Artificial Intelligence Medical Compendium

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

Showing 581 to 590 of 159,289 articles

Lay beliefs about AI assessment of interpersonal skills in personnel selection.

Scientific reports
Artificial intelligence (AI) is revolutionizing talent acquisition, with organizations increasingly replacing humans with AI technologies in personnel selection processes. Field studies of nurses provide preliminary evidence that AI can outperform hu...

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?

arXiv
Existing video benchmarks often resemble image-based benchmarks, with question types like "What actions does the person perform throughout the video?" or "What color is the woman's dress in the video?" For these, models can often answer by scanning...

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection

arXiv
Anomaly inspection plays a vital role in industrial manufacturing, but the scarcity of anomaly samples significantly limits the effectiveness of existing methods in tasks such as localization and classification. While several anomaly synthesis appr...

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts

arXiv
Transcription Factor Binding Site (TFBS) prediction is crucial for understanding gene regulation and various biological processes. This study introduces a novel Mixture of Experts (MoE) approach for TFBS prediction, integrating multiple pre-trained...

Solvent Replacement-Driven Ionic Liquid Thermoelectric Gel for Self-Powered Morse Code Communication Assisted by Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The development of ionic liquid gels (IL gels) with both high thermoelectric performance and mechanical flexibility is essential for advancing low-grade heat energy harvesting in next-generation flexible electronics and self-powered systems. Herein, ...

Efficient Private Inference Based on Helper-Assisted Malicious Security Dishonest Majority MPC

arXiv
Private inference based on Secure Multi-Party Computation (MPC) addresses data privacy risks in Machine Learning as a Service (MLaaS). However, existing MPC-based private inference frameworks focuses on semi-honest or honest majority models, whose ...

Tailored travel medicine: advancing personalised travel risk assessment through decision support tools.

Journal of travel medicine
This editorial explores how clinical decision support systems, artificial intelligence, and behavioural profiling can enable personalised travel health advice, transitioning from static checklists to dynamic, traveller-specific recommendations that s...

Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score

arXiv
Vision-language models (VLMs) like CLIP excel in zero-shot learning by aligning image and text representations through contrastive pretraining. Existing approaches to unsupervised adaptation (UA) for fine-grained classification with VLMs either rel...

Demystifying Flux Architecture

arXiv
FLUX.1 is a diffusion-based text-to-image generation model developed by Black Forest Labs, designed to achieve faithful text-image alignment while maintaining high image quality and diversity. FLUX is considered state-of-the-art in text-to-image ge...