Artificial Intelligence Medical Compendium

Lung sound analysis is critical for diagnosing respiratory diseases such as asthma, bronchiectasis, bronchiolitis, COPD, LRTI, pneumonia, and URTI. Traditional diagnostic methods rely heavily on physicians' expertise, making them time-consuming and s... read more 

Instrumented gait analysis has traditionally been isolated to laboratory, marker-based optoelectronic motion capture systems, which limits clinical uptake. Markerless motion capture (MMC) systems driven by trained machine learning algorithms offer hi... read more 

BACKGROUND: Pancreatic adenocarcinoma (PDAC) remains one of the most lethal types of cancer, characterized by its unspecific symptoms, aggressive nature and late-stage diagnosis. PATIENTS AND METHODS: In this study, Machine Learning (ML) models were ... read more 

In recent years, there has been a surge in malicious software packages on the open-source PyPI software package registry. Given the vast number of software packages and frequent updates on PyPI, existing detection methods based on dynamic analysis or... read more 

Model predictive control (MPC) improves the use of the hydraulic capacity of an urban drainage network with online optimization, thus reducing overflow and flooding. However, its applicability is hindered by the heavy computational burden of repetiti... read more 

OBJECTIVE: This study examined global research trends in Radiology, Nuclear Medicine, and Medical Imaging by analyzing the 500 most-cited articles in the Web of Science (WoS) Core Collection. METHODS: A bibliometric search was conducted on June 15, 2... read more 

Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cellular and tissue-level insights, thereby enhancing pathological diagnosis accuracy and biomarker detection. Additionally, WSI contributes essential in... read more 

A single scent can unlock vivid memories. This study investigates the factors that make some odors more evocative than others. We examined odor-evoked episodic memory in 106 participants who experienced odors embedded in distinct visuospatial context... read more 

Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemoradiotherapy (nCRT), but only a minority of patients achieve a pathological complete response (pCR). Predictive biomarkers of response could help guide treatment decisions, yet no... read more 

This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The proposed approach combines ten hybrid CNN-Vision Transformer (ViT) models with a meta-learning ense... read more