Artificial Intelligence Medical Compendium

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

Showing 58,761 to 58,770 of 227,634 articles

Explainable Deepfake Detection with RL Enhanced Self-Blended Images

arXiv Jan 22, 2026
Most prior deepfake detection methods lack explainable outputs. With the growing interest in multimodal large language models (MLLMs), researchers have started exploring their use in interpretable deepfake detection. However, a major obstacle in appl... read more 
Computer Vision and Pattern Recognition

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation

arXiv Jan 22, 2026
Accurate segmentation of cervical structures in transvaginal ultrasound (TVS) is critical for assessing the risk of spontaneous preterm birth (PTB), yet the scarcity of labeled data limits the performance of supervised learning approaches. This paper... read more 
Image and Video Processing cs.CE cs.CV

Relative Classification Accuracy: A Calibrated Metric for Identity Consistency in Fine-Grained K-pop Face Generation

arXiv Jan 22, 2026
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkable success in high-fidelity image generation. However, evaluating their semantic controllability-specifically for fine-grained, single-domain tasks-remains challenging. Standard m... read more 
Computer Vision and Pattern Recognition

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance

arXiv Jan 22, 2026
A key task in ML is to optimize models at various stages, e.g. by choosing hyperparameters or picking a stopping point. A traditional ML approach is to use validation loss, i.e. to apply the training loss function on a validation set to guide these o... read more 
Machine Learning

A phylogenomic approach, combined with morphological characters gleaned via machine learning, uncovers the hybrid origin and biogeographic diversification of the plum genus

bioRxiv Jan 22, 2026
The evolutionary histories of species have been shaped by genomic, environmental, and morphological variation. Understanding the interactions among these sources of variation is critical to infer accurately the biogeographic history of lineages. Here... read more 
evolutionary biology

Neural Spectral Prediction for Structure Elucidation with Tandem Mass Spectrometry

bioRxiv Jan 22, 2026
Structural elucidation using untargeted tandem mass spectrometry (MS/MS) has played a critical role in advancing scientific discovery. However, differentiating molecular fragmentation patterns between isobaric structures remains a prominent challenge... read more 
bioinformatics

Fast Adversarial Generation of Molecular Dynamics Trajectories with Kinetic Fidelity

bioRxiv Jan 22, 2026
Molecular dynamics (MD) simulations yield atomic-level insights into molecular motion but struggle to reach the long timescales needed for rare events due to prohibitive computational costs. Generative machine-learning models (e.g., diffusion models ... read more 
biophysics

Time-frequency embedding with contrastive pre-training allows sub-second seizure detection

bioRxiv Jan 22, 2026
Rapid and accurate detection of electrographic seizures is critical for both clinical diagnosis and neuroscience research. Although seizure identification is commonly performed in the time domain, analysis in the time-frequency domain provides a more... read more 
neuroscience

Remote and Independent Detection of Human Stress Using Sweat and AI

bioRxiv Jan 22, 2026
Previous studies exploring human sweat ducts as biological antennas in the sub-THz range have shown that the electromagnetic (EM) response of the skin is modulated by the person's mental and physical stress. These findings naturally raised hopes of a... read more 
biophysics

IMAGENE: Single-cell association of live cell imaging and gene expression profiles of non-adherent cells through photoactivatable adhesives

bioRxiv Jan 22, 2026
Live cell imaging is uniquely placed to study cell behavior as it preserves spatial context and enables non-destructive observations over time. Integrating live cell imaging and molecular phenotypes with single-cell resolution is key to uncovering th... read more 
bioengineering
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