AI pitfalls and what not to do: mitigating bias in AI

JW Gichoya, K Thomas, LA Celi… - The British Journal of …, 2023 - academic.oup.com
Various forms of artificial intelligence (AI) applications are being deployed and used in many
healthcare systems. As the use of these applications increases, we are learning the failures …

Cell-free DNA as diagnostic and prognostic biomarkers for adult sepsis: a systematic review and meta-analysis

A Charoensappakit, K Sae-Khow, P Rattanaliam… - Scientific Reports, 2023 - nature.com
Although cell-free DNA (cfDNA) is an emerging sepsis biomarker, the use of cfDNA,
especially as diagnostic and prognostic indicators, has surprisingly not been systemically …

[HTML][HTML] AI recognition of patient race in medical imaging: a modelling study

JW Gichoya, I Banerjee, AR Bhimireddy… - The Lancet Digital …, 2022 - thelancet.com
Background Previous studies in medical imaging have shown disparate abilities of artificial
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …

Reading race: AI recognises patient's racial identity in medical images

I Banerjee, AR Bhimireddy, JL Burns, LA Celi… - arxiv preprint arxiv …, 2021 - arxiv.org
Background: In medical imaging, prior studies have demonstrated disparate AI performance
by race, yet there is no known correlation for race on medical imaging that would be obvious …

Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation

X Liu, P Hu, W Yeung, Z Zhang, V Ho, C Liu… - The Lancet Digital …, 2023 - thelancet.com
Background Comorbidity, frailty, and decreased cognitive function lead to a higher risk of
death in elderly patients (more than 65 years of age) during acute medical events. Early and …

Critical bias in critical care devices

ML Charpignon, J Byers, S Cabral… - Critical Care …, 2023 - criticalcare.theclinics.com
Critical care data reflect the most physiologically unstable patients in a hospital. These
patients are heavily monitored and may undergo complex treatment regimens to manage …

The impact of health care algorithms on racial and ethnic disparities: a systematic review

SM Siddique, K Tipton, B Leas, C Jepson… - Annals of Internal …, 2024 - acpjournals.org
Background: There is increasing concern for the potential impact of health care algorithms
on racial and ethnic disparities. Purpose: To examine the evidence on how health care …

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI

AAH de Hond, MM van Buchem… - Journal of the …, 2022 - academic.oup.com
The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI)
field and is especially problematic for healthcare applications. In this article, we expand on …

The glycemic ratio is strongly and independently associated with mortality in the critically ill

G Roberts, JS Krinsley, JC Preiser… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: Interventional studies investigating blood glucose (BG) management in
intensive care units (ICU) have been inconclusive. New insights are needed. We assessed …