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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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Backbone-Agnostic Perturbation-Induced Uncertainty Learning for End-to-End Real-World Image Dehazing

Real-world paired image dehazing remains challenging because haze degradation is spatially non-unifo...

First-Trimester Non-Invasive Prediction of Preterm Birth Using Cell-Free DNA Fragmentomics

Objective. To develop and validate a cell free DNA (cfDNA) fragmentomic classifier for the early pre...

TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving

Bird's-Eye View (BEV) end-to-end instance prediction has emerged as a robust paradigm for autonomous...

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

We present HunyuanOCR-1.5, a lightweight end-to-end OCR-specialized vision-language model. HunyuanOC...

Multi-Head Recurrent Memory Agents

Recurrent memory agents extend LLMs to arbitrarily long contexts by iteratively consolidating input ...

RESCUE: An end-to-end multi-agent LLM system for proactive rare-disease patient screening in the EHR

Background: Rare diseases affect a significant portion of the global population, yet patients often ...

TerraDiT-$Ω$: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive

Generative models have achieved remarkable progress, yet applying them to satellite imagery remains ...

GEAR: Guided End-to-End AutoRegression for Image Synthesis

Visual generative models are typically trained in two stages. A tokenizer is first trained for recon...

HiRes: A Hierarchical Cascaded Method for Resistor Value Identification

Accurate identification of resistor values from unconstrained images remains a challenging computer ...

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

Manual reporting of 3D MRI studies is time-consuming, yet end-to-end structured report generation fo...

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation

Normalizing Flows (NFs) are powerful generative models capable of exact density estimation and sampl...

Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting

Standardized assessment of uterine MRI remains challenging due to anatomical variability, observer d...

Visual Geometry Transformer in the Wild: Distractor-Free 3D Reconstruction

Current end-to-end multi-view 3D reconstruction methods achieve impressive results, but rely on a re...

Language Models as Interfaces, Not Oracles: A Hybrid LLM-ML System for Pediatric Appendicitis

Large language models (LLMs) can make clinical decision support more accessible by interpreting free...

PolyFold: Evaluation of Open-Use Molecular Structure Prediction Algorithms to Inform Their Utility in Diverse Biological Applications

With the growing use of machine-learning-assisted pipelines for designing, characterizing, and optim...

TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations

End-to-end autonomous driving has achieved state-of-the-art performance on benchmarks and real-world...

When LLMs Analyze Scars: From Images to Clinically-Meaningful Features

Medical image classification faces a fundamental dilemma: while deep learning models achieve remarka...

MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation

We introduce MUNI, an end-to-end multimodal latent diffusion framework for any-to-any generation tha...

Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $β$-VAE and Quantum Kernels

This paper presents a two-stage Hybrid Classical-Quantum (HCQ) pipeline for binary Alzheimer's disea...

A multi-agent system for spine MRI report generation from multi-sequence imaging

Spinal pathology is a leading cause of pain and disability worldwide. Spine magnetic resonance imagi...

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation

Few-step diffusion distillation has become increasingly mature for 4-8-step generation, yet pushing ...

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