Using artificial intelligence methods for systematic review in health sciences: A systematic review

A Blaizot, SK Veettil, P Saidoung… - Research Synthesis …, 2022 - Wiley Online Library
The exponential increase in published articles makes a thorough and expedient review of
literature increasingly challenging. This review delineated automated tools and platforms …

Artificial intelligence and cardiovascular genetics

C Krittanawong, KW Johnson, E Choi, S Kaplin… - Life, 2022 - mdpi.com
Polygenic diseases, which are genetic disorders caused by the combined action of multiple
genes, pose unique and significant challenges for the diagnosis and management of …

Applications of model-based meta-analysis in drug development

P Chan, K Peskov, X Song - Pharmaceutical research, 2022 - Springer
Abstract Model-based meta-analysis (MBMA) is a quantitative approach that leverages
published summary data along with internal data and can be applied to inform key drug …

Predict then interpolate: A simple algorithm to learn stable classifiers

Y Bao, S Chang, R Barzilay - International Conference on …, 2021 - proceedings.mlr.press
Abstract We propose Predict then Interpolate (PI), a simple algorithm for learning
correlations that are stable across environments. The algorithm follows from the intuition that …

Intelligent, autonomous machines in surgery

TJ Loftus, AC Filiberto, J Balch, AL Ayzengart… - Journal of Surgical …, 2020 - Elsevier
Surgeons perform two primary tasks: operating and engaging patients and caregivers in
shared decision-making. Human dexterity and decision-making are biologically limited …

Natural language processing to facilitate breast cancer research and management

KS Hughes, J Zhou, Y Bao, P Singh, J Wang… - The Breast …, 2020 - Wiley Online Library
The medical literature has been growing exponentially, and its size has become a barrier for
physicians to locate and extract clinically useful information. As a promising solution, natural …

Using machine learning and natural language processing to review and classify the medical literature on cancer susceptibility genes

Y Bao, Z Deng, Y Wang, H Kim… - JCO Clinical Cancer …, 2019 - ascopubs.org
PURPOSE The medical literature relevant to germline genetics is growing exponentially.
Clinicians need tools that help to monitor and prioritize the literature to understand the …

[HTML][HTML] Translational NLP: A new paradigm and general principles for natural language processing research

D Newman-Griffis, JF Lehman, C Rosé… - Proceedings of the …, 2021 - ncbi.nlm.nih.gov
Natural language processing (NLP) research combines the study of universal principles,
through basic science, with applied science targeting specific use cases and settings …

Penetrance of male breast cancer susceptibility genes: a systematic review

RS Chamseddine, C Wang, K Yin, J Wang… - Breast Cancer Research …, 2022 - Springer
Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but
the MBC risk for individuals with a pathogenic variant in each of these genes (ie …

Meta‐analysis of breast cancer risk for individuals with PALB2 pathogenic variants

TLM Ruberu, D Braun, G Parmigiani… - Genetic …, 2024 - Wiley Online Library
Multigene panel testing now allows efficient testing of many cancer susceptibility genes
leading to a larger number of mutation carriers being identified. They need to be counseled …