Artificial Intelligence Medical Compendium

This dataset provides micro-particle image velocimetry (µPIV) and high-speed imaging of red blood cell (RBC) suspensions flowing through circular glass microchannels with inner diameters of 25 µm and 50 µm. Suspensions were prepared in phosphate-buff... read more 

Alzheimer's disease (AD) is a degenerative neurological disease that progresses over time, making early detection crucial for effective intervention and better patient prognosis. Traditional diagnostic methods such as cognitive assessments, neuroimag... read more 

Carnatic music, a major form of South Indian classical tradition, offers rich potential for computational and musicological research. While datasets like CompMusic Carnatic Corpus, GTZAN, RAVDESS, IEMOCAP, EMODB, SAVEE, Saraga, and CMDB have advanced... read more 

INTRODUCTION: This study integrated structural magnetic resonance imaging (sMRI) of the brain with clinical characteristics to identify the "vulnerable brain regions" and risk factors associated with the development of postherpetic neuralgia (PHN) in... read more 

Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to ... read more 

Current policies regarding artificial intelligence (AI) technology are facing difficulty to keep pace with its rapid development in healthcare due to the complexities involved in regulating this dynamic field. Similar to any pioneering technology, th... read more 

Mild traumatic brain injury typically produces no abnormalities on neuroimaging yet elicits symptoms that, in an increasing fraction of survivors, linger for years, particularly with recurring injuries. To elucidate the underlying biological substrat... read more 

With the advent of novel cancer treatment options such as immunotherapy, studying the tumour immune micro-environment (TIME) is crucial to inform on prognosis and understand potential response to therapeutic agents. A key approach to characterising t... read more 

The growing demand for efficient temporal processing has highlighted the limitations of von Neumann architectures, making photonic time-delay reservoir computing (TDRC) an attractive alternative. We develop a stochastic modeling framework for semicon... read more 

PURPOSE: To evaluate the impact of an artificial intelligence (AI)-assisted computer-aided detection (CAD) system on the diagnostic accuracy and confidence in chest radiograph interpretation among nonthoracic radiologists and radiology residents with... read more