AI Medical Compendium

Architectural and translational perspectives on clinical decision support systems for rare disease diagnosis: a scoping review.

International journal of medical informatics Apr 16, 2026

BACKGROUND: Rare diseases remain difficult to diagnose because of phenotypic heterogeneity, limited clinical familiarity, and fragmented health data infrastructures. Clinical decision support systems (CDSS) have emerged as promising tools to support ... read more

ISDR-Net: Interpretable Self-Supervised Differentiable Rendering Network for monocular dynamic sensor-head pose tracking and registration.

Medical image analysis Apr 16, 2026

Magnetoencephalography (MEG) offers high temporal and spatial resolution for clinical and neuroscience applications. Traditional sensor registration methods depend on complex point cloud reconstruction, which is error-prone, labor-intensive, and lack... read more

Geometry parameters estimation in Monte Carlo simulation using machine learning.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 16, 2026

This study investigates the application of Artificial Neural Networks (ANNs) to estimate geometry parameters in Monte Carlo simulations of High Purity Germanium (HPGe) detectors. The Comprehensive Nuclear-Test-Ban Treaty Organization utilizes HPGe de... read more

[The use of artificial intelligence tools in the perception of electroradiologists].

Medycyna pracy Apr 16, 2026

BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in diagnostic imaging, helping specialists improve the quality and speed of medical services. Despite the potential of AI, electroradiologists express concerns about a... read more

Comment on "A Longitudinal Analysis of the Usefulness, Readability, Consistency, and Capacity of Artificial Intelligence Chatbot Responses Regarding the Reality of Chronic Pain in Children".

Paediatric & neonatal pain Apr 16, 2026

Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.

International journal of medical informatics Apr 16, 2026

BACKGROUND AND OBJECTIVE: Accurate prediction of mortality risk after cardiac surgery is crucial for perioperative management. The laboratory-based frailty index (FI-lab) has been associated with adverse outcomes after surgery, but its predictive val... read more

Echo-SMADS: A hierarchical planning model for predicting ejection fraction using echocardiography.

Computer methods and programs in biomedicine Apr 16, 2026

BACKGROUND AND OBJECTIVE: Current deep learning approaches for predicting ejection fraction primarily rely on end-to-end regression. While effective in certain cases, these methods often lack intermediate structural foundations and limit the interpre... read more

Synergizing Genome Editing and Artificial Intelligence for Predictive Crop Design.

Molecular plant Apr 16, 2026

The convergence of genome editing (GE) and artificial intelligence (AI) is shifting crop improvement from empirical optimization toward predictive design. In this Perspective, we propose that GE and AI are linked by a reciprocal innovation cycle. AI ... read more

Overcoming barriers to delivery of biologics by novel approaches and, advanced delivery systems.

Advanced drug delivery reviews Apr 16, 2026

Biologics is emerging as fastest growing field of drug development offering specificity and high therapeutic potential. However, their therapeutic efficacy is dependent on their route of administration and targeted delivery. Unlike small molecules, b... read more

Hybrid experimental-machine learning framework for media optimization enhances antioxidant production in Micrococcus endophyticus SS-1.

Journal of microbiological methods Apr 16, 2026

Culture medium composition is a key determinant of microbial antioxidant production, yet systematic optimization remains challenging due to nonlinear interactions among nutrients and the large experimental design space. In this study, a hybrid experi... read more

Artificial Intelligence Medical Compendium