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Artificial Intelligence in Medicine (Canada)
Artificial Intelligence in Medicine (Canada) – Unternehmen mit Aktivitäten in Forschung und Innovation.
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Biomarker Discovery for Precision Medicine: an Artificial Intelligence based approach.
Biomarker development is essential in modern health care, especially in individualization of treatments and precision medicine. O… Beitrag ansehen →
Projekt
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Biomarker Discovery for Precision Medicine: an Artificial Intelligence based approach.
Biomarker development is essential in modern health care, especially in individualization of treatments and precision medicine. O… Beitrag ansehen →
Projekt
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PRecisiOn medicine in CAD patients: artificial intelliGence for integRated gEnomic, functional and anatomical aSSessment of the coronary collateral circulation
Coronary artery disease (CAD) is a major burden for patients and health care systems worldwide. The most common cause of CAD is a… Beitrag ansehen →
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Artificial Intelligence for All
With the current rapid growth of AI research and applications, there are both unprecedented opportunities and legitimate worries… Beitrag ansehen →
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Accelerated Discovery of Optical Materials by Artificial Intelligence
The discovery of new optical materials for the next generation of technologies is crucial for economic and societal issues. In pa… Beitrag ansehen →
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Artificial Intelligence foR Semantically controlled SPEech UndeRstanding
Artificial Intelligence (AI) is of national strategic importance due to the impressive results of deep learning algorithms in dif… Beitrag ansehen →
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Forschungsprojekte
- Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization Large-scale hyperparameter optimization (HPO) in automated machine learning (AutoML) consumes substantial com… →
- FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection Interpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR… →
- Using predictive multiplicity to measure individual performance within the AI Act When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity… →
- Improving Industrial Anomaly Clustering via Heatmap-Based Multi-Scale Views 108492 →
- A novel method of bayesian genetic optimization on automated hyperparameter tuning This paper presents a novel approach that integrates Symbolic Genetic Programming (SGP) with Bayesian techniq… →
- Higher Education Under Generative AI: Biographical Orientations of Democratic Learning and Teaching Generative artificial intelligence (AI) is reshaping higher education (HE) by reconfiguring how knowledge bec… →
- Democratic Didactics in Digitalized Higher Education: The DEA Framework for Teaching and Learning Higher education (HE) has become a central site where the relations between democracy, pedagogy and technolog… →
- A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines Recent advancements in artificial intelligence (AI) and the vast data generated by modern clinical systems ha… →
- Deep Learning-Based Classification of Comments and Reviews for Sustainable Development Goals (SDGs) with Web Application Implementation This work aims to develop an intelligent system that leverages natural language processing (NLP) and deep lea… →
- Deep Learning in Stance Detection: A Survey The analysis of an author’s perspective on a given topic within text presents a challenging problem in natura… →