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Medical artificial intelligence and human values
Key Points Medical Artificial Intelligence and Human Values As large language models and
other artificial intelligence models are used more in medicine, ethical dilemmas can arise …
other artificial intelligence models are used more in medicine, ethical dilemmas can arise …
A survey of large language models in medicine: Progress, application, and challenge
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …
to their capabilities for understanding and generating human language. While there has …
Large language model influence on diagnostic reasoning: a randomized clinical trial
Importance Large language models (LLMs) have shown promise in their performance on
both multiple-choice and open-ended medical reasoning examinations, but it remains …
both multiple-choice and open-ended medical reasoning examinations, but it remains …
Rethinking interpretability in the era of large language models
Interpretable machine learning has exploded as an area of interest over the last decade,
sparked by the rise of increasingly large datasets and deep neural networks …
sparked by the rise of increasingly large datasets and deep neural networks …
Tribulations and future opportunities for artificial intelligence in precision medicine
Upon a diagnosis, the clinical team faces two main questions: what treatment, and at what
dose? Clinical trials' results provide the basis for guidance and support for official protocols …
dose? Clinical trials' results provide the basis for guidance and support for official protocols …
Building machines that learn and think with people
What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
An evaluation framework for clinical use of large language models in patient interaction tasks
The integration of large language models (LLMs) into clinical diagnostics has the potential to
transform doctor–patient interactions. However, the readiness of these models for real-world …
transform doctor–patient interactions. However, the readiness of these models for real-world …
A future role for health applications of large language models depends on regulators enforcing safety standards
Among the rapid integration of artificial intelligence in clinical settings, large language
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
Medbench: A large-scale chinese benchmark for evaluating medical large language models
The emergence of various medical large language models (LLMs) in the medical domain
has highlighted the need for unified evaluation standards, as manual evaluation of LLMs …
has highlighted the need for unified evaluation standards, as manual evaluation of LLMs …
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
Evaluating large language models (LLM) in clinical scenarios is crucial to assessing their
potential clinical utility. Existing benchmarks rely heavily on static question-answering, which …
potential clinical utility. Existing benchmarks rely heavily on static question-answering, which …