AIMC Journal:
Studies in health technology and informatics

Showing 651 to 660 of 1278 articles

Federated Learning in Healthcare: A Privacy Preserving Approach.

Studies in health technology and informatics
A need to enhance healthcare sector amidst pandemic arises. Many technological developments in Artificial Intelligence (AI) are being constantly leveraged in different fields of healthcare. One such advancement, Federated Learning(FL) has acquired re...

Robust Random Forest-Based All-Relevant Feature Ranks for Trustworthy AI.

Studies in health technology and informatics
Feature selection is a fundamental challenge in machine learning. For instance in bioinformatics, it is essential when one wishes to detect biomarkers. Tree-based methods are predominantly used for this purpose. In this paper, we study the stability ...

Explainable Artificial Intelligence in Ambulatory Digital Dementia Screenings.

Studies in health technology and informatics
Recently, digital apps have entered the market to enable the early diagnosis of dementia by offering digital dementia screenings. Some of these apps use Machine Learning (ML) to predict cognitive impairment. The aim of this work is to find explanatio...

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain.

Studies in health technology and informatics
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv...

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.

Studies in health technology and informatics
Machine learning algorithms become increasingly prevalent in the field of medicine, as they offer the ability to recognize patterns in complex medical data. Especially in this sensitive area, the active usage of a mostly black box is a controversial ...

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI.

Studies in health technology and informatics
Type 2 diabetes mellitus is a metabolic disorder of glucose management, whose prevalence is increasing inexorably worldwide. Adherence to therapies, along with a healthy lifestyle can help prevent the onset of disease. This preliminary study proposes...

Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record.

Studies in health technology and informatics
Cancer recurrence is the diagnosis of a second clinical episode of cancer after the first was considered cured. Identifying patients who had experienced cancer recurrence is an important task as it can be used to compare treatment effectiveness, meas...

Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases.

Studies in health technology and informatics
In many countries, the management of cancer patients must be discussed in multidisciplinary tumor boards (MTBs). These meetings have been introduced to provide a collaborative and multidisciplinary approach to cancer care. However, the benefits of MT...

Attitudes and Acceptance Towards Artificial Intelligence in Medical Care.

Studies in health technology and informatics
BACKGROUND: Artificial intelligence (AI) in medicine is a very topical issue. As far as the attitudes and perspectives of the different stakeholders in healthcare are concerned, there is still much to be explored.

MISeval: A Metric Library for Medical Image Segmentation Evaluation.

Studies in health technology and informatics
Correct performance assessment is crucial for evaluating modern artificial intelligence algorithms in medicine like deep-learning based medical image segmentation models. However, there is no universal metric library in Python for standardized and re...