Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 208,566 articles

Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease.

NPJ cardiovascular health
Sudden arrhythmic death remains a major clinical risk in ischemic heart disease (IHD), underscoring the need for improved risk stratification. Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) provides measures of scar burden and heter... read more 

Deep learning-based super-resolution ultrashort echo time MRI for pulmonary nodule detection and longitudinal assessment in emphysema.

BMC pulmonary medicine
PURPOSE: This study aimed to evaluate the performance of deep learning-based super-resolution ultrashort echo time magnetic resonance imaging (SR-UTE MRI) for the detection of pulmonary nodules and the reliability of longitudinal nodule size assessme... read more 

A comparative evaluation of large language models in diagnosis and treatment planning in restorative dentistry.

BMC oral health
OBJECTIVE: With the advancement of artificial intelligence (AI), large language models (LLMs) have become an alternative source of information in dentistry. These LLMs, which can be trained on large data sets, can answer medical questions and provide... read more 

PES2MP: A Python Application for Automating Collisional Dynamics of Linear Rigid-Rotors.

Journal of computational chemistry
The paper introduces a modular Python-based program with a graphical user interface (GUI) to automate collisional dynamics of rigid-rotors in cold and ultracold environments. The program streamlines the construction of abĀ initio potential energy surf... read more 

PES2MP: A Python Application for Automating Collisional Dynamics of Linear Rigid-Rotors.

Journal of computational chemistry
The paper introduces a modular Python-based program with a graphical user interface (GUI) to automate collisional dynamics of rigid-rotors in cold and ultracold environments. The program streamlines the construction of abĀ initio potential energy surf... read more 

Advances in CT and MRI for Yttrium-90 Radioembolization of Hepatocellular Carcinoma.

Academic radiology
RATIONALE AND OBJECTIVES: Transarterial radioembolization (TARE) is increasingly used for patients with hepatocellular carcinoma (HCC) across Barcelona Clinic Liver Cancer stages. It provides local disease control and downstaging or bridging to defin... read more 

Scoping review: artificial intelligence in patient education for scoliosis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
BACKGROUND: Scoliosis is a prominent and disabling spinal deformity often presenting in adolescence, causing pain and movement dysfunction. Treatment involves repeated surgical interventions to straighten the spine gradually. Due to the invasive natu... read more 

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BMC genomics
BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular framework for biological maturation: the pig's developmental tempo differs substantially from the human'... read more 

Physics-Inspired perspective on synergistic Optimization: A deep Receding-Horizon optimization strategy for denitrification and ammonia slip suppression in waste incineration.

Bioresource technology
To address the multi-objective conflicts among nitrogen oxides (NOx) emission compliance, ammonia slip constraints, and environmental cost control in the denitrification process of municipal solid waste incineration (MSWI), a physics-inspired intelli... read more 

Dissecting first-episode psychosis heterogeneity with clustering analyses: a systematic review.

Neuroscience and biobehavioral reviews
INTRODUCTION: First episode psychosis (FEP) refers to a variable clinical presentation of the onset of psychotic symptoms and represents a key point in time to ensure prompt treatment of affected patients. Clustering techniques based on unsupervised ... read more