Deep learning

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News • Deep learning CAD in sonography

Computer-aided diagnosis improves breast ultrasound expertise

A new study suggests that deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound can significantly improve radiologists' diagnostic performance.

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News • Identification of stroke cases

AI tool outperforms human emergency call handlers

A team of researchers from Denmark have developed a new AI framework to address the number of strokes that go unrecognised by human emergency call handlers.

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News • AI milestone

ChatGPT-4 passes radiology board exam

The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models but also revealing limitations that hinder reliability, new research shows.

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News • Vaccination

Predicting mRNA degradation to improve vaccine stability

Messenger Ribonucleic Acid (mRNA) as a therapeutic approach is gaining momentum due to its ability to be rapidly manufactured and its promising outcomes.

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News • Deep learning text-to-image

Can AI image generator DALL-E 2 advance radiology?

A new paper describes how generative AI text-to-image models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation in health care.

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News • Primary tumor or metastasis?

Deep learning and radiomics for precise differentiation in brain tumors

The distinction between primary tumors and metastases can be made quickly and accurately in brain tumors using radiomics and deep learning algorithms, a new study shows.

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Supervised learning approach

A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma

The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.

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Article • AI provides prognostic information

Next-generation deep learning models predict cancer survival

Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…

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