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Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making

Emmanuel Abbé, Ntorina Thanou, Mehdi Ali Gadiri
2023
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Emmanuel Abbé, Ntorina Thanou, Mehdi Ali Gadiri
2023
Journal Articles

Official source

Related publications (6)

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Related publications (6)

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

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Recent progress in computer vision has been driven by a simple yet transformative observation: the potential of 30-year-old neural networks can be unlocked by massively scaling their parameters and the amount of human-labeled training data. This breakthrou ...

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Abstract IA02: Cancer-specific foundation models: Friend or foe in healthcare AI?

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Foundation models have become a powerful tool in single-cell transcriptomics, enabling broad generalization across tasks such as cell type annotation, data integration, and drug response prediction. Yet, most current models are trained predominantly on hea ...

American Association for Cancer Research (AACR)2025

Leveraging large language models for predictive chemistry

Berend Smit, Philippe Schwaller, Kevin Maik Jablonka, Andres Adolfo Ortega Guerrero

Machine learning has transformed many fields and has recently found applications in chemistry and materials science. The small datasets commonly found in chemistry sparked the development of sophisticated machine learning approaches that incorporate chemic ...

Nature Portfolio2024