Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine

P Lee, S Bubeck, J Petro - New England Journal of Medicine, 2023 - Mass Medical Soc
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

Potential for GPT technology to optimize future clinical decision-making using retrieval-augmented generation

C Wang, J Ong, C Wang, H Ong, R Cheng… - Annals of Biomedical …, 2024 - Springer
Advancements in artificial intelligence (AI) provide many helpful tools for healthcare, one of
which includes AI chatbots that use natural language processing to create humanlike …

Biomedical relation extraction with knowledge base–refined weak supervision

W Yoon, S Yi, R Jackson, H Kim, S Kim, J Kang - Database, 2023 - academic.oup.com
Biomedical relation extraction (BioRE) is the task of automatically extracting and classifying
relations between two biomedical entities in biomedical literature. Recent advances in …

Knowledge graphs in psychiatric research: Potential applications and future perspectives

S Freidel, E Schwarz - Acta Psychiatrica Scandinavica, 2024 - Wiley Online Library
Abstract Background Knowledge graphs (KGs) remain an underutilized tool in the field of
psychiatric research. In the broader biomedical field KGs are already a significant tool …

Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network

LH Wang, XM Liu, Y Liu, HR Li, JQI Liu, LB Yang - Plos one, 2023 - journals.plos.org
Using information technology to extract emergency decision-making knowledge from
emergency plan documents is an essential means to enhance the efficiency and capacity of …

NetMe 2.0: a web-based platform for extracting and modeling knowledge from biomedical literature as a labeled graph

A Di Maria, L Bellomo, F Billeci, A Cardillo… - …, 2024 - academic.oup.com
Motivation The rapid increase of bio-medical literature makes it harder and harder for
scientists to keep pace with the discoveries on which they build their studies. Therefore …

STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature

F Mehryary, K Nastou, T Ohta, LJ Jensen, S Pyysalo - bioRxiv, 2023 - biorxiv.org
Understanding biological processes relies heavily on curated knowledge of physical
interactions between proteins. Yet, a notable gap remains between the information stored in …

Accuracy analysis of the end-to-end extraction of related named entities from Russian drug review texts by modern approaches validated on English Biomedical …

A Sboev, R Rybka, A Selivanov, I Moloshnikov… - Mathematics, 2023 - mdpi.com
An extraction of significant information from Internet sources is an important task of
pharmacovigilance due to the need for post-clinical drugs monitoring. This research …

Diagnosis prediction using knowledge graphs

H Parshotam, GS Nel - South African Journal of Industrial Engineering, 2023 - scielo.org.za
DIAGNOSIS PREDICTION USING KNOWLEDGE GRAPHS Page 1 South African Journal of
Industrial Engineering November 2023 Vol 34(3), pp 111-125 111 DIAGNOSIS PREDICTION …

Exploring the Fusion of Knowledge Graphs into Cognitive Modular Production

S Jaryani, I Yitmen, H Sadri, S Alizadehsalehi - Buildings, 2023 - mdpi.com
Modular production has been recognized as a pivotal approach for enhancing productivity
and cost reduction within the industrialized building industry. In the pursuit of further …