Artificial Intelligence Medical Compendium

The applications of new and emerging technologies in spine surgery are constantly expanding. Specifically, machine learning algorithms have seen a rise in utilization in clinical research, allowing for interpretation of large datasets that have the c... read more 

Investigating the transcriptional signatures of immune cells in various cancer types is crucial for understanding their roles in the tumor microenvironment and developing effective immunotherapeutic strategies. In this study, we employed machine lear... read more 

Nanozyme-based multichannel sensors integrated with machine learning (ML) often operate as "black boxes," lacking interpretability between analytical outputs and underlying molecular mechanisms. To address this, we developed a polyoxometalate-functio... read more 

As space exploration advances into the era of deep space exploration, humanity faces unprecedented challenges in maintaining astronaut health, not only during prolonged space travel but also in adapting to low-gravity environments, such as those on t... read more 

Protein foundation models (pFMs) have emerged as pivotal tools in advancing protein science. By leveraging advanced deep learning architectures trained on large-scale protein datasets, pFMs learn generalizable patterns in proteins, enabling accurate ... read more 

Bangladesh has diverse and vibrant cultural sports, some of which have gained international recognition in recent years. However, there is a lack of standardized datasets for deep learning and computer vision tasks. To address this gap, BD Sports-10 ... read more 

BACKGROUND: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a prevalent sleep disorder linked to brain alterations, but its brain network patterns and convenient screening methods remain unclear. This study aimed to characterize OSAHS functional... read more 

Accurate and efficient traffic flow prediction is essential for developing smart cities. Traffic flow data exhibits complex spatio-temporal dependencies, and the weights between nodes may change dynamically due to travel patterns and node attributes.... read more 

Early identification of mild cognitive impairment (MCI) progressing to Alzheimer's disease (AD) is of paramount importance. Despite the notable advances in deep learning in this domain, current approaches are largely based on global brain analysis an... read more 

BACKGROUND: Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue. While symptomatic links between NSSI and alterations in pain and social processing have been established, changes in neural responses and everyday r... read more