Artificial Intelligence Medical Compendium

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

Showing 29,741 to 29,750 of 219,931 articles

Predicting protein-nucleic acid interactions via protein language models with biophysical and evolutionary priors.

iScience Apr 17, 2026
Protein interactions with nucleic acids are fundamental to numerous biological processes. Here, we present PNABPred, a multi-modal framework that integrates biophysical and evolutionary priors into a protein language model to predict protein-nucleic ... read more 

A causal AI and explainable optimization framework for social robot design.

iScience Apr 17, 2026
Mapping human-machine requirements in smart product design remains challenging. An integrated framework combining semiotic architecture product design (SAPAD), dual machine learning (DML), hesitant fuzzy quality function deployment (HFQFD), and multi... read more 

How good are artificial intelligence tools at identifying benign skin lesions? A systematic review and meta-analysis of the specificity of artificial intelligence tools in diagnosing suspicious skin lesions.

Skin health and disease Apr 17, 2026
BACKGROUND: Artificial intelligence (AI) is a transformative diagnostic tool in dermatology. As the prevalence of skin cancer rises and pressure on health services increases, there is an increasing demand for efficient diagnostic tools. Therefore, it... read more 

Deep learning and hyperspectral imaging for non-destructive amino acid detection in live carp fillets.

Food research international (Ottawa, Ont.) Apr 17, 2026
Rapid and non-destructive inspection of fillet nutritional quality is essential for selecting high-value live fish prior to processing, yet no such method exists for determining fillet amino acid (AA) contents. This study developed a non-destructive ... read more 

Beyond saponins: An integrated mass spectrometry strategy for profiling, spatial mapping, and rapid authentication of non-saponin constituents in Panax species.

Food research international (Ottawa, Ont.) Apr 17, 2026
Non-saponin constituents of Panax species, including amino acids, sugars, and nucleosides, have attracted increasing attention due to their nutritional relevance and potential health benefits in food-medicine homologous materials. However, their high... read more 

Development of a LightGBM-based survival prediction model for major burn patients using LDH/LYM ratio as the core predictor.

Burns : journal of the International Society for Burn Injuries Apr 17, 2026
BACKGROUND: Patients with extensive burns face a high mortality risk. Early identification of prognostic indicators may facilitate timely interventions that substantially improve outcomes and reduce mortality. The lactate dehydrogenase-to-lymphocyte ... read more 

CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder

arXiv Apr 17, 2026
Latent diffusion models have emerged as powerful generative models in medical imaging, enabling the synthesis of high quality brain magnetic resonance imaging scans. In particular, predicting the evolution of a patients brain can aid in early interve... read more 
Computer Vision and Pattern Recognition cs.AI

SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding

arXiv Apr 17, 2026
Cross-modal retrieval between food images and recipe texts is an important task with applications in nutritional management, dietary logging, and cooking assistance. Existing methods predominantly rely on dual-encoder architectures with separate imag... read more 
Computer Vision and Pattern Recognition cs.CL cs.IR cs.LG cs.MM

Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification

arXiv Apr 17, 2026
VVI-ReID is a critical technique for all-day surveillance, where temporal information provides additional cues beyond static images. However, existing approaches rely heavily on fully supervised learning with expensive cross-modality annotations, lim... read more 
Computer Vision and Pattern Recognition

SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography

arXiv Apr 17, 2026
Machine learning has achieved impressive performance in tomographic reconstruction, but supervised training requires paired measurements and ground-truth images that are often unavailable. This has motivated self-supervised approaches, which have pri... read more 
Computer Vision and Pattern Recognition
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