Machine Learning in Healthcare

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Privacy-Preserving Large Language Model Deployment for Oncology Registry Abstraction: Structure-Aware Evaluation in a Real-World Clinical Setting
medRxiv · 21 Oct 2026 · Preprint
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Automated Interpretation of EEG Reports Using a Large Language Model with Structured Confidence Outputs
medRxiv · 21 Oct 2026 · Preprint
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Natural Language Processing Based Solution for Labeling Brain Metastasis Identified in Radiology Reports
medRxiv · 21 Oct 2026 · Preprint
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Benchmarking Recording-Level Clinical Speech De-identification for Privacy-Preserving Clinical Audio
medRxiv · 17 Oct 2026 · Preprint
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Performance evaluation and benchmarking across 16 large language model configurations on a large real-world emergency department triage data set
medRxiv · 16 Oct 2026 · Preprint
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Electronic health record (EHR)-detectable statin intolerance phenotypes: Prevalence and validation in real-world general practice
medRxiv · 16 Oct 2026 · Preprint
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MedMatch: a standardized medication order format for data science and natural language processing applications
medRxiv · 13 Oct 2026 · Preprint
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Developing an OMOP-Standardized Prostate Cancer Database and Improving Data Quality Using NLP and PSA-Based Algorithms
medRxiv · 12 Oct 2026 · Preprint
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EventHorizon: A Foundation Model for Clinical Flow Cytometry
bioRxiv · 10 Oct 2026 · Preprint
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Dementia Language Models: a generalizable and controllable representation of cognitive impairment
bioRxiv · 10 Oct 2026 · Preprint
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Can Routine Clinical Variables Substitute for Urine Albumin Testing in Moderate Chronic Kidney Disease? A Machine Learning Analysis of NHANES 2015 to 2018
medRxiv · 9 Oct 2026 · Preprint
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GRASP: Graph Representation Learning with Assay Supervision for Molecular Properties
bioRxiv · 7 Oct 2026 · Preprint
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Revisiting the High-Benefit Patient: Generic Machine Learning Inference for Intensive Blood Pressure Control
medRxiv · 6 Oct 2026 · Preprint
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Error-Controlled Decision Policies for Medical Foundation Models
medRxiv · 6 Oct 2026 · Preprint
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Assessing AI and Neurologist Diagnostic Reasoning Against Neuropathological Ground Truth
medRxiv · 3 Oct 2026 · Preprint
DIAGNO, an AI system, achieves 67% top-3 accuracy, surpassing neurologists' 63%, in diagnosing complex neurological disorders confirmed by neuropathology.
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From algorithms to patient outcomes - lessons from one of the first randomized trials of AI in medicine.
Nature Medicine · 1 Oct 2026 · Journal Article
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Synthetic data generation: challenges and perspectives for gastrointestinal medicine.
Nature reviews. Gastroenterology & hepatology · 1 Oct 2026 · Review
Synthetic data generation has the potential to transform gastrointestinal medicine by enabling more effective prevention, diagnosis, and treatment strategies.
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Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened.
Nature Medicine · 1 Oct 2026 · Journal Article
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Counting who was not tested: artificial intelligence extraction of genomic and treatment data from hospital records.
The Lancet Oncology · 1 Oct 2026 · Journal Article
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Multimodal Integration of Ambulatory ECG and Clinical Features for Sudden Cardiac Death and Pump Failure Death Prediction
medRxiv · 30 Sept 2026 · Preprint
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A locally deployable agentic framework for clinical data deidentification
medRxiv · 29 Sept 2026 · Preprint
The Multimodal Anonymizer achieves near-complete deidentification of multimodal hospital data with over 98% sensitivity and preserves critical clinical information at rates above 99%.
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Biologically Informed Multi-Omics Integration Reveals Clinically Meaningful Patient Representations in Acute Myeloid Leukemia
bioRxiv · 25 Sept 2026 · Preprint
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https://jclub.com.au/a/10.64898/2026.09.19.752929
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Leveraging Large Language Models for Temporal PHI De-identification in Real-World Clinical Notes
medRxiv · 23 Sept 2026 · Preprint
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https://jclub.com.au/a/10.64898/2026.09.22.26360316
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Fully Automated Abstraction of Longitudinal Breast Oncology Records with Off-The-Shelf Large Language Models
medRxiv · 21 Sept 2026 · Preprint
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Avoiding common failures in AI for health and medicine.
Cell · 17 Sept 2026 · Review
Reliability failures in AI for healthcare include erroneous outputs, population disparities, and performance decline, threatening safe deployment across 20+ failure modes.
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World models for biomedicine.
Cell · 17 Sept 2026 · Review
Biomedical world models spanning molecular to clinical scales can predict system responses to interventions, enabling proactive decision-making in medicine.
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Interpretable Machine Learning Identifies an Emergent Absence Seizure Mechanism
bioRxiv · 16 Sept 2026 · Preprint
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https://jclub.com.au/a/10.1101/2025.09.23.678032
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Distinguishing Social Isolation, Social Support, and Contextual False Positives in Clinical Notes Using Fine-Tuned Language Models: Multisite Validation Study
medRxiv · 16 Sept 2026 · Preprint
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Computable longitudinal patient journeys from structured and unstructured EHR data.
Nature Medicine · 10 Sept 2026 · Journal Article
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Learning the Language of the Microbiome with Transformers
bioRxiv · 10 Sept 2026 · Preprint
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