AI Medical Compendium

CottonGen 2025: a knowledgebase for cotton genomics, genetics, and breeding research.

Genetics Apr 4, 2026

CottonGen (https://www.cottongen.org) serves as an integrated genomics platform for the cotton research community, combining comprehensive data storage with sophisticated analysis tools built on the Tripal framework. Since its establishment in 2012, ... read more

Genome Database for Vaccinium: a knowledgebase for genetics, genomics, and breeding research.

Genetics Apr 4, 2026

The Genome Database for Vaccinium (GDV, https://www.vaccinium.org/) is a knowledgebase serving the global Vaccinium research community. GDV centralizes genetics, genomics, and breeding data for blueberry, cranberry, bilberry, and lingonberry. Launche... read more

Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning.

iScience Apr 4, 2026

Plague, caused by Yersinia pestis, persists as a public health threat, particularly in natural foci such as China's Inner Mongolia Autonomous Region. Understanding the distinct environmental drivers of pathogen transmission from wildlife reservoirs t... read more

Development and validation of a nomogram for predicting advanced chronic kidney disease.

iScience Apr 4, 2026

The objective of this study was to develop and validate a nomogram for predicting advanced chronic kidney disease (CKD) through the utilization of routine clinical parameters. To achieve this, we integrated internal and external datasets, employed LA... read more

From pollutant profiling to source attribution: An interpretable staged machine learning framework for sewer surveillance.

Journal of hazardous materials Apr 3, 2026

Illicit industrial discharges into urban sewer networks pose a severe threat to water security, yet source tracking is hindered by data scarcity within the network and model opacity. This study developed an interpretable framework for pollutant profi... read more

Integration of deep learning and radiomic features from multiplex immunohistochemistry images for reproducible Multi-Outcome prediction in a Multi-Center study of colorectal cancer.

International journal of medical informatics Apr 3, 2026

OBJECTIVE: To develop and validate a robust, multimodal machine learning framework integrating radiomic and deep learning features from multiplex immunohistochemistry (mIHC) images for comprehensive outcome prediction in colorectal cancer (CRC). MATE... read more

Predictive models for ICU patient readmission based on machine learning: A systematic review.

Journal of the Intensive Care Society Apr 3, 2026

BACKGROUND: Artificial intelligence (AI) prediction models can accurately identify high-risk populations by integrating multi-dimensional clinical data, providing decision support for doctors in formulating individualized discharge plans and optimizi... read more

Clinical decision support system for breathlessness.

Current opinion in supportive and palliative care Apr 3, 2026

PURPOSE OF REVIEW: This review summarizes high-level evidence on clinical decision support systems, both more classical rules-based and emerging artificial intelligence-based examples. It discusses their potential and concerns, how to evaluate them a... read more

When radiology stops being a specialty.

European journal of radiology Apr 3, 2026

Radiology has traditionally been defined as a distinct medical specialty centered on image interpretation. However, advances in imaging technology, artificial intelligence, and workflow integration are increasingly embedding imaging into broader clin... read more

From predictive accuracy to clinical utility: Model interpretability and the missing bone mineral density data.

Injury Apr 3, 2026

This letter to the editor commends the study by Liu et al. on their machine learning model for predicting rib fractures but highlights two crucial challenges for its clinical adoption: the lack of model interpretability, which hinders clinical trust,... read more

Artificial Intelligence Medical Compendium