Artificial Intelligence Medical Compendium

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

Showing 2,041 to 2,050 of 166,336 articles

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection

arXiv
Recent advances in generative models have highlighted the need for robust detectors capable of distinguishing real images from AI-generated images. While existing methods perform well on known generators, their performance often declines when teste... read more 

Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense

arXiv
Deep neural networks (DNNs) and generative AI (GenAI) are increasingly vulnerable to backdoor attacks, where adversaries embed triggers into inputs to cause models to misclassify or misinterpret target labels. Beyond traditional single-trigger scen... read more 

Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning

arXiv
We consider the problem of persistent client dropout in asynchronous Decentralized Federated Learning (DFL). Asynchronicity and decentralization obfuscate information about model updates among federation peers, making recovery from a client dropout... read more 

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models

arXiv
Image geolocalization, the task of identifying the geographic location depicted in an image, is important for applications in crisis response, digital forensics, and location-based intelligence. While recent advances in large language models (LLMs)... read more 

Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation

arXiv
The preoperative planning of liver surgery relies on Couinaud segmentation from computed tomography (CT) images, to reduce the risk of bleeding and guide the resection procedure. Using 3D point-based representations, rather than voxelizing the CT v... read more 

Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language Models

arXiv
Fine-tuning open-source Vision-Language Models (VLMs) creates a critical yet underexplored attack surface: vulnerabilities in the base VLM could be retained in fine-tuned variants, rendering them susceptible to transferable jailbreak attacks. To de... read more 

Reflection-Enhanced Raman Identification of Single Bacterial Cells Patterned Using Capillary Assembly.

ACS sensors
Raman spectroscopy is an enticing tool for the rapid identification of pathogenic bacteria and has the potential to meet the demand for early diagnosis and timely treatment of patients. However, it remains a challenge to devise a reliable Raman detec... read more 

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

arXiv
Clinicians usually combine information from multiple sources to achieve the most accurate diagnosis, and this has sparked increasing interest in leveraging multimodal deep learning for diagnosis. However, in real clinical scenarios, due to differen... read more 

Cross-subject EEG signals-based emotion recognition using contrastive learning.

Scientific reports
Electroencephalography (EEG) signals based emotion brain computer interface (BCI) is a significant field in the domain of affective computing where EEG signals are the cause of reliable and objective applications. Despite these advancements, signific... read more 

EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses

arXiv
All-day smart glasses are likely to emerge as platforms capable of continuous contextual sensing, uniquely positioning them for unprecedented assistance in our daily lives. Integrating the multi-modal AI agents required for human memory enhancement... read more