Latest AI and machine learning research in surveys for healthcare professionals.
This study explores clinician understanding and perception at site lead level towards machine learni...
Large Language Models (LLMs) show significant promise in medicine but are typically evaluated using ...
Machine learning (ML) models are widely used to predict body mass index (BMI), yet their fairness ac...
There is great potential for artificial Intelligence (AI) and machine learning (ML) to support decis...
Natural language processing (NLP) can identify cohorts of patients with inflammatory bowel disease (...
Prompt engineering has the potential to enhance large language models’ (LLM) ability to solve tasks ...
Data extraction is a critical but resource-intensive step of the evidence review process. Whilst the...
Estimating causal effects in observational health data is challenging due to confounding by indicati...
Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from p...
Large language model (LLM)-assisted early warning system may help overcome existing barriers to time...
Artificial Intelligence models are increasingly used in healthcare, yet global performance metrics c...
Bias assessment is a crucial step in evaluating evidence from randomized controlled trials. The wide...
Small open-source medical large language models (LLMs) offer promising opportunities for low-resourc...
The emergence of Large Language Models (LLMs) like ChatGPT presents significant opportunities for he...
Machine learning (ML) algorithms are increasingly used to estimate propensity score with expectation...
Large language models (LLMs) show promise for improving clinical reasoning, but they also risk induc...
Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, includin...
Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of ...
Hypertension is a major modifiable risk factor for cardiovascular diseases. Early identification of ...
Two sound level maps currently exist for the contiguous United States. One was developed by the Nati...
To develop privacy-enhancing statistical methods for estimation of binary disease risk model associa...