Artificial Intelligence Medical Compendium

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

Showing 46,051 to 46,060 of 224,055 articles

Deep Learning-based Detection of Colorectal Liver Metastases: Performance, Robustness, and Clinical Implications.

Radiology. Imaging cancer Mar 1, 2026
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From imaging to omics: deep learning is bridging MRI and liquid biopsy in bone tumor diagnosis.

Journal of bone oncology Mar 1, 2026
Bone tumors such as osteosarcoma and Ewing sarcoma remain among the most challenging cancers to diagnose and monitor because of their biological heterogeneity and overlapping radiological features. Magnetic resonance imaging (MRI) provides detailed a... read more 

Kolmogorov-Arnold networks for data-driven, physics-informed, and deep-operator learning: a review, synthesis, and new analysis.

Neural networks : the official journal of the International Neural Network Society Mar 1, 2026
The field of scientific machine learning, which originally utilized multilayer perceptrons (MLPs), is increasingly adopting Kolmogorov-Arnold Networks (KANs) for data encoding. This shift is driven by the limitations of MLPs, including poor interpret... read more 

Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

bioRxiv Mar 1, 2026
Machine learning (ML)-assisted Raman spectroscopy has become a powerful analytical tool for the classification and identification of analytes; however, technical challenges impacting its detection accuracy have not been investigated. This study explo... read more 
bioinformatics

ChatSpatial: Schema-Enforced Agentic Orchestration for Reproducible and Cross-Platform Spatial Transcriptomics

bioRxiv Mar 1, 2026
Spatial transcriptomics has transformed our ability to study tissue architecture at molecular resolution, yet analyzing these data demands navigating dozens of computational methods across incompatible Python and R ecosystems---forcing researchers to... read more 
bioinformatics

MolX: A Geometric Foundation Model for Protein-Ligand Modelling

bioRxiv Mar 1, 2026
Understanding how small molecules interact with protein binding pockets is central to structure-based drug discovery. Accurately modelling these interactions requires capturing the 3D geometry and physicochemical complementarity of binding interfaces... read more 
bioinformatics

DeepSRFusion: a point cloud deep learning framework for super-resolution particle fusion

bioRxiv Mar 1, 2026
Deciphering the spatial organization of macromolecular complexes in their native context is central to structural biology. Particle fusion in single-molecule localization microscopy offers a unique capability for high-resolution structural reconstruc... read more 
biophysics

Evaluating AI-Assisted Customer Verification for Synthetic Nucleic Acid Screening

bioRxiv Mar 1, 2026
Legitimacy screening, the process of verifying the identity and purpose of customers ordering synthetic nucleic acids, is a primary safeguard against the misuse of synthetic biology. However, the associated costs discourage the adoption of screening ... read more 
synthetic biology

Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome

bioRxiv Feb 28, 2026
The gut microbiome regulates many aspects of human biology, including immunity and inflammatory diseases, yet mechanistic discovery and translation remain constrained by fragmented workflows and manual hypothesis integration. Here, we present Eubiota... read more 
bioinformatics

Impact of Image Representation on Deep Learning-Based Single-Cell Classification by Holographic Imaging Flow Cytometry

bioRxiv Feb 28, 2026
Accurate cell type classification is essential for a wide range of biomedical applications, including disease diagnosis, drug discovery, and the study of cellular processes. Holographic imaging flow cytometry (HIFC) provides label-free quantitative p... read more 
biophysics
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