AIMC Topic: PubMed

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Artificial intelligence in forensic medicine and forensic dentistry.

The Journal of forensic odonto-stomatology
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...

Robotic Surgery in Urology: History from PROBOT to HUGO.

Sensors (Basel, Switzerland)
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 ...

Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics
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...

Few-shot learning for medical text: A review of advances, trends, and opportunities.

Journal of biomedical informatics
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...

Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review.

International journal of medical informatics
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...

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications.

Sensors (Basel, Switzerland)
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...

Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature.

Journal of biomedical semantics
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...

Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis.

Artificial intelligence in medicine
BACKGROUND: Artificial intelligence (AI) technology has clustered patients based on clinical features into sub-clusters to stratify high-risk and low-risk groups to predict outcomes in lung cancer after radiotherapy and has gained much more attention...

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.

Journal of biomedical informatics
BACKGROUND: Identifying practice-ready evidence-based journal articles in medicine is a challenge due to the sheer volume of biomedical research publications. Newer approaches to support evidence discovery apply deep learning techniques to improve th...