Artificial Intelligence Medical Compendium

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

Showing 46,061 to 46,070 of 224,055 articles

AI-Guided CRISPR Screen Accelerates Discovery of New Drug Targets

bioRxiv
Psoriasis affects over 125 million people worldwide, yet the mechanistic understanding of keratinocyte-driven inflammation remains incomplete, limiting therapeutic innovation beyond costly systemic biologics that are prone to side effects. Here, we p... read more 

Artificial Intelligence in Healthcare: 2025 Year in Review

medRxiv
Background Breakthroughs in model architecture and the availability of data are driving transformational artificial intelligence in healthcare research at an exponential rate. The shift in use of model types can be attributed to multimodal properties... read more 

Aberration-aware 3D localization microscopy via self-supervised neural-physics learning

bioRxiv
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecular positions from engineered 2D fluorescence patterns. However, achieving nanoscale resolution over large axial ranges in complex biological samples r... read more 

Artificial intelligence robots for mental health applications: a scoping review.

Psychiatry research
BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingly prominent. Artificial intelligence robots are a promising tool for digital mental health intervent... read more 

InclusiveHAR: A smartphone-based dataset for human activity recognition across diverse physical abilities.

Data in brief
Human Activity Recognition (HAR) has numerous applications in healthcare, rehabilitation, athletics, and smart environments. Effective AI models rely on diverse and representative datasets to achieve robust generalization. However, the majority of ex... read more 

UzbekPOS: A multi-domain dataset for Uzbek part-of-speech tagging.

Data in brief
In this paper, we introduce UzbekPOS - a part-of-speech (POS) tagged dataset manually annotated for the Uzbek language, designed for natural language processing, artificial intelligence models, and corpus linguistics applications. This tagged corpus ... read more 

Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation.

Photoacoustics
Photoacoustic (PA) imaging offers high-resolution functional imaging in vivo, but image quality varies with acquisition hardware, reconstruction methods, and scanning conditions. Reliable image quality assessment (IQA) is therefore critical for evalu... read more 

Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.

iScience
Lack of non-invasive biomarkers hinders pulmonary tuberculosis (PTB) management. We developed a multidimensional machine learning framework to systematically evaluate five cell-free RNA (cfRNA)-derived host response modalities: immune cell infiltrati... read more 

Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

iScience
Acetaminophen (APAP) overdose is a leading cause of drug-induced liver injury and acute liver failure. PANoptosis, a recently defined form of programmed cell death, is closely linked to immune regulation; however, its role in APAP-induced liver injur... read more 

A computationally efficient hybrid Kolmogorov-Arnold network for hyperspectral classification of signatory pen inks.

Forensic science international
In the field of forensic document examination, the non-destructive and precise differentiation of signing pen inks is pivotal for determining document authenticity and reconstructing case facts. Hyperspectral imaging (HSI), characterized by the integ... read more