AIMC Topic: Data Accuracy

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Influence on the accuracy in ChatGPT: Differences in the amount of information per medical field.

International journal of medical informatics Nov 3, 2023
OBJECTIVES: Although ChatGPT was not developed for medical use, there is growing interest in its use in medical fields. Understanding its capabilities and precautions for its use in the medical field is an urgent matter. We hypothesized that differen...
Risk Factors Data Accuracy Artificial Intelligence Humans
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Deep Generative Models: The winning key for large and easily accessible ECG datasets?

Computers in biology and medicine Nov 2, 2023
Large high-quality datasets are essential for building powerful artificial intelligence (AI) algorithms capable of supporting advancement in cardiac clinical research. However, researchers working with electrocardiogram (ECG) signals struggle to get ...
Heart Data Accuracy Electrocardiography Humans Algorithms Artificial Intelligence
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Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation.

IEEE transactions on bio-medical engineering Aug 30, 2023
OBJECTIVE: The scarcity of high-quality annotated data is omnipresent in machine learning. Especially in biomedical segmentation applications, experts need to spend a lot of their time into annotating due to the complexity. Hence, methods to reduce s...
Machine Learning Image Processing, Computer-Assisted Supervised Machine Learning Data Accuracy
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AI/ML in Precision Medicine: A Look Beyond the Hype.

Therapeutic innovation & regulatory science Jun 13, 2023
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, especially in drug discovery, digital imaging, disease diagnostics, genetic testing, and optimal care pathway (personalized care). However, the potential...
Machine Learning Precision Medicine Artificial Intelligence Data Accuracy Drug Discovery
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Analysis of Training Deep Learning Models for PCB Defect Detection.

Sensors (Basel, Switzerland) Mar 2, 2023
Recently, many companies have introduced automated defect detection methods for defect-free PCB manufacturing. In particular, deep learning-based image understanding methods are very widely used. In this study, we present an analysis of training deep...
Drug Contamination Commerce Industry Deep Learning Data Accuracy
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General Graph Neural Network-Based Model To Accurately Predict Cocrystal Density and Insight from Data Quality and Feature Representation.

Journal of chemical information and modeling Feb 3, 2023
Cocrystal engineering as an effective way to modify solid-state properties has inspired great interest from diverse material fields while cocrystal density is an important property closely correlated with the material function. In order to accurately...
Data Accuracy Neural Networks, Computer Software Machine Learning
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Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era.

IEEE reviews in biomedical engineering Jan 5, 2023
At the beginning of the COVID-19 pandemic, there was significant hype about the potential impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or surveillance. However, AI tools have not yet been widely success...
Artificial Intelligence Humans Data Accuracy Pandemics COVID-19 Algorithms
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An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information.

Artificial intelligence in medicine Nov 13, 2022
The primary goal of this research article is to apply ELECTRE I, a fundamental multi-criteria group decision-making technique, in an m-polar fuzzy N-soft environment. This new methodology helps us to pinpoint the best alternative(s) in the presence o...
Rehabilitation Centers Decision Making Data Accuracy Fuzzy Logic
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Effects of data quality and quantity on deep learning for protein-ligand binding affinity prediction.

Bioorganic & medicinal chemistry Sep 9, 2022
Prediction of protein-ligand binding affinities is crucial for computational drug discovery. A number of deep learning approaches have been developed in recent years to improve the accuracy of such affinity prediction. While the predicting power of t...
Proteins Deep Learning Data Accuracy Protein Binding Ligands Machine Learning
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Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?

BMC medical informatics and decision making Sep 9, 2022
BACKGROUND: Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these tools, and a match between the resulting AI tools and clinical/system needs in primary health care. T...
Artificial Intelligence Primary Health Care Clinical Competence Data Accuracy Software Humans
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