The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …
interest in building similar models for electronic medical records (EMRs) to improve patient …
[HTML][HTML] Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support
Artificial intelligence (AI)–based clinical decision support systems are gaining momentum by
relying on a greater volume and variety of secondary use data. However, the uncertainty …
relying on a greater volume and variety of secondary use data. However, the uncertainty …
Ehrshot: An ehr benchmark for few-shot evaluation of foundation models
M Wornow, R Thapa, E Steinberg… - Advances in Neural …, 2023 - proceedings.neurips.cc
While the general machine learning (ML) community has benefited from public datasets,
tasks, and models, the progress of ML in healthcare has been hampered by a lack of such …
tasks, and models, the progress of ML in healthcare has been hampered by a lack of such …
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Fluorescence microscopy-based image restoration has received widespread attention in the
life sciences and has led to significant progress, benefiting from deep learning technology …
life sciences and has led to significant progress, benefiting from deep learning technology …
Zero-shot causal learning
Predicting how different interventions will causally affect a specific individual is important in
a variety of domains such as personalized medicine, public policy, and online marketing …
a variety of domains such as personalized medicine, public policy, and online marketing …
Stable clinical risk prediction against distribution shift in electronic health records
The availability of large-scale electronic health record datasets has led to the development
of artificial intelligence (AI) methods for clinical risk prediction that help improve patient care …
of artificial intelligence (AI) methods for clinical risk prediction that help improve patient care …
The shaky foundations of clinical foundation models: A survey of large language models and foundation models for emrs
The successes of foundation models such as ChatGPT and AlphaFold have spurred
significant interest in building similar models for electronic medical records (EMRs) to …
significant interest in building similar models for electronic medical records (EMRs) to …
A multi-center study on the adaptability of a shared foundation model for electronic health records
Foundation models are transforming artificial intelligence (AI) in healthcare by providing
modular components adaptable for various downstream tasks, making AI development more …
modular components adaptable for various downstream tasks, making AI development more …
Large-scale study of temporal shift in health insurance claims
Most machine learning models for predicting clinical outcomes are developed using
historical data. Yet, even if these models are deployed in the near future, dataset shift over …
historical data. Yet, even if these models are deployed in the near future, dataset shift over …
[HTML][HTML] Deep continual learning for medical call incidents text classification under the presence of dataset shifts
The aim of this work is to develop and evaluate a deep classifier that can effectively prioritize
Emergency Medical Call Incidents (EMCI) according to their life-threatening level under the …
Emergency Medical Call Incidents (EMCI) according to their life-threatening level under the …