Resources

Automatic medical report generation (MRG) towards describing life-threatening lesions from given medical images, such as Chest X-ray and Fundus Fluorescein Angiography (FFA), has been a long-standing research topic in machine learning and automatic …

BUT QDB is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating ECG quality. The data comprises 18 long-term recordings of single-lead ECGs and associated…

Precise pain assessment is essential for medical professionals to provide appropriate treatment. However, not every patient can verbalize their pain due to various reasons, such as speech disorders or language barriers. In these cases, medical pract…

Cardiomegaly is a condition characterized by an abnormal enlargement of the heart, its identification is of paramount importance as it associate with a wide range of cardiac conditions. It is primary identified via the cardiothoracic ratio (CTR), ho…

Breast cancer is one of the most common types of cancer among women, leading to a growing and essential need for early and precise detection. A variety of machine learning techniques have been demonstrating great promise in improving diagnostic accu…

Automatically generated radiology reports often receive high scores from existing evaluation metrics but fail to earn clinicians' trust. This gap reveals fundamental flaws in how current metrics assess the quality of generated reports. We rethink th…

EHRNote-ChatQA is a benchmark for evidence-grounded, multi-turn clinical question answering over longitudinal discharge summaries. Derived from de-identified MIMIC-IV data, it contains 967 patient-level samples covering one to five discharge summari…

The publicly available MAMA-MIA breast dynamic contrast-enhanced magnetic resonance imaging (MRI) dataset has become an important resource for artificial intelligence (AI) research on breast cancer, particularly for tumor detection and predicting pa…

We present an extended version of the CheXmask dataset, augmenting the original anatomical segmentation masks of chest X-rays with node-wise uncertainty estimates. The dataset retains the comprehensive coverage of five public sources—ChestX-ray8, Ch…

Sleep is an intrinsic part of human life, and recent advancements in wearable technology and machine learning have promised continuous and non-invasive methods of tracking sleep health and patterns, providing an important facet to a more holistic un…