AI Medical Compendium

The water footprint of artificial intelligence: Emerging solutions and governance imperatives.

Water research Apr 2, 2026

Artificial intelligence (AI) is increasingly run on high-density computing infrastructure, yet its environmental footprint is still assessed mainly through electricity use and associated greenhouse-gas emissions. A critical, less visible dimension is... read more

Non-invasive classification of coronary perfusion pressure during CPR using smartphone-based skin video and deep learning.

Computer methods and programs in biomedicine Apr 2, 2026

BACKGROUND AND OBJECTIVE: Coronary perfusion pressure (CPP) is an important determinant of myocardial blood flow and an indicator during cardiopulmonary resuscitation (CPR). However, conventional CPP monitoring methods are invasive and unsuitable for... read more

Beyond block time: a head-to-head comparison of reinforcement learning, genetic algorithms, and predict-then-optimize scheduling for operating room workflow using discrete-event simulation.

International journal of medical informatics Apr 2, 2026

BACKGROUND: Operating room (OR) inefficiency persists despite decades of process improvement, largely due to stochastic case durations, emergency disruptions, and resource coupling across pre-, intra-, and postoperative steps. While artificial intell... read more

Using natural language processing to assess MDD psychotherapy patterns among Veterans Affairs patients with suicide risk.

Psychiatry research Apr 2, 2026

Major depressive disorder (MDD) is a leading risk factor for suicide. Within the US Department of Veterans Affairs (VA), psychotherapy is widely used to treat MDD and prevent suicide. Little is known about how classified suicide risk impacts this tre... read more

Prediction of post-stroke brain swelling using biomechanical modelling and deep neural networks.

Medical image analysis Apr 2, 2026

Malignant stroke is a life-threatening condition, with mortality rates reaching up to 80% among patients managed conservatively. Brain swelling volume and midline shift are pivotal clinical markers for predicting stroke outcomes. However, brain oedem... read more

Laccase- and peroxidase-like synergy-driven Cu-MOF nanozyme sensor array for high-throughput screening of phenolic pollutants.

Talanta Apr 2, 2026

Phenols are widespread high-risk environmental contaminants that exhibit structural diversity and vary in toxicity and environmental risk with substituent changes. Therefore, efficient methods for screening multiple phenols are urgently needed. Here,... read more

Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.

Science China. Life sciences Apr 2, 2026

The human microbiome is a dynamic ecosystem that profoundly influences host physiology through complex molecular interactions. Advances in high-throughput profiling now enable multi-omics measurements at scale, yet integration remains difficult due t... read more

Optimal reactive power dispatch based on a multitask-assisted constrained multimodal multi-objective evolutionary algorithm.

iScience Apr 2, 2026

In modern power systems, multi-objective optimal reactive power dispatch is crucial for reducing power loss while maintaining bus voltage stability. However, gaps in multimodal feature mining and multi-objective decision-making demand further progres... read more

Detecting positive selection by modeling structure within images of genetic variation.

Genome biology and evolution Apr 2, 2026

A major challenge in population genomics is accurately identifying and characterizing natural selection from genomic data. The wide availability of dense whole-genome datasets has enabled researchers to analyze and localize genetic variation within p... read more

Brain Tumor Classification and Severity Identification Using Deep Convolutional Spiking U-Net Lyrebird Neural Network and Alpha Piecewise Linear-Fuzzy.

Cancer biotherapy & radiopharmaceuticals Apr 2, 2026

Purpose: To develop a robust framework that accurately classifies brain tumors and provides an estimation of their severity using an artificial intelligence approach to solve issues related to multimodal MRIs (Magnetic Resonance Imaging), such as res... read more

Artificial Intelligence Medical Compendium