Do as AI say: susceptibility in deployment of clinical decision-aids

S Gaube, H Suresh, M Raue, A Merritt… - NPJ digital …, 2021 - nature.com
… We define clinical susceptibility as the propensity to follow incorrect advice, and we find that
41.73% of IM/EM physicians are susceptible, ie, they always give the wrong diagnosis with …

[HTML][HTML] 5.2 Factors affecting confidence in artificial intelligence (AI) during clinical reasoning and decision making (CRDM)

M Close - digital-transformation.hee.nhs.uk
deployed alongside human graders rather than to replace human graders. The reluctance
to develop and deploy fully autonomous AI … has an associated sensitivity and specificity), AI

Impact of explainable artificial intelligence assistance on clinical decision-making of novice dental clinicians

A Glick, M Clayton, N Angelov, J Chang - JAMIA open, 2022 - academic.oup.com
Artificial intelligence (AI) is increasingly being used in the healthcare field to provide clinicians
with evidence-based decision aids. In … Diagnostic sensitivity can even decrease among …

[HTML][HTML] Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of …

J Dingel, AK Kleine, J Cecil, AL Sigl, E Lermer… - Journal of medical …, 2024 - jmir.org
deployment of AI-CDSSs is the variability in performance. This can occur when the data used
to develop the AI models do … and their opinions are more susceptible to social influence [22]…

… lead to Rome and the Artificial Intelligence only shows me one road”: an interview study on physician attitudes regarding the implementation of computerised clinical …

D Van Cauwenberge, W Van Biesen… - BMC Medical …, 2022 - Springer
… I find it strange that it does not tell us why it is promoting a … of AI that do not have anything
to do with the division of clinical … regarding the division of clinical labour that we identified in …

Equity, autonomy, and the ethical risks and opportunities of generalist medical AI

R Sass - AI and Ethics, 2023 - Springer
… human labor before being deployed, such as labeling by … That is not to say that GMAI-based
decision aids do not present … As with medical decision aids, the use of GMAI will present …

[HTML][HTML] 5.3 Cognitive biases and appropriate confidence in artificial intelligence (AI)-assisted clinical reasoning and decision making (CRDM)

M Close - digital-transformation.hee.nhs.uk
clinicians are susceptible to when using AI-… how clinical settings, choices in workflow
integration and how AI presents information can influence how these biases can adversely affect AI-…

Quantifying the impact of AI recommendations with explanations on prescription decision making

M Nagendran, P Festor, M Komorowski… - NPJ Digital …, 2023 - nature.com
… how we can improve the design and deployment of AI-based medical decision support tools.
Attempts to quantitatively evaluate AI recommendations in general (non-clinical) problems …

Measurements, algorithms, and presentations of reality: Framing interactions with AI-enabled decision support

N Van Berkel, M Bellio, MB Skov… - ACM Transactions on …, 2023 - dl.acm.org
deploying AIdid not affect clinicians’ performance, clinicians with high expertise (ie,
radiologists) rated the quality of advice significantly lower when it was said to originate from an AI

Systematic AI support for decision-making in the healthcare sector: Obstacles and success factors

M Bertl, P Ross, D Draheim - Health Policy and Technology, 2023 - Elsevier
deployed in multi-institutional setups complicate fast feedback with high accuracy. Therefore,
systems like EBMeDS are usually deployed … As long as we don't speak about general AI, …