Recent Articles

Open access

ISSN: 2950-1628

Significant enhancement of occluded segment on magnetic resonance imaging predicts severe stenosis in atherosclerotic occlusion

The difficulty of recanalization for intracranial atherosclerosis–related large vessel occlusion (ICAS-LVO) is closely related to the severity of stenosis. This study sought to investigate the characteristics...

Share article

Extracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling data

Functional connectivity in the brain is often studied with blood oxygenation level dependent (BOLD) resting state functional magnetic resonance imaging (rsfMRI), but the BOLD signal is several steps...

Share article

A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, a state-of-the-art...

Share article

Medicine-engineering interdisciplinary researches for addiction: Opportunities and challenges

Advances in neuroscience have suggested that addiction is not only an ongoing dynamic transaction between the person, their behavior, and the environment, but a disturbance of neurotransmitters in neurons...

Share article

When brain-inspired AI meets AGI

Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AGI...

Share article

Application of omics-based biomarkers in substance use disorders

Substance use disorder (SUD) is a type of addictive encephalopathy resulting from drug abuse, which leads to abnormal cerebral alterations indicating neurotoxicity that is manifested through various...

Share article

A review of uncertainty estimation and its application in medical imaging

The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness...

Share article

The impact of ChatGPT and LLMs on medical imaging stakeholders: Perspectives and use cases

This study investigates the transformative potential of Large Language Models (LLMs), such as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which possess remarkable...

Share article

Deep learning-based rigid motion correction for magnetic resonance imaging: A survey

Physiological and physical motions of the subjects, e.g., patients, are the primary sources of image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring, low signal-to-noise...

Share article

Vision transformers in multi-modal brain tumor MRI segmentation: A review

Brain tumors have shown extreme mortality and increasing incidence during recent years, which bring enormous challenges for the timely diagnosis and effective treatment of brain tumors. Concretely,...

Share article

Engineering exosomes as nanocarriers traverse the blood-brain barrier for theranostics against glioblastoma: Opportunities and challenges

Schematic illustration of exosome-based nanoplatforms in the utilized in delivering nano theranostics agents to the central nervous system.Image 1...

Share article

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.