Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention
<p dir="ltr">Artificial Intelligence (AI) has gained huge attention in computer-aided decision-making in the healthcare domain. Many novel AI methods have been developed for disease diagnosis and prognosis which may support in the prevention of disease. Most diseases can be cured ear...
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2024
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| Summary: | <p dir="ltr">Artificial Intelligence (AI) has gained huge attention in computer-aided decision-making in the healthcare domain. Many novel AI methods have been developed for disease diagnosis and prognosis which may support in the prevention of disease. Most diseases can be cured early and managed better if timely diagnosis is made. The AI models can aid clinical diagnosis; thus, they make the processes more efficient by reducing the workload of physicians, nurses, radiologists, and others. However, the majority of AI methods rely on the use of single-modality data.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Radiology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fradi.2023.1349830" target="_blank">https://dx.doi.org/10.3389/fradi.2023.1349830</a></p> |
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