Data extraction methods for systematic review (semi) automation: update of a living systematic review

L Schmidt, ANF Mutlu, R Elmore, BK Olorisade… - …, 2023 - pmc.ncbi.nlm.nih.gov
Background: The reliable and usable (semi) automation of data extraction can support the
field of systematic review by reducing the workload required to gather information about the …

[HTML][HTML] Automated paper screening for clinical reviews using large language models: Data analysis study

E Guo, M Gupta, J Deng, YJ Park, M Paget… - Journal of Medical …, 2024 - jmir.org
Background The systematic review of clinical research papers is a labor-intensive and time-
consuming process that often involves the screening of thousands of titles and abstracts …

Summarizing, simplifying, and synthesizing medical evidence using GPT-3 (with varying success)

C Shaib, ML Li, S Joseph, IJ Marshall, JJ Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models, particularly GPT-3, are able to produce high quality summaries of
general domain news articles in few-and zero-shot settings. However, it is unclear if such …

Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review

R Ofori-Boateng, M Aceves-Martins… - Artificial intelligence …, 2024 - Springer
Systematic reviews (SRs) constitute a critical foundation for evidence-based decision-
making and policy formulation across various disciplines, particularly in healthcare and …

Living health technology assessment: issues, challenges and opportunities

P Thokala, T Srivastava, R Smith, S Ren… - …, 2023 - Springer
Health technology assessments (HTAs) are typically performed as one-off evaluations and
can potentially become out-of-date due to the availability of new data, new comparators, or …

Can large language models replace humans in systematic reviews? Evaluating GPT‐4's efficacy in screening and extracting data from peer‐reviewed and grey …

Q Khraisha, S Put, J Kappenberg… - Research Synthesis …, 2024 - Wiley Online Library
Systematic reviews are vital for guiding practice, research and policy, although they are
often slow and labour‐intensive. Large language models (LLMs) could speed up and …

[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a scoping review

ÁO Dos Santos, ES da Silva, LM Couto… - Journal of Biomedical …, 2023 - Elsevier
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Redhot: A corpus of annotated medical questions, experiences, and claims on social media

S Wadhwa, V Khetan, S Amir, B Wallace - arXiv preprint arXiv:2210.06331, 2022 - arxiv.org
We present Reddit Health Online Talk (RedHOT), a corpus of 22,000 richly annotated social
media posts from Reddit spanning 24 health conditions. Annotations include demarcations …

Methodology reporting improved over time in 176,469 randomized controlled trials

H Kilicoglu, L Jiang, L Hoang, E Mayo-Wilson… - Journal of Clinical …, 2023 - Elsevier
Objectives To describe randomized controlled trial (RCT) methodology reporting over time.
Study Design and Setting We used a deep learning-based sentence classification model …

Interpreting randomized controlled trials

P Msaouel, J Lee, PF Thall - Cancers, 2023 - mdpi.com
Simple Summary We provide an extensive review of the fundamental principles of statistical
science that are needed to accurately interpret randomized controlled trials (RCTs). We use …