Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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iMedImage Technical Report

Background: Chromosome karyotype analysis is crucial for diagnosing hereditary diseases, yet detec...

Utsarjan: A smartphone App for providing kidney care and real-time assistance to children with nephrotic syndrome

Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction

Investigating the public experience of urgent care facilities is essential for promoting community...

Qwen2.5-Omni Technical Report

In this report, we present Qwen2.5-Omni, an end-to-end multimodal model designed to perceive diver...

Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models

Recent advancements in autoregressive and diffusion models have led to strong performance in image...

Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage

Achieving fine-grained controllability in human image synthesis is a long-standing challenge in co...

Can Vision-Language Models Answer Face to Face Questions in the Real-World?

AI models have made significant strides in recent years in their ability to describe and answer qu...

LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text

This study addresses the technical bottlenecks in handling long text and the "hallucination" issue...

Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines

Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote in...

An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)

Encryption is crucial for securing sensitive data during transmission over networks. Various encry...

LGI-DETR: Local-Global Interaction for UAV Object Detection

UAV has been widely used in various fields. However, most of the existing object detectors used in...

SciClaims: An End-to-End Generative System for Biomedical Claim Analysis

Validating key claims in scientific literature, particularly in biomedical research, is essential ...

End-to-End Implicit Neural Representations for Classification

Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network pa...

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study

Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subseque...

End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills

The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery

Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the m...

DCEdit: Dual-Level Controlled Image Editing via Precisely Localized Semantics

This paper presents a novel approach to improving text-guided image editing using diffusion-based ...

Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data

Alzheimer's disease and related dementias (AD/ADRD) represent a growing healthcare crisis affectin...

A Context-Driven Training-Free Network for Lightweight Scene Text Segmentation and Recognition

Modern scene text recognition systems often depend on large end-to-end architectures that require ...

A Real-Time Human Action Recognition Model for Assisted Living

Ensuring the safety and well-being of elderly and vulnerable populations in assisted living enviro...

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