AIMC Journal:
Studies in health technology and informatics

Showing 521 to 530 of 1278 articles

How Good Is ChatGPT for Medication Evidence Synthesis?

Studies in health technology and informatics
With its seeming competence to mimic human responses, ChatGPT, an emerging AI-powered chatbot, has spurred great interest. This study aims to explore the role of ChatGPT in synthesizing medication literature and compare it with a hybrid summarization...

Tracking of Nutritional Intake Using Artificial Intelligence.

Studies in health technology and informatics
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...

Client-Side Application of Deep Learning Models Through Teleradiology.

Studies in health technology and informatics
Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in...

Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG.

Studies in health technology and informatics
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their data-driven character, they bear the potential to handle signal noise ...

Can Synthetic Images Improve CNN Performance in Wound Image Classification?

Studies in health technology and informatics
For artificial intelligence (AI) based systems to become clinically relevant, they must perform well. Machine Learning (ML) based AI systems require a large amount of labelled training data to achieve this level. In cases of a shortage of such large ...

Prediction of Mental Health Support of Employee Perceiving by Using Machine Learning Methods.

Studies in health technology and informatics
Employees' mental health addresses concerns in the technology industry phenomenon. Machine Learning (ML) approaches show promise in predicting mental health problems and identifying related factors. This study used three machine learning models on OS...

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

Studies in health technology and informatics
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsupervised machine learning. The cluster with the highest proportion of successful treatment outcomes w...

Clustering Similar Diagnosis Terms.

Studies in health technology and informatics
A large clinical diagnosis list is explored with the goal to cluster syntactic variants. A string similarity heuristic is compared with a deep learning-based approach. Levenshtein distance (LD) applied to common words only (not tolerating deviations ...

Announcement of the German Medical Text Corpus Project (GeMTeX).

Studies in health technology and informatics
The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of...

Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling.

Studies in health technology and informatics
Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics of the relevant domain an...