Artificial Intelligence Medical Compendium

Clinical reasoning is a foundational competency that develops over the course of training and comprises two sub-components. Diagnostic reasoning classifies a patient's condition and assigns a diagnostic label, whereas management reasoning weighs mult... read more 

As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras. Recently, with the development of deep learning, significant advancements have been made in object ReID. However, most ex... read more 

Temporal processing is fundamental for biological and artificial intelligence systems, as it enables the comprehension of dynamic environments and facilitates timely responses. Spiking neural networks (SNNs) are well-suited for efficient temporal pro... read more 

Accurate hemodynamic assessment is of significant clinical value in the diagnosis, prognosis, and treatment planning of cardiovascular and cerebrovascular diseases. However, obtaining noninvasive, rapid, and high-fidelity hemodynamic information rema... read more 

OBJECTIVE: While neurosurgical treatment is the primary intervention for Drug-resistant epilepsy (DRE) patients, its success rate is limited to approximately 60%. Precise localization of epileptogenic zone (EZ) is a critical factor for surgical succe... read more 

BackgroundObjective surgical skill evaluation remains challenging in robotic-assisted surgery. Existing artificial intelligence frameworks often depend on robotic telemetry or "black-box" deep learning models that reduce interpretability and translat... read more 

Prostate cancer remains the most common cancer diagnosed in men in the UK. The adoption of pre-biopsy multiparametric MRI (mpMRI) has improved diagnostic stratification, although it has concurrently increased the burden on radiology services. Artific... read more 

The 12-lead ECG is central to the evaluation of patients with suspected coronary artery disease (CAD) but has limited diagnostic accuracy for identifying significant obstructive disease prior to elective coronary angiography. We previously developed ... read more 

Individual identification and tracking of leopards (Panthera pardus) are critical for conserving wild populations and understanding their behavioral ecology. Current methods primarily rely on manual coat pattern matching, which is inefficient for lar... read more 

There are over five-hundred-thousand individuals with recorded dementia diagnoses in England, highlighting an urgent need for scalable and effective care solutions to ease pressure on health and social care systems. Artificial Intelligence (AI)-enabl... read more