AI Medical Compendium

[Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].

Innere Medizin (Heidelberg, Germany) May 5, 2026

The use of artificial intelligence (AI) offers significant potential to increase efficiency in hospitals, particularly in the context of demographic change and staff shortages. Generative and agent-based AI enable the automation of complex clinical a... read more

Estimating soil organic carbon content in reclaimed mining areas using unmanned aerial vehicle multispectral remote sensing and deep learning algorithms.

Environmental monitoring and assessment May 5, 2026

Soil organic carbon (SOC) is a key indicator for assessing soil quality. Rapid and accurate acquisition of the spatial distribution of SOC content can guide production management in reclaimed farmland in mining areas. This study takes the Xinglongzhu... read more

Integrated source apportionment, ecological risk assessment, and machine learning-based human health risk evaluation of potentially toxic elements in stream sediments of Odisha, eastern India.

Environmental geochemistry and health May 5, 2026

Stream sediments, as long-term sinks for potentially toxic elements (PTEs), provide valuable insights into both natural and anthropogenic contamination. This study presents a comprehensive assessment of PTE contamination, ecological risk, and human h... read more

Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction.

Brain informatics May 5, 2026

The rapid evolution of machine learning (ML) methods has yielded promising results in human brain neuroscience. However, the reproducibility of ML applications in neuroimaging remains limited, challenging the generalizability of inferences to broader... read more

A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation.

Brain informatics May 5, 2026

This article presents a robust and efficient framework for brain tumor segmentation based on deep learning. We introduce a novel three-dimensional (3D) mass-preserving geometric transformation (MPGT) that employs a homotopy method to transform irregu... read more

The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association May 5, 2026

BACKGROUND: Tumour infiltrating lymphocytes (TILs) are a key component of the tumour microenvironment. To establish a clinically relevant TILs cut-off for patients with oesophago-gastric (OG) cancer, it is essential to know whether TILs density varie... read more

Regional Transport Constrains the Microphysical Response of Black Carbon to Short-Term Emission Controls.

Environmental science & technology May 5, 2026

Black carbon (BC) has strong influences on air quality and climate, yet its short-term microphysical response to abrupt emission reductions remains poorly constrained. Here, using single-particle observations and machine learning, we investigate how ... read more

Regional disparities and metabolic determinants of type 2 diabetes in women aged 55 and older.

Menopause (New York, N.Y.) May 5, 2026

OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for type 2 diabetes mellitus (T2DM) among women aged 55 years or above worldwide. METHODS: Using Global Burden of Disease 2023 data, we quantified incidenc... read more

Selecting assistive products - The power of the who International Classification of Functioning, Disability and Health (who ICF) to support decision making.

Assistive technology : the official journal of RESNA May 5, 2026

Assistive technology (AT) - that is, assistive products and skilled service provision - is critically important to optimize functioning for the billions who need it. Deciding what assistive product to select is a key service provision step and one th... read more

Compositionality and systematicity emerge from iterated learning in deep linear networks.

Proceedings of the National Academy of Sciences of the United States of America May 5, 2026

Humans have a remarkable ability to systematically generalize-reasoning about new situations by combining aspects of previous experiences. Language provides one of the primary examples of this ability and modern machine learning has drawn much inspir... read more

Artificial Intelligence Medical Compendium