Artificial Intelligence Medical Compendium

This dataset comprises over 55,000 simulation samples of a microstrip patch antenna engineered for operation near the 2.4 GHz frequency band-a key spectrum for wireless communication and IoT applications. Each sample records S11 reflection coefficien... read more 

OBJECTIVE: To compare acceptability of 2 artificial intelligence (AI) use cases in the English National Health Servic Breast Screening Program. PATIENTS AND METHODS: From February 7 to March 14 2024, we conducted an online survey, randomizing partici... read more 

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia affecting over 50 million individuals worldwide, with serious complications including stroke and heart failure. Detecting AF in patients who present with normal sinus rhythm (SR) is still an ... read more 

OBJECTIVE: Reticular pseudodrusen (RPD) represent an important biomarker in age-related macular degeneration (AMD) but are difficult to grade and often assessed only for presence or absence, without quantitative or spatial analysis of RPD burden. The... read more 

Antimicrobial peptides (AMPs)-mimicking antimicrobial polymers show great potential as therapeutic alternatives to antibiotics in the looming "post-antibiotic era". However, the discovery of new AMP-mimicking antimicrobial polymers is challenging due... read more 

Understanding alterations in functional connectivity among individuals with substance use disorder (SUD) is critical for elucidating the neural mechanisms underlying addiction. In this study, we applied Energy Landscape Analysis (ELA), an energy-base... read more 

As a central pathological process in aging and chronic diseases, oxidative stress (OS) stems from redox imbalance and propagates cellular damage through tightly linked signaling networks. Traditional functional food approaches, which focus on single-... read more 

Conventional drug therapies face significant limitations in complex physiological environments, including poor targeting efficiency, passive diffusion mechanisms, and systemic toxicity. Inspired by the immune system, where immune cells are actively n... read more 

Dynamic property of neural networks can enable the structure or parameters to adapt to the different input data, resulting in substantial improvements in terms of computational efficiency, model accuracy, and adaptability. However, due to the inevita... read more 

Early detection of cancer remains a key challenge in clinical diagnosis. This study explored two serum sample-based early cancer screening methods: one based on biochemical parameters and the other based on infrared spectroscopy data, and combined th... read more