AIMC Topic: PubMed

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IDPpub: Illuminating the Dark Phosphoproteome Through PubMed Mining.

Molecular & cellular proteomics : MCP Nov 21, 2023
Global phosphoproteomics experiments quantify tens of thousands of phosphorylation sites. However, data interpretation is hampered by our limited knowledge on functions, biological contexts, or precipitating enzymes of the phosphosites. This study es...
Humans PubMed Data Mining Natural Language Processing Databases, Factual
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Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

Artificial intelligence in medicine Nov 1, 2023
OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic rev...
Patient Outcome Assessment PubMed Natural Language Processing Humans Electronic Health Records Machine Learning
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Artificial intelligence in forensic medicine and forensic dentistry.

The Journal of forensic odonto-stomatology Aug 27, 2023
This review article aims to highlight the current possibilities for applying Artificial Intelligence in modern forensic medicine and forensic dentistry and present the advantages and disadvantages of its use. For this purpose, the relevant academic l...
PubMed Forensic Dentistry Forensic Medicine Artificial Intelligence Privacy Humans
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Robotic Surgery in Urology: History from PROBOT to HUGO.

Sensors (Basel, Switzerland) Aug 11, 2023
The advent of robotic surgical systems had a significant impact on every surgical area, especially urology, gynecology, and general and cardiac surgery. The aim of this article is to delineate robotic surgery, particularly focusing on its historical ...
Robotic Surgical Procedures Diffusion Robotics Urology PubMed Humans
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Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics Aug 10, 2023
Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting which existing drugs could be repurposed to treat rare diseases. Incorporating key biological contex...
Humans PubMed Data Mining Rare Diseases Knowledge Bases
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Few-shot learning for medical text: A review of advances, trends, and opportunities.

Journal of biomedical informatics Jul 23, 2023
BACKGROUND: Few-shot learning (FSL) is a class of machine learning methods that require small numbers of labeled instances for training. With many medical topics having limited annotated text-based data in practical settings, FSL-based natural langua...
Publications Natural Language Processing MEDLINE PubMed Machine Learning
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Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jul 21, 2023
BACKGROUND: Deep learning (DL) prediction models hold great promise in the triage of COVID-19.
PubMed Diagnostic Tests, Routine COVID-19 Deep Learning COVID-19 Testing Retrospective Studies Humans
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Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review.

International journal of medical informatics Jun 5, 2023
BACKGROUND: Natural Language Processing (NLP) applications have developed over the past years in various fields including its application to clinical free text for named entity recognition and relation extraction. However, there has been rapid develo...
Language Natural Language Processing Machine Learning Humans Information Storage and Retrieval PubMed
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A Systematic Survey of Data Augmentation of ECG Signals for AI Applications.

Sensors (Basel, Switzerland) May 31, 2023
AI techniques have recently been put under the spotlight for analyzing electrocardiograms (ECGs). However, the performance of AI-based models relies on the accumulation of large-scale labeled datasets, which is challenging. To increase the performanc...
PubMed Databases, Factual Artificial Intelligence Electrocardiography
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Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature.

Journal of biomedical semantics May 30, 2023
BACKGROUND: Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For the first time, active learning (AL) is studied in DDI IR analysis. DDI IR analysis from PubMed abs...
PubMed Deep Learning Information Storage and Retrieval Algorithms Drug Interactions
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