Artificial Intelligence Medical Compendium

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

Showing 49,911 to 49,920 of 224,814 articles

Artificial intelligence-assisted middle meningeal artery embolization for chronic subdural hematoma with overlay visualization.

Journal of neurointerventional surgery Feb 16, 2026
The effectiveness of middle meningeal artery (MMA) embolization for chronic subdural hematoma is well established,1-3 and distal and multibranch penetration of embolic agents is recognized as a key factor for better outcomes.4 5 In recent years, seve... read more 

Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

Cancer research Feb 16, 2026
UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the development and biological composition of human tumors. Single-cell RNA sequencing (scRNA-seq) provides a transcriptomic snapshot of cancer to explore the h... read more 

CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

Cancer research Feb 16, 2026
UNLABELLED: Single-cell RNA sequencing facilitates the discovery of gene expression signatures that define cell states across patients, which could be used in patient stratification and precision oncology. However, the lack of standardization in comp... read more 

SpectralFlow: an integrated platform for spectral data preprocessing and predictive modeling analysis in fruit quality evaluation.

The Analyst Feb 16, 2026
Near infrared spectroscopy and hyperspectral imaging offer unique analytical advantages and immense application potential in fruit quality evaluation. However, most existing spectral analysis software is limited to simple machine learning models, lac... read more 

High-Resolution 3T MRI of the Membranous Labyrinth Using Deep Learning Reconstruction.

AJNR. American journal of neuroradiology Feb 16, 2026
BACKGROUND AND PURPOSE: The labyrinth is a complex anatomic structure in the temporal bone. However, high-resolution imaging of its membranous portion is challenging because of its small size and the limitations of current MRI techniques. Deep learni... read more 

Development and validation of an explainable machine learning prediction model for futile recanalization after mechanical thrombectomy in acute large vessel occlusion stroke.

Journal of neurointerventional surgery Feb 16, 2026
BACKGROUND: Mechanical thrombectomy (MT) is the primary treatment for acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). However, the likelihood of futile recanalization (FR) at 90 days post-MT remains high. METHODS: This study inclu... read more 

Multimodal gene embeddings for drug-target prediction and lineage reconstruction

bioRxiv Feb 16, 2026
Understanding how gene function emerges across molecular, cellular, and pharmacologic contexts remains a central challenge in systems biology and drug discovery. Conventional computational models typically operate within a single modality, such as ex... read more 
systems biology

Learning fragment-based segmentation of binding sites from molecular dynamics: a proof-of-concept on cardiac myosin.

bioRxiv Feb 16, 2026
The geometric and chemical features of protein binding sites tend to change as a consequence of conformational dynamics. In the ligand-unbound (apo) state, a binding site might be only transiently organised in a way that can accommodate a given ligan... read more 
bioinformatics

Programmable RNA detection generates DNA barcodes for multiplexed phage-host interaction screening

bioRxiv Feb 16, 2026
Here, we introduce Detectrons, modular biosensors that couples programmable toehold switches with retron-mediated reverse transcription to transduce RNA inputs into unique DNA barcodes. The ability to convert dynamic RNA signals into durable DNA reco... read more 
synthetic biology

Application of Explainable AI in Neuroscience: Enhancing Autism Screening

bioRxiv Feb 16, 2026
The main challenges in the life of a child with autism are difficulties in communication, behavior, and social interaction. Early diagnosis of this neurodevelopmental disorder improves patient outcomes by enabling more effective, personalized interve... read more 
neuroscience
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