Artificial intelligence in US health care delivery

NR Sahni, B Carrus - New England Journal of Medicine, 2023 - Mass Medical Soc
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Artificial intelligence in brain tumor imaging: a step toward personalized medicine

M Cè, G Irmici, C Foschini, GM Danesini, LV Falsitta… - Current …, 2023 - mdpi.com
The application of artificial intelligence (AI) is accelerating the paradigm shift towards patient-
tailored brain tumor management, achieving optimal onco-functional balance for each …

[HTML][HTML] The safety of inpatient health care

DW Bates, DM Levine, H Salmasian… - … England Journal of …, 2023 - Mass Medical Soc
Background Adverse events during hospitalization are a major cause of patient harm, as
documented in the 1991 Harvard Medical Practice Study. Patient safety has changed …

[HTML][HTML] Assessing the utility of ChatGPT throughout the entire clinical workflow: development and usability study

A Rao, M Pang, J Kim, M Kamineni, W Lie… - Journal of Medical …, 2023 - jmir.org
Background Large language model (LLM)–based artificial intelligence chatbots direct the
power of large training data sets toward successive, related tasks as opposed to single-ask …

Nanotechnology for a sustainable future: Addressing global challenges with the international network4sustainable nanotechnology

L Pokrajac, A Abbas, W Chrzanowski, GM Dias… - 2021 - ACS Publications
Nanotechnology has important roles to play in international efforts in sustainability. We
discuss how current and future capabilities in nanotechnology align with and support the …

Assessing the utility of ChatGPT throughout the entire clinical workflow

A Rao, M Pang, J Kim, M Kamineni, W Lie, AK Prasad… - MedRxiv, 2023 - medrxiv.org
IMPORTANCE Large language model (LLM) artificial intelligence (AI) chatbots direct the
power of large training datasets towards successive, related tasks, as opposed to single-ask …

[HTML][HTML] The diagnostic and triage accuracy of the GPT-3 artificial intelligence model

DM Levine, R Tuwani, B Kompa, A Varma… - MedRxiv, 2023 - ncbi.nlm.nih.gov
Objective: Compare the general-purpose Generative Pre-trained Transformer 3 (GPT-3) AI
model's diagnostic and triage performance to attending physicians and lay adults who use …

Do people engage cognitively with AI? Impact of AI assistance on incidental learning

KZ Gajos, L Mamykina - … of the 27th International Conference on …, 2022 - dl.acm.org
When people receive advice while making difficult decisions, they often make better
decisions in the moment and also increase their knowledge in the process. However, such …

Exploring the potential of Chat-GPT as a supportive tool for sialendoscopy clinical decision making and patient information support

CM Chiesa-Estomba, JR Lechien, LA Vaira… - European Archives of …, 2024 - Springer
Introduction Sialendoscopy has emerged in the last decades as a groundbreaking
technique, offering a minimally invasive approach for exploring and managing salivary …

The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study

DM Levine, R Tuwani, B Kompa, A Varma… - The Lancet Digital …, 2024 - thelancet.com
Background Artificial intelligence (AI) applications in health care have been effective in
many areas of medicine, but they are often trained for a single task using labelled data …