Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,211 to 3,220 of 202,937 articles

Genomic and socioeconomic drivers of antimicrobial resistance forecast to 2050.

Cell genomics
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
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 

Exploring AI scribes in Norwegian general practice: a qualitative individual interview study.

Scandinavian journal of primary health care
OBJECTIVE: To explore how Artificial intelligence (AI) scribes influence Norwegian general practitioners' (GPs) clinical practice, focusing on their impact on workflow, consultation routines, and professional responsibility, and to explore GPs reflec... read more 

Learning and deskilling effects of artificial intelligence in colonoscopy among endoscopists with different levels of experience: a pragmatic, prospective trial.

Endoscopy
BACKGROUND: The effect of computer-aided detection (CADe) on performance of endoscopists with different experience levels is not well understood. This study assessed whether CADe use promotes learning or deskilling. METHODS: We performed a prospectiv... 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
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 

Advances in the diagnosis and detection of chronic kidney disease.

Lancet (London, England)
Chronic kidney disease affects 788-844 million adults worldwide and is projected to become the fifth leading cause of death by 2040. Global burden estimates remain limited by ascertainment bias and inadequate access to testing, particularly in low-in... read more 

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

Physics in medicine and biology
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
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
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 

Bubble nucleation as a non-equilibrium phase transition in CO2/CH4 Hydrates.

Journal of physics. Condensed matter : an Institute of Physics journal
Gas hydrate dissociation is a complex non-equilibrium process involving coupled lattice destabilization, gas release, and bubble nucleation, which plays a key role in methane recovery and CO2 sequestration. However, the microscopic mechanism linking ... read more