Resources

A recent study showed that infrared (IR) sensors may be prone to calibration discrepancies among darker-pigmented patients. Similar disparities have already been verified in pulse oximetry. This raises questions about whether thermometry measurement…

Medical Visual Question Answering (VQA) is an important task in medical multi-modal Large Language Models (LLMs), aiming to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficien…

Retrospective medical data collection is essential for advancing patient care, offering insights and supporting the development of health technology. The Medical Information Mart for Intensive Care (MIMIC)-III database has been instrumental in provi…

Medical decisions directly impact individuals’ health and well-being. Extracting decision spans from clinical notes plays a crucial role in understanding medical decision-making processes. The MedDec dataset includes expert-annotated decisions of te…

Oral diseases affect nearly 3.5 billion people, with the majority residing in low- and middle-income countries. Due to limited healthcare resources, many individuals are unable to access proper oral healthcare services. Image-based machine learning …

The wide adoption of pulse oximeters has given clinicians an easy, non-invasive way to measure arterial oxygen saturation. However, evidence suggests that pulse oximeter measurements have a deeper discrepancy in patients of darker skin tones compare…

Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical decision-making, but their length and complexity make information extraction challenging, especially when dealing with accumulated summaries across multiple patient adm…

Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, while incidence and worldwide burden are further increasing. In the era of digital health transformation, smart devices and mobile sensors, including smartphones and smar…

RadCoref is a small subset of MIMIC-CXR with manually annotated coreference mentions and clusters. The dataset is annotated by a panel of three cross-disciplinary experts with experience in clinical data processing following the i2b2 annotation sche…

Automatically summarizing patients’ main problems from the daily care notes in the electronic health record can help mitigate information and cognitive overload for clinicians and provide augmented intelligence via computerized diagnostic decision s…