[HTML][HTML] Evaluation and mitigation of racial bias in clinical machine learning models: scoping review
Background Racial bias is a key concern regarding the development, validation, and
implementation of machine learning (ML) models in clinical settings. Despite the potential of …
implementation of machine learning (ML) models in clinical settings. Despite the potential of …
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Machine learning (ML) methods are proliferating in scientific research. However, the
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
Digital twins for predictive oncology will be a paradigm shift for precision cancer care
T Hernandez-Boussard, P Macklin, EJ Greenspan… - Nature medicine, 2021 - nature.com
To the Editor—In medicine, digital twin models use real-time data to adjust treatment,
monitor response and track lifestyle modifications. Similarly, cancer patient digital twins …
monitor response and track lifestyle modifications. Similarly, cancer patient digital twins …
Biomedical ethical aspects towards the implementation of artificial intelligence in medical education
The increasing use of artificial intelligence (AI) in medicine is associated with new ethical
challenges and responsibilities. However, special considerations and concerns should be …
challenges and responsibilities. However, special considerations and concerns should be …
The AI life cycle: a holistic approach to creating ethical AI for health decisions
MY Ng, S Kapur, KD Blizinsky… - Nature medicine, 2022 - nature.com
The AI life cycle: a holistic approach to creating ethical AI for health decisions | Nature Medicine
Skip to main content Thank you for visiting nature.com. You are using a browser version with …
Skip to main content Thank you for visiting nature.com. You are using a browser version with …
[HTML][HTML] Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare
High-quality research is essential in guiding evidence-based care, and should be reported
in a way that is reproducible, transparent and where appropriate, provide sufficient detail for …
in a way that is reproducible, transparent and where appropriate, provide sufficient detail for …
Assessment of adherence to reporting guidelines by commonly used clinical prediction models from a single vendor: a systematic review
Importance Various model reporting guidelines have been proposed to ensure clinical
prediction models are reliable and fair. However, no consensus exists about which model …
prediction models are reliable and fair. However, no consensus exists about which model …
Reforms: Reporting standards for machine learning based science
Machine learning (ML) methods are proliferating in scientific research. However, the
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
[HTML][HTML] Comparison of severity of illness scores and artificial intelligence models that are predictive of intensive care unit mortality: meta-analysis and review of the …
C Barboi, A Tzavelis, LNQ Muhammad - JMIR Medical …, 2022 - mededu.jmir.org
Background: Severity of illness scores—Acute Physiology and Chronic Health Evaluation,
Simplified Acute Physiology Score, and Sequential Organ Failure Assessment—are current …
Simplified Acute Physiology Score, and Sequential Organ Failure Assessment—are current …
Machine learning models for prediction of HF and CKD development in early-stage type 2 diabetes patients
E Kanda, A Suzuki, M Makino, H Tsubota… - Scientific reports, 2022 - nature.com
Chronic kidney disease (CKD) and heart failure (HF) are the first and most frequent
comorbidities associated with mortality risks in early-stage type 2 diabetes mellitus (T2DM) …
comorbidities associated with mortality risks in early-stage type 2 diabetes mellitus (T2DM) …