AI Medical Compendium

Perioperative blood loss in cardiac surgery: Validation of machine learning-derived clusters.

Perfusion Mar 26, 2026

BackgroundThere is no universally accepted definition of perioperative blood loss in cardiac surgery. Existing methods are based on chest tube output and are not normalised for patient weight.ObjectiveTo validate machine learning-derived blood loss s... read more

How does the implementation of AI-based automation of administrative tasks affect healthcare professionals' work? Study protocol for a longitudinal embedded case study in Swedish primary and specialist care.

BMJ open Mar 26, 2026

INTRODUCTION: Artificial intelligence (AI) is transforming healthcare through enhanced computational capabilities that process vast amounts of data with unprecedented speed and precision. AI-powered administrative systems hold significant promise for... read more

Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa.

BMJ open Mar 26, 2026

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decision support, disease surveillance and health system planning. While international guidance frameworks ... read more

Deep Learning-Based Method for Damage Severity Grading of Black Shell Disease in Hong Kong Oyster (Crassostrea hongkongensis) Caused by Polydora Complex.

Journal of fish diseases Mar 26, 2026

The Polydora complex is a globally widespread polychaete parasite known for secreting acidic substances to bore tunnels into oyster shells. This process leads to the formation of dark brown crusts on the inner shell surface, a condition commonly refe... read more

Incorporating valuable prior knowledge to improve deep learning prediction of genetic perturbation responses.

Genome research Mar 26, 2026

Genetic perturbation response prediction plays a critical role in virtual cell research, yet the performance of current deep learning models still leaves room for improvement. In this study, we present a prior-guided response inference model (PRIM) t... read more

Multitask Pretraining Framework for Improving Predictivity of Machine Learning Chemical Bioactivity Models for Low-Data Endpoints.

Chemical research in toxicology Mar 26, 2026

Computational models are crucial for rapid hazard screening of novel chemicals when time and resources are not available for laboratory assessment. The rise of machine learning (ML) methods powering quantitative structure-activity relationship (QSAR)... read more

Shapley Additive exPlanations-Integrated Convolutional Neural Networks for Chemically Interpretable Fourier-Transform Infrared-Based Microplastic Characterization.

Analytical chemistry Mar 26, 2026

Fourier-transform infrared (FTIR) spectroscopy is a widely adopted technique for microplastic (MP) identification due to its molecular sensitivity and nondestructive nature. However, many FTIR-machine learning (ML) approaches operate as black-box cla... read more

Computational Discovery of MERS-CoV Main Protease Inhibitors Through Screening and Molecular Dynamics Simulations.

Proteins Mar 26, 2026

Targeting the main protease (Mpro) of coronaviruses has emerged as a promising therapeutic strategy for combating viral infections. Despite the global health threat posed by Middle East Respiratory Syndrome Coronavirus (MERS-CoV), no vaccines or anti... read more

Navigating Teledermatology in the Post-COVID Era.

International journal of dermatology Mar 26, 2026

Teledermatology is increasingly used in European dermatology for triage, diagnosis, and workflow optimization, though artificial intelligence (AI) adoption remains limited. A survey of 252 dermatologists revealed variable usage, gaps in guidelines aw... read more

Bioinspired Sensory Transduction for Magnetic Profile Recognition and Encryption.

Advanced materials (Deerfield Beach, Fla.) Mar 26, 2026

In biological systems, adaptive responses to environmental stimuli are facilitated by sensory transduction, where receptors transform stimuli into dynamic intermediate electrical signals for further processing. For bioinspired artificial systems, thi... read more

Artificial Intelligence Medical Compendium