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08/27/2023
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
The ability of large language models (LLMs) to follow natural language i...
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08/13/2023
Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine
One of the major barriers to using large language models (LLMs) in medic...
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04/26/2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Despite growing interest in using large language models (LLMs) in health...
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03/11/2023
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Machine learning (ML) applications in healthcare are extensively researc...
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09/15/2022
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection
When evaluating the performance of clinical machine learning models, one...
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04/30/2022
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
Background. Pre-operative risk assessments used in clinical practice are...
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07/23/2020
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles
The growing demand for key healthcare resources such as clinical experti...
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01/08/2020
