Artificial Intelligence Medical Compendium

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

Showing 51,571 to 51,580 of 225,182 articles

NoninvasiveĀ Staging of Hepatic Fibrosis in Patients with Autoimmune Liver Disease Using Deep Learning.

Academic radiology
RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppressive and antifibrotic therapies. However, percutaneous liver biopsy, the current reference standard, remains invasive and is subject to sampling erro... read more 

Omics medicine: what the clinicians should know.

European journal of internal medicine
Omics technologies analyze comprehensive molecular datasets, enabling the detailed characterization of pathological processes. Genomic, transcriptomic, proteomic, and metabolomic approaches, as well as emerging single-cell and spatial omics, enhance ... read more 

Windows-APT 2025: A dataset for APT-inspired attack scenarios on windows systems.

Data in brief
The Windows-APT Dataset 2025 represents a significant advancement in cybersecurity research, addressing critical gaps in the understanding of advanced persistent threat (APT) tactics against Windows systems. Existing datasets largely focus on network... read more 

A hypergraph-based model for tumor prognosis using local and global information fusion on H&E-stained histology images.

Medical image analysis
Prognostic variables play a critical role in guiding clinical treatment decisions for cancer patients. However, extracting prognostic information from gigapixel histopathology slides remains a significant challenge. While attention-based deep learnin... read more 

Multimodal activity-affinity assay of ADAM-10 extracellular vesicles in untreated plasma reveals metastatic stage of colorectal cancer.

Biosensors & bioelectronics
Metalloproteinases (MPs) such as a-disintegrin and metalloproteinase-10 (ADAM-10) are key drivers of extracellular matrix remodeling during tumor progression, yet MP-based liquid biopsy tests have not reached clinical utility. Here, we show that acti... read more 

Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.

Journal of colloid and interface science
Hydrogel sensors have gained significant attention in recent years due to their ability to detect various stimuli. This work first employs a "one-pot method" to construct a semi-interpenetrating network (sIPN) gel composed of polyvinyl alcohol (PVA) ... read more 

Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories.

Medical image analysis
Deep learning has advanced pathological image analysis but remains constrained by limited annotated data, especially for fine-grained diagnostic tasks such as tumor subtyping, grading, and cellularity assessment. While data augmentation alleviates th... read more 

Differential Neural Substrates of Freezing of Gait in Cerebral Small Vessel Disease and Parkinson Disease: A Dual-tracer PET Study.

Clinical nuclear medicine
PURPOSE: Freezing of gait (FOG) occurs in both Parkinson disease (PD) and cerebral small vessel disease (CSVD), but its mechanism in CSVD is unknown. We hypothesize that FOG arises from distinct neural substrates in these 2 disorders. MATERIALS AND M... read more 

SurgLaVi: Large-scale hierarchical dataset for surgical vision-language representation learning.

Medical image analysis
Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and transfer across tasks without relying on expert-labeled datasets. However, progress in surgical VLP... read more