Artificial Intelligence Medical Compendium

Cortisol levels provide valuable information regarding physiological stress and abnormalities associated with endocrine and mental health disorders. In this study, an AuNPs/CNT-modified electrochemical aptasensor integrated with machine learning was ... read more 

An orientation-dependent regulatory mechanism whereby gold (Au) clusters influence the excited-state intramolecular proton transfer (ESIPT) process in biomolecules is revealed for the first time in this study. Using alanine (ALA) as a model system wi... read more 

NCT04961060. read more 

The widespread use of lithium (Li) has resulted in lithium-ion (Li+) contamination across a wide range of concentrations in the environment, posing potential risks to environmental safety and ecological health. However, the accurate and reliable quan... read more 

Raman spectroscopy is a promising tool for microbial identification, yet its implementation in microbiology and clinical workflow is still restricted due to the accompanying additional preparation required to focus on microbial signals. Here, we demo... read more 

BACKGROUND: Multiple system atrophy (MSA) is frequently misdiagnosed as Parkinson's disease (PD) or progressive supranuclear palsy (PSP), posing significant diagnostic challenges. OBJECTIVE: The aim of the study was to systematically evaluate the eff... read more 

Developmental dyslexia affects Chinese children's reading development, and school-based risk screening may help identify children who require further assessment and support. However, interpretable screening-oriented models remain limited by small sam... read more 

OBJECTIVE: Clinician trust in artificial intelligence (AI) is a frequently cited barrier to adoption, yet there is limited empirical evidence on how transparency features influence trust. This study aimed to address this evidence gap. MATERIALS AND M... read more 

This review examines the forensic applications, advantages, and limitations of key spectroscopic techniques, including Raman, infrared (IR), near-infrared (NIR), nuclear magnetic resonance (NMR), X-ray fluorescence (XRF), and mass spectrometry, in cr... read more 

Large language models are very good at providing concise answers. But if we only see the answer without knowing the original question or the context behind it, that answer may not be very useful. The important issue is not simply how much information... read more