AIMC Topic: Artificial Intelligence

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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...

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...

Scaling AI Projects for Radiology - Causes and Consequences.

Studies in health technology and informatics
Artificial intelligence (AI) for radiology has the potential to handle an ever-increasing volume of imaging examinations. However, the implementation of AI for clinical practice has not lived up to expectations. We suggest that a key problem with AI ...

User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

Studies in health technology and informatics
The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain a positive impact on the diagnosis pathway. We evaluated user satisfaction with an AI system for the automated detection of findings in chest x-rays, ...

Towards the Application of Machine Learning in Emergency Informatics.

Studies in health technology and informatics
Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid response and immediate care are considered in agile emergency care. Artificial intelligence (AI) and informatics have been applied to fulfill these r...

Potential for Machine Learning in Burn Care.

Journal of burn care & research : official publication of the American Burn Association
Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and treatment have been demonstrated to reduce the morbidity and mortality. This essay explores the forms of artificial intelligence to be implemented the fi...

The Digital Transformation of Mental Health Care and Psychotherapy - A Market and Research Maturity Analysis.

Studies in health technology and informatics
Digital technology trends for mental health, instantiated with only emerging use cases or already established applications, offer significant potential to improve clinical therapy and care. In this paper, we identify five major trends, mHealth/eHealt...

3DGT-DDI: 3D graph and text based neural network for drug-drug interaction prediction.

Briefings in bioinformatics
MOTIVATION: Drug-drug interactions (DDIs) occur during the combination of drugs. Identifying potential DDI helps us to study the mechanism behind the combination medication or adverse reactions so as to avoid the side effects. Although many artificia...