A sco** review of robustness concepts for machine learning in healthcare
A Balendran, C Beji, F Bouvier, O Khalifa… - npj Digital …, 2025 - nature.com
While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI)
solutions—have demonstrated comparable or superior performance to human experts …
solutions—have demonstrated comparable or superior performance to human experts …
ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical …
AI tools in radiology are revolutionising the diagnosis, evaluation, and management of
patients. However, there is a major gap between the large number of developed AI tools and …
patients. However, there is a major gap between the large number of developed AI tools and …
An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI
The deployment of artificial intel-ligence (AI)-powered prediction models in healthcare can
lead to ethical concerns about their implementation and upscaling. For example, AI …
lead to ethical concerns about their implementation and upscaling. For example, AI …
Clinical, cultural, computational, and regulatory considerations to deploy AI in radiology: perspectives of RSNA and MICCAI experts
The Radiological Society of North of America (RSNA) and the Medical Image Computing
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study
J Zhong, Y ** Review
Background Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health
care records) has been identified as a potentially promising technical paradigm for the …
care records) has been identified as a potentially promising technical paradigm for the …
A deep learning solution to detect left ventricular structural abnormalities with chest X-rays: towards trustworthy AI in cardiology
K Lekadir - European Heart Journal, 2024 - academic.oup.com
deep learning solution to detect left ventricular structural abnormalities with chest X-rays:
towards trustworthy AI in cardiology | European Heart Journal | Oxford Academic Skip to Main …
towards trustworthy AI in cardiology | European Heart Journal | Oxford Academic Skip to Main …
[HTML][HTML] Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
Purpose This review provides an overview of the current state of artificial intelligence (AI)
technology for automated detection of breast cancer in digital mammography (DM) and …
technology for automated detection of breast cancer in digital mammography (DM) and …
Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives
MT Maris, A Koçar, DL Willems, J Pols, HL Tan… - BMC medical …, 2024 - Springer
Background The emergence of artificial intelligence (AI) in medicine has prompted the
development of numerous ethical guidelines, while the involvement of patients in the …
development of numerous ethical guidelines, while the involvement of patients in the …
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Applying Artificial Intelligence (AI) and Machine Learning (ML) in critical contexts, such as
medicine, requires the implementation of safety measures to reduce risks of harm in case of …
medicine, requires the implementation of safety measures to reduce risks of harm in case of …