AI Medical Compendium

Genomic and socioeconomic drivers of antimicrobial resistance forecast to 2050.

Cell genomics Jun 3, 2026

Antimicrobial resistance (AMR) is rising worldwide, and a better understanding of the genetic and socioeconomic determinants tied to it may establish a vantage point for surveillance and intervention. Unfortunately, the interactions between antibioti... read more

Cross-species integration of single-cell data reveals conserved pathology-associated cell populations across animal models and human samples.

Cell reports methods Jun 3, 2026

Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular heterogeneity, but integrating data across species remains challenging due to technical variation and complex gene homology. We present TACMAN (transformer-based ali... read more

Impact of Deep-Learning Reconstruction on MRI Workflows: A Retrospective Analysis at a Large Academic Tertiary Center.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 3, 2026

PURPOSE: Artificial intelligence is increasingly integrated in clinical practice. In radiological imaging, deep-learning (DL)-based image reconstruction techniques show potential for accelerating and enhancing the quality of examination procedures in... read more

Domain-specific adaptation for MR image synthesis with text-guided diffusion.

Physics in medicine and biology Jun 3, 2026

Deep learning in medical imaging is severely constrained by data scarcity. Data synthesis offers a promising solution, but existing generative models have difficulty in restoring pathological texture features when trained on small-scale datasets. To ... read more

GPDM: generation-prior diffusion model for accelerated direct attenuation and scatter correction of whole-body 18F-FDG PET.

Physics in medicine and biology Jun 3, 2026

Accurate attenuation and scatter correction is essential in positron emission tomography (PET) for reliable visual interpretation and quantitative analysis. Conventional correction methods based on computed tomography (CT) or magnetic resonance imagi... read more

Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.

Physiological measurement Jun 3, 2026

Coronary microvascular dysfunction (CMD) causes myocardial ischemia and is associated with adverse cardiovascular events. This study explored the value of multidimensional electrocardiogram (ECG) features in capturing pathological changes linked to C... read more

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

Journal of chemical theory and computation Jun 3, 2026

With the advancement of artificial intelligence, molecular design based on generative models offers novel approaches to accelerate drug discovery. However, existing molecular generation methods suffer from inadequate representational capability in ge... read more

Personalized Type 1 Diabetes Management: Reinforcement Learning-Based Insulin Dosing and Glucose Forecasting.

JMIR diabetes Jun 3, 2026

BACKGROUND: Optimizing insulin dosing and predicting future glucose levels for people with type 1 diabetes is challenging due to the dynamic nature of glucose metabolism. Traditional static insulin regimens fail to adapt to individual variability in ... read more

Clinical Evaluation of Deep Learning-Reconstructed Postcontrast 3D T1-Weighted Volume Interpolated Breath-Hold Examination (VIBE) Compared with Standard VIBE for Detection of Internal Auditory Canal Lesions.

AJNR. American journal of neuroradiology Jun 3, 2026

BACKGROUND AND PURPOSE: Contrast-enhanced volume interpolated breath-hold examination (VIBE) is commonly used for evaluating internal auditory canal (IAC) pathology. Deep learning (DL)-reconstruction has been shown to reduce scan time while maintaini... read more

AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities.

JACC. Case reports Jun 3, 2026

Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to specialists, incomplete clinical documentation, and patients with complex comorbidities. Artificial intelligence clinical decision support systems have ... read more

Artificial Intelligence Medical Compendium