[PDF][PDF] The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management
DT Reddy, I Grewal, LFG Pinzon, B Latchireddy… - Cureus, 2024 - cureus.com
This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury
H Ter Horst, N Brazda, J Schira-Heinen… - Artificial Intelligence in …, 2023 - Elsevier
The paradigm of evidence-based medicine requires that medical decisions are made on the
basis of the best available knowledge published in the literature. Existing evidence is often …
basis of the best available knowledge published in the literature. Existing evidence is often …
Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trials
C Witte, DM Schmidt, P Cimiano - Journal of Biomedical Semantics, 2024 - Springer
Abstract Background Systematic reviews of Randomized Controlled Trials (RCTs) are an
important part of the evidence-based medicine paradigm. However, the creation of such …
important part of the evidence-based medicine paradigm. However, the creation of such …
Intra-template entity compatibility based slot-filling for clinical trial information extraction
C Witte, P Cimiano - Proceedings of the 21st Workshop on …, 2022 - aclanthology.org
We present a deep learning based information extraction system that can extract the design
and results of a published abstract describing a Randomized Controlled Trial (RCT). In …
and results of a published abstract describing a Randomized Controlled Trial (RCT). In …
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
O Sanchez-Graillet, C Witte, F Grimm… - Journal of Biomedical …, 2022 - Springer
Background The evidence-based medicine paradigm requires the ability to aggregate and
compare outcomes of interventions across different trials. This can be facilitated and partially …
compare outcomes of interventions across different trials. This can be facilitated and partially …
The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management
TR Dhammadam, G Inayat, GPL Fernanda… - Cureus, 2024 - search.proquest.com
This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …
CTrO-Editor: A Web-based Tool to Capture Clinical Trial Data for Aggregation and Pooling
O Sanchez-Graillet, A Kramer-Sunderbrink… - Proceedings of the 11th …, 2021 - dl.acm.org
As the number of clinical trials carried out and published worldwide keeps growing, better
tools for synthesizing the available knowledge become increasingly important. It still …
tools for synthesizing the available knowledge become increasingly important. It still …
Synthesizing evidence from clinical trials with dynamic interactive argument trees
O Sanchez-Graillet, C Witte, F Grimm, S Grautoff… - Journal of Biomedical …, 2022 - Springer
Background Evidence-based medicine propagates that medical/clinical decisions are made
by taking into account high-quality evidence, most notably in the form of randomized clinical …
by taking into account high-quality evidence, most notably in the form of randomized clinical …
[PDF][PDF] Argumentation schemes for clinical interventions. towards an evidence-aggregation system for medical recommendations
O Sanchez Graillet, P Cimiano - HEALTHINFO 2019. The Fourth …, 2019 - personales.upv.es
The paradigm of evidence-based medicine requires that medical decisions are taken based
on available, verified and high quality evidence. Such evidence has to be obtained from …
on available, verified and high quality evidence. Such evidence has to be obtained from …
[PDF][PDF] Natural Language Processing and Deep Learning Approaches for Systematic Review (Semi-) Automation
S Marchand–Maillet, H Müller - access.archive-ouverte.unige.ch
Advances in natural language processing are the talk of the town, yet these advances have
not materialized into their widespread adoption into systematic review automation …
not materialized into their widespread adoption into systematic review automation …