[HTML][HTML] The silent trial-the bridge between bench-to-bedside clinical AI applications
As more artificial intelligence (AI) applications are integrated into healthcare, there is an
urgent need for standardization and quality-control measures to ensure a safe and …
urgent need for standardization and quality-control measures to ensure a safe and …
[HTML][HTML] To warrant clinical adoption AI models require a multi-faceted implementation evaluation
D van de Sande, EFF Chung, J Oosterhoff… - npj Digital …, 2024 - nature.com
Despite artificial intelligence (AI) technology progresses at unprecedented rate, our ability to
translate these advancements into clinical value and adoption at the bedside remains …
translate these advancements into clinical value and adoption at the bedside remains …
[HTML][HTML] Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals
Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing
the implementation challenges of AI/ML in healthcare. However, little is known about how …
the implementation challenges of AI/ML in healthcare. However, little is known about how …
When the model trains you: induced belief revision and its implications on artificial intelligence research and patient care—a case study on predicting obstructive …
Exposure to research data and artificial intelligence (AI) model predictions may lead to many
sources of bias in clinical decision-making and model evaluation. These include anchoring …
sources of bias in clinical decision-making and model evaluation. These include anchoring …
A call for artificial intelligence implementation science centers to evaluate clinical effectiveness
CA Longhurst, K Singh, A Chopra, A Atreja… - NEJM AI, 2024 - ai.nejm.org
Artificial intelligence (AI) holds significant promise for revolutionizing health care by
enhancing diagnosis, treatment, and patients' safety. However, the current disparity between …
enhancing diagnosis, treatment, and patients' safety. However, the current disparity between …
[HTML][HTML] Regulatory oversight and ethical concerns surrounding software as medical device (SaMD) and digital twin technology in healthcare
© Annals of Translational Medicine. All rights reserved. Ann Transl Med 2022; 10 (18): 950|
https://dx. doi. org/10.21037/atm-22-4203 with a modifiable degree of fidelity for a richer …
https://dx. doi. org/10.21037/atm-22-4203 with a modifiable degree of fidelity for a richer …
[HTML][HTML] Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI
JS Marwaha, JC Kvedar - NPJ digital medicine, 2022 - nature.com
Artificial intelligence (AI) has been the subject of considerable interest for many years for its
potential to improve clinical care—yet its actual impact on patient outcomes when deployed …
potential to improve clinical care—yet its actual impact on patient outcomes when deployed …
Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework
AH van der Vegt, IA Scott, K Dermawan… - Journal of the …, 2023 - academic.oup.com
Objective To derive a comprehensive implementation framework for clinical AI models within
hospitals informed by existing AI frameworks and integrated with reporting standards for …
hospitals informed by existing AI frameworks and integrated with reporting standards for …
Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
The potential presented by Artificial Intelligence (AI) for healthcare has long been
recognised by the technical community. More recently, this potential has been recognised by …
recognised by the technical community. More recently, this potential has been recognised by …
Artificial Intelligence Reporting Guidelines' Adherence in Nephrology for Improved Research and Clinical Outcomes
AA Salybekov, M Wolfien, W Hahn, S Hidaka… - Biomedicines, 2024 - mdpi.com
The use of artificial intelligence (AI) in healthcare is transforming a number of medical fields,
including nephrology. The integration of various AI techniques in nephrology facilitates the …
including nephrology. The integration of various AI techniques in nephrology facilitates the …