Causal machine learning for predicting treatment outcomes
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment
outcomes including efficacy and toxicity, thereby supporting the assessment and safety of …
outcomes including efficacy and toxicity, thereby supporting the assessment and safety of …
Beyond principlism: practical strategies for ethical AI use in research practices
Z Lin - AI and Ethics, 2024 - Springer
The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly
large language models (LLMs), has outpaced the development of ethical guidelines, leading …
large language models (LLMs), has outpaced the development of ethical guidelines, leading …
A critical moment in machine learning in medicine: on reproducible and interpretable learning
Over the past two decades, advances in computational power and data availability
combined with increased accessibility to pre-trained models have led to an exponential rise …
combined with increased accessibility to pre-trained models have led to an exponential rise …
Bayesian neural controlled differential equations for treatment effect estimation
K Hess, V Melnychuk, D Frauen… - ar** case-specific predictive risk score models that reflect the unique …