AIMC Journal:
Studies in health technology and informatics

Showing 621 to 630 of 1278 articles

The First Introduction of Social Robotics in Rehabilitation Care.

Studies in health technology and informatics
Can you imagine to receive treatment through a robot? When talking about the future of healthcare, this is the vision many people have. Currently, the predominant role of social robots in care is entertaining patients. However, this does not have an ...

Deep Learning Methods for Detecting Side Effects of Cancer Chemotherapies Reported in a Remote Monitoring Web Application.

Studies in health technology and informatics
The objective of our work was to develop deep learning methods for extracting and normalizing patient-reported free-text side effects in a cancer chemotherapy side effect remote monitoring web application. The F-measure was 0.79 for the medical conce...

Named Entity Recognition in Pubmed Abstracts for Pharmacovigilance Using Deep Learning.

Studies in health technology and informatics
Methods of natural language processing associated with machine learning or deep learning can support detection of adverse drug reactions in abstracts of case reports available on Pubmed. In 2012, Gurulingappa et al. proposed a training set for the re...

Performance of Machine Learning Methods to Classify French Medical Publications.

Studies in health technology and informatics
Many medical narratives are read by care professionals in their preferred language. These documents can be produced by organizations, authorities or national publishers. However, they are often hardly findable using the usual query engines based on E...

Deep Learning-Based Brain Hemorrhage Detection in CT Reports.

Studies in health technology and informatics
Radiology reports can potentially be used to detect critical cases that need immediate attention from physicians. We focus on detecting Brain Hemorrhage from Computed Tomography (CT) reports. We train a deep learning classifier and observe the effect...

Topic Modeling for International Patients' Consultations Using Natural Language Processing.

Studies in health technology and informatics
We extracted major topic by applying natural language processing and keyword extracting using TF, TF-IDF, TextRank, Yake, KeyBERT. 1452 consultation data were collected from the website and official hospital e-mail. We found six topics categorized in...

Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods.

Studies in health technology and informatics
In health sciences, high-quality text embeddings may augment qualitative data analysis of large amounts of text by enabling, e.g., searching and clustering of health information. This study aimed to evaluate three different sentence-level embedding m...

Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome.

Studies in health technology and informatics
The wide adoption of Electronic Health Records (EHR) in hospitals provides unique opportunities for high throughput phenotyping of patients. The phenotype extraction from narrative reports can be performed by using either dictionary-based or data-dri...

Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Studies in health technology and informatics
Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requiring medical professionals to acquire a novel set of skills. We assessed the density of AI learning objectives and the availability of courses contain...

"ai4health" - Development and Conception of a Learning Programme in Higher and Continuing Education on the Fundamentals, Applications and Perspectives of AI in Healthcare.

Studies in health technology and informatics
AI applications play an increasingly important role in all areas of healthcare. Therefore, a basic understanding of AI technology for health professionals seems necessary. However, to date there is no learning programme in Germany that includes techn...