Artificial Intelligence Medical Compendium

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

Showing 48,621 to 48,630 of 224,513 articles

Vision transformer-based diagnosis of psoriasis and eczema in whole-slide histology.

Virchows Archiv : an international journal of pathology
Psoriasis and eczema are chronic inflammatory skin diseases with overlapping histopathological features, which often lead to diagnostic uncertainty even among experienced dermatopathologists. To address this challenge, we developed a computer-assiste... read more 

SamplingDesign: RNA design via continuous optimization with coupled variables and Monte-Carlo sampling.

Nature communications
RNA design aims to find a sequence that can fold into a target secondary structure. It can create artificial RNA molecules for specific functions, with wide applications in medicine. It is computationally challenging due to two levels of combinatoria... read more 

Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems.

Scientific reports
Accurate prediction of grid voltage and stability is critical for ensuring reliable and efficient operation of modern power systems, especially with the increasing integration of intermittent renewable energy sources. This study rigorously evaluates ... read more 

Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework.

Scientific reports
Wind power generation is a vital component of renewable energy, and achieving high-accuracy power forecasting is crucial for grid stability and sustainable operation. To address the highly nonlinear and complex temporal characteristics of wind power,... read more 

Fat-containing soft-tissue tumors: Imaging findings and pathologic correlation.

Skeletal radiology
Fat-containing soft-tissue tumors encompass a broad spectrum of entities, ranging from indolent lipomas to aggressive liposarcomas, many of which share overlapping MRI features that pose diagnostic challenges even for experienced radiologists. In thi... read more 

Single-cell transcriptomic analysis and machine learning identify ATAD3A as a key gene that stabilizes mitochondrial-endoplasmic reticulum membranes, promoting bladder cancer progression.

Journal of translational medicine
BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory role in cancer, yet their function in bladder cancer (BCa) remains unclear. METHODS: This study conducted a comprehensive analysis of extensive RNA s... read more 

Multi-Score Reinforcement Learning for High-Tg Polyimide Design.

Journal of chemical information and modeling
This study explores strategies to guide the generation of polyimides with high glass transition temperatures (Tg > 750 K) through reinforcement learning. We present a systematic computational framework for analyzing and combining multiple scoring fun... read more 

AI in epilepsy neuroimaging.

Current opinion in neurology
PURPOSE OF REVIEW: Recent advances in the capabilities and usability of artificial intelligence (AI) architectures coupled with increased availability of neuroimaging datasets has fuelled a rapid expansion in AI applications to epilepsy neuroimaging.... read more 

Blood pressure estimation using single photoplethysmography signal based on ResNet-BiGRU.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Conventional cuff-based blood pressure (BP) measurement provides only intermittent readings, whereas photoplethysmography (PPG)-based methods enable continuous and noninvasive monitoring. This study aims to develop a deep learning framewo... read more