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Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/med4.70openalex-snapshot
Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records
inferredcites →https://doi.org/10.1002/med4.75openalex-snapshot
Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare
inferredcites →https://doi.org/10.1007/s10459-022-10187-7openalex-snapshot
A scoping review of therapeutic reasoning process research
inferredcites →https://doi.org/10.1016/j.asoc.2019.105941openalex-snapshot
An improved random forest-based rule extraction method for breast cancer diagnosis
inferredcites →https://doi.org/10.1016/j.bspc.2020.101903openalex-snapshot
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE)
inferredcites →https://doi.org/10.1016/j.eswa.2021.116113openalex-snapshot
Severity level diagnosis of Parkinson’s disease by ensemble K-nearest neighbor under imbalanced data
inferredcites →https://doi.org/10.1016/j.jbi.2024.104673openalex-snapshot
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification
inferredcites →https://doi.org/10.1016/j.knosys.2023.111082openalex-snapshot
Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history
inferredcites →https://doi.org/10.1016/j.medj.2021.04.006openalex-snapshot
Machine learning in clinical decision making
inferredcites →https://doi.org/10.1038/s41746-020-0254-2openalex-snapshot
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
inferredcites →https://doi.org/10.1038/s42256-021-00394-zopenalex-snapshot
Harnessing the power of artificial intelligence to transform hearing healthcare and research
inferredcites →https://doi.org/10.1038/s42256-024-00795-wopenalex-snapshot
Protein function prediction as approximate semantic entailment
inferredcites →https://doi.org/10.1046/j.1365-2648.2000.01565.xopenalex-snapshot
Classifying clinical decision making: a unifying approach
inferredcites →https://doi.org/10.1046/j.1365-2648.2000.01603.xopenalex-snapshot
Classifying clinical decision making: interpreting nursing intuition, heuristics and medical diagnosis
inferredcites →https://doi.org/10.1073/pnas.1900654116openalex-snapshot
Definitions, methods, and applications in interpretable machine learning
inferredcites →https://doi.org/10.1073/pnas.1906831117openalex-snapshot
Expert-augmented machine learning
inferredcites →https://doi.org/10.1093/postmj/qgae079openalex-snapshot
Clinical reasoning in real-world practice: a primer for medical trainees and practitioners
inferredcites →https://doi.org/10.1109/tai.2022.3227225openalex-snapshot
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning
inferredcites →https://doi.org/10.1111/j.1365-2648.2004.03091.xopenalex-snapshot
Decision‐making models used by ‘graduate nurses’ managing patients’ medications
inferredcites →https://doi.org/10.1111/j.1365-2702.2006.01791.xopenalex-snapshot
A review of clinical decision making: models and current research
inferredcites →https://doi.org/10.12968/bjon.2013.22.4.212openalex-snapshot
Science and intuition: do both have a place in clinical decision making?
inferredcites →https://doi.org/10.2196/20645openalex-snapshot
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach
inferredcites →https://doi.org/10.2196/43251openalex-snapshot
Human-Centered Design to Address Biases in Artificial Intelligence
inferredcites →https://doi.org/10.33151/ajp.3.1.308openalex-snapshot
Theories of Clinical Judgment and Decision-Making: A Review of the Theoretical Literature
inferredcites →https://doi.org/10.4159/harvard.9780674189089openalex-snapshot
Medical Problem Solving: An Analysis of Clinical Reasoning
inferredcites →https://doi.org/10.7326/0003-4819-157-1-201207030-00450openalex-snapshot
Effect of Clinical Decision-Support Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Start Active Learning
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Anatomic Boundary‐Aware Explanation for Convolutional Neural Networks in Diagnostic Radiology
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Natural Language Processing for Chest X‐Ray Reports in the Transformer Era: BERT‐Like Encoders for Comprehension and GPT‐Like Decoders for Generation
inferred← citeshttps://doi.org/10.1007/s00146-026-02930-0openalex-snapshot
Automating inequity: how artificial intelligence reproduces systemic failures in patient safety for marginalized communities
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MeDiCNet: Integrating Multi-scale Dynamic Convolution and Enhanced Position-Aware Transformer for DNA Methylation Site Prediction
inferred← citeshttps://doi.org/10.1016/j.colsurfb.2025.115038openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.mtbio.2025.102487openalex-snapshot
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Insights into next-generation immunotherapy designs and tools: molecular mechanisms and therapeutic prospects
inferred← citeshttps://doi.org/10.3389/fendo.2026.1852512openalex-snapshot
Development and validation of an explainable machine learning model for predicting interstitial fibrosis and tubular atrophy in biopsy-confirmed diabetic nephropathy
inferred← citeshttps://doi.org/10.3389/fendo.2026.1912965openalex-snapshot
Metabolic dysfunction-associated fatty liver disease exacerbates hematoma expansion in intracerebral hemorrhage: an explainable machine learning approach
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Circulating microRNA molecular signatures converge with erythroid phenotypes and iron homeostasis in pediatric tic disorders
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Hepatocellular carcinoma in patients without cirrhosis
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Healthcare Decision-Making Ecosystem Deengineering
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