Artificial Intelligence Medical Compendium

Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide due to its late-stage diagnosis and progressive metastatic behavior. In this research, surface-enhanced Raman spectroscopy (SERS) coupled with artificial intellige... read more 

The rapid development of the Internet of Things and artificial intelligence has sharply increased the demand for secure, low-cost, and scalable anticounterfeiting technologies. Physical unclonable functions (PUFs) offer intrinsic protection by conver... read more 

OBJECTIVE: Artificial intelligence is increasingly applied in paediatric cardiology and cardiac intensive care, where CHD, postoperative physiologic instability, and continuous bedside monitoring generate complex datasets. This review summarises curr... read more 

BACKGROUND: Pulsed field ablation is now widely used for atrial fibrillation (AF) ablation, but atrial tachyarrhythmia recurrence remains common and postablation risk tools are limited. We assessed whether a validated sinus‑rhythm artificial intellig... read more 

Wearable technologies are increasingly used to support cardiovascular care by enabling continuous physiological monitoring beyond conventional clinical environments. Advances in consumer and medical-grade devices have expanded cardiovascular surveill... read more 

INTRODUCTION: Anxiety disorders are among the most prevalent psychiatric conditions worldwide, yet the development of novel anxiolytic therapies remains limited by poor translational success and the complexity of anxiety neurobiology. Zebrafish (Dani... read more 

OBJECTIVE: Persistent endoleak after endovascular abdominal aortic aneurysm repair (EVAR) reflects ongoing aneurysm sac biological activity and remains insufficiently predicted by anatomical surveillance alone. We aimed to evaluate whether integratio... read more 

The increasing prevalence of opioid misuse, substance abuse, and drug addiction, and the rapid emergence of highly potent synthetic analogues have intensified the demand for rapid, sensitive and decentralized analytical technologies for opioid monito... read more 

BACKGROUND: The American Medical Association (AMA) recommends patient education materials (PEMs) be written at a sixth-grade level to ensure accessibility. This study aims to compare hand surgery topics from the American Society for Surgery of the Ha... read more 

With the rapid growth of artificial intelligence, conventional von Neumann architectures face increasing limitations arising from memory-processor separation, high data-transfer latency, and power consumption. Memristive devices offer a promising rou... read more