colour, who already face significant medical prejudice.
Source: World Economic ForumCategories: Healthcare Professionals, Latest HeadlinesTweet-
#Opinion #Femtech is transforming #womenshealth #healthcare. But it must include everyone | #bias #racialbias #healthequity @wef https://t.co/srv4XyxJlI
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Mashup Score: 0Breast radiologists impacted by automation bias when using AI - 1 year(s) ago
No matter the experience level, radiologists are prone to automation bias when reading mammograms while being supported by artificial intelligence (AI)-based software, suggest findings published May 2 in Radiology.
Source: AuntMinnie.comCategories: Healthcare Professionals, Latest HeadlinesTweet-
Breast #radiologists impacted by #automation #bias when using #AI | #radiology #breastcancer https://t.co/qfKbQmYW8s
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Mashup Score: 02023 Annual Meeting | H66 - Leveraging Inclusion to Mitigate Bias in Challenging Times (Leadership University) - 1 year(s) ago
Log In OR Not a member? Continue as a nonmember. Become a Member By becoming a member of the AAN, you can receive exclusive information to help you at every stage of your career. Benefits include: Online education resources at no additional cost Discounts on…
Source: www.aan.comCategories: Latest Headlines, NeurologyTweet-
During this discussion, panelists will share personal stories and share how #bias can impact judgments and decision-making in the medical field, particularly during challenging times. Join us in person or online at #AANAM by 12:00 p.m. https://t.co/7K7fgjkkyL #AANleadership https://t.co/mKH4nxmndD
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Mashup Score: 3
Randomized controlled trials (RCTs) are considered the gold standard for assessing the safety and efficacy of medical interventions. Inconsistencies between the prespecified protocol and trial publication can reduce the internal validity of trials. In this study, we sought to assess the prevalence and characteristics of heart failure RCTs that report outcomes different from those prespecified. Of…
Source: Journal of Cardiac FailureCategories: Cardiologists, Latest HeadlinesTweet-
Can you guess the % of HF #RCTs in top journals that report #outcomes (including primary) inconsistently relative to analytic plans? Why does it matter? Check out this 📄 led by @TariqJamalSidd1 @ShahzebKhanMD et al #TrialReporting #Bias https://t.co/1T87o6jrt1
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Mashup Score: 0Why you should care about implicit bias as an allergist-immunologist and ways we can address it - 1 year(s) ago
Article infoPublication historyAccepted: March 12, 2023Received in revised form: February 6, 2023Received: August 16, 2022Publication stageIn Press Journal Pre-ProofFootnotesDisclosures: Dr. Brar is an investigator for Incyte, Galderma, and Siolta; and has served on an advisory board for Incyte. Dr. Louisias received support…
Categories: Allergy-Immunology, Latest HeadlinesTweet-
In Press! Why you should care about #implicit #bias as an #allergist- #immunologist and ways we can address it https://t.co/VEgiTwoPyM
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Mashup Score: 0Bias, Bigotry, Racism, and Mental Health Disparities Collection: Journal of the American Academy of Child & Adolescent Psychiatry - 1 year(s) ago
Applying an Antiracist Approach to Promoting Health Equity and Psychological Well-Being in Unaccompanied Immigrant MinorsUnaccompanied immigrant minors (UIMs) are a fast-growing demographic in the United States, doubling in population since 2014.1 According to the Office of Refugee Resettlement, a UIM is someone under the age of 18 years who enters the United States without lawful status and an…
Source: www.jaacap.orgCategories: Latest Headlines, PsychiatryTweet-
#JAACAP Collection: Published articles on #bias, #bigotry, #racism, and #mentalhealth disparities. As you read through these articles, we hope the #antiracist framework that the Journal will use moving forward is clear. #antiracism https://t.co/vEzC1QglHQ https://t.co/8eYpe6n6e4
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Mashup Score: 1Algorithmic encoding of protected characteristics in chest X-ray disease detection models - 1 year(s) ago
Subgroup analysis is key for identifying performance disparities of AI models, but statistical differences across subgroups need to be taken into account when analyzing potential biases in disease detection. The proposed methodology provides a comprehensive framework for subgroup analysis enabling further research into the underlying causes of disparities.
Source: EBioMedicineCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Editor pick from March issue @GlockerBen & coll shed some light on how dataset biases manifest in predictive models by exploring methodology for subgroup analysis in image-based disease detection models. Read https://t.co/24UbBYmPna #bias #disparities #fairness https://t.co/BU32uJALrI
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Mashup Score: 2Patients Have AI-Disconnect When it Comes to Their Health Care - Pew Research Center Insights - HealthPopuli.com - 1 year(s) ago
Most U.S. health citizens think AI is being adopted in American health care too quickly, feeling “significant discomfort…with the idea of AI being used in their own health care,” according to consumer studies from the Pew Research Center. The top-line is that 60% of Americans would be uncomfortable with [their health] provider relying on AI in their own care, found in a consumer…
Source: HealthPopuli.comCategories: Healthcare Professionals, Latest HeadlinesTweet-
A patient disconnect for using #AI in their #healthcare via @pewresearch 3 in 4 consumers think #medicalcare moving too fast adopting #AIhealth https://t.co/Qb5M8QlH8M Few see benefits for improving outcomes (yet) w risks to #healthequity & #bias #digitalhealth @NuanceInc https://t.co/FQ1Vs86Bdd
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Mashup Score: 2Large language models are biased. Can logic help save them? - 1 year(s) ago
MIT CSAIL researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases using textual-entailment models.
Categories: Cardiologists, Latest HeadlinesTweet-
RT @brendantierney: Large language models are biased. Can logic help save them? #AIEthics #LLMs #bias https://t.co/1D1Js4yHKP
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Immortal Time Bias: the hidden confounder in assessing cardiosurgical treatment effects. Read more in #EHJ: https://t.co/IEP35lYc7o #surgery #bias #outcome #mortality #cardiotwitter @escardio @ESC_Journals https://t.co/LupeiuNJJT