Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a sco** review
AAH de Hond, AM Leeuwenberg, L Hooft… - NPJ digital …, 2022 - nature.com
While the opportunities of ML and AI in healthcare are promising, the growth of complex data-
driven prediction models requires careful quality and applicability assessment before they …
driven prediction models requires careful quality and applicability assessment before they …
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
There is no such thing as a validated prediction model
B Van Calster, EW Steyerberg, L Wynants… - BMC medicine, 2023 - Springer
Background Clinical prediction models should be validated before implementation in clinical
practice. But is favorable performance at internal validation or one external validation …
practice. But is favorable performance at internal validation or one external validation …
Criteria for the translation of radiomics into clinically useful tests
EP Huang, JPB O'Connor, LM McShane… - Nature reviews Clinical …, 2023 - nature.com
Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …
Illusory generalizability of clinical prediction models
AM Chekroud, M Hawrilenko, H Loho, J Bondar… - Science, 2024 - science.org
It is widely hoped that statistical models can improve decision-making related to medical
treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically …
treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically …
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
M Van Smeden, G Heinze, B Van Calster… - European heart …, 2022 - academic.oup.com
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …
based prediction models. With the introduction of such AI-based prediction model tools and …
The importance of being external. methodological insights for the external validation of machine learning models in medicine
F Cabitza, A Campagner, F Soares… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective Medical machine learning (ML) models tend to perform
better on data from the same cohort than on new data, often due to overfitting, or co-variate …
better on data from the same cohort than on new data, often due to overfitting, or co-variate …
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review
MAE Binuya, EG Engelhardt, W Schats… - BMC Medical Research …, 2022 - Springer
Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …
or updated, for instance, with information from new markers. These key steps are needed …
TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
GS Collins, KGM Moons, P Dhiman, RD Riley… - bmj, 2024 - bmj.com
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
DA Jenkins, GP Martin, M Sperrin, RD Riley… - Diagnostic and …, 2021 - Springer
Clinical prediction models (CPMs) have become fundamental for risk stratification across
healthcare. The CPM pipeline (development, validation, deployment, and impact …
healthcare. The CPM pipeline (development, validation, deployment, and impact …