diff --git a/README.md b/README.md
index d58360dd2..32ae1cbac 100644
--- a/README.md
+++ b/README.md
@@ -83,6 +83,7 @@ In addition, you can find a table of the basic supported fields, modalities, vie
       <li>Segmentation</li>
       <li>DeepGrow</li>
       <li>DeepEdit</li>
+      <li>VISTA3D (Universal)</li>
       <li>SAM2 (2D/3D)</li>
     </ul>
   </td>
@@ -345,6 +346,11 @@ monailabel start_server --app apps/radiology --studies datasets/Task09_Spleen/im
     - [MONAILabel: Multi-organ Segmentation with 3D Slicer](https://github.com/Project-MONAI/tutorials/blob/main/monailabel/monailabel_monaibundle_3dslicer_multiorgan_seg.ipynb): Multi-organ segmentation with CT scans in 3D Slicer.
     - [MONAILabel: Whole Body CT Segmentation with 3D Slicer](https://github.com/Project-MONAI/tutorials/blob/main/monailabel/monailabel_wholebody_totalSegmentator_3dslicer.ipynb): Whole body (104 structures) segmentation with CT scans.
     - [MONAILabel: Lung nodule CT Detection with 3D Slicer](https://github.com/Project-MONAI/tutorials/blob/main/monailabel/monailabel_monaibundle_3dslicer_lung_nodule_detection.ipynb): Lung nodule detection task with CT scans.
+- **VISTA3D App**:
+  - Viewer: [OHIF](https://ohif.org/) | [3D Slicer](https://www.slicer.org/) | Datastore: Local/DICOM Web | Task: Multi-organ Segmentation
+    - [MONAILabel: VISTA3D Quick Start](docs/source/tutorials/vista3d_quickstart.md): Fast setup guide for VISTA3D universal segmentation model.
+    - [MONAILabel: VISTA3D Complete Tutorial](docs/source/tutorials/vista3d_tutorial.md): Comprehensive tutorial for VISTA3D model setup, interactive prompting, and multi-organ segmentation workflows with 117+ anatomical structures.
+    - [MONAILabel: VISTA3D Configuration Examples](docs/source/tutorials/vista3d_configurations.md): Sample configurations for different VISTA3D deployment scenarios.
 - **Pathology App**:
   - Viewer: [QuPath](https://qupath.github.io/) | Datastore: Local | Task: Segmentation
     - [MONAILabel: Nuclei Segmentation with QuPath](https://github.com/Project-MONAI/tutorials/blob/main/monailabel/monailabel_pathology_nuclei_segmentation_QuPath.ipynb) Nuclei segmentation with QuPath setup and Nuclick models.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 95bd2c749..fd9bdb719 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -80,6 +80,7 @@ Table of Contents
    whatsnew
    installation
    quickstart
+   tutorials
    modules
    appdeployment
    apis
diff --git a/docs/source/tutorials.rst b/docs/source/tutorials.rst
new file mode 100644
index 000000000..c9576fc07
--- /dev/null
+++ b/docs/source/tutorials.rst
@@ -0,0 +1,95 @@
+.. comment
+    Copyright (c) MONAI Consortium
+    Licensed under the Apache License, Version 2.0 (the "License");
+    you may not use this file except in compliance with the License.
+    You may obtain a copy of the License at
+        http://www.apache.org/licenses/LICENSE-2.0
+    Unless required by applicable law or agreed to in writing, software
+    distributed under the License is distributed on an "AS IS" BASIS,
+    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    See the License for the specific language governing permissions and
+    limitations under the License.
+
+=========
+Tutorials
+=========
+
+This section provides comprehensive tutorials for using MONAI Label with advanced models and viewers.
+
+VISTA3D Universal Segmentation
+===============================
+
+VISTA3D is a universal foundation model for 3D CT segmentation that can segment 117+ anatomical structures 
+including organs, bones, vessels, and soft tissues. It supports both automatic and interactive segmentation workflows.
+
+**Quick Start**
+
+For immediate setup and basic usage, see the `VISTA3D Quick Start Guide`_.
+
+**Complete Tutorial** 
+
+For comprehensive instructions including advanced configuration, troubleshooting, and clinical workflows, 
+see the `VISTA3D Complete Tutorial`_.
+
+**Configuration Examples**
+
+For sample configurations covering different deployment scenarios (memory optimization, PACS integration, 
+multi-model setup, etc.), see the `VISTA3D Configuration Examples`_.
+
+Key Features
+------------
+
+- **Universal Segmentation**: Supports 117+ anatomical classes
+- **Interactive Prompting**: Point-based and class-based interactive segmentation  
+- **Multi-Viewer Support**: Works with OHIF and 3D Slicer
+- **High Performance**: Optimized for clinical workflows
+- **Flexible Deployment**: Local, cloud, and PACS integration options
+
+Supported Viewers
+-----------------
+
+VISTA3D integration is available through:
+
+- **OHIF Viewer**: Web-based DICOM viewer with full VISTA3D support
+- **3D Slicer**: Desktop application with VISTA3D capabilities
+
+Prerequisites
+-------------
+
+- Python 3.8+ with MONAI Label installed
+- NVIDIA GPU with 8GB+ VRAM (16GB+ recommended)  
+- CT data in DICOM or NIfTI format
+- Compatible viewer (OHIF or 3D Slicer)
+
+Basic Usage
+-----------
+
+1. **Setup**::
+
+    # Download bundle app
+    monailabel apps --download --name monaibundle --output apps
+    
+    # Start VISTA3D server  
+    monailabel start_server \\
+      --app apps/monaibundle \\
+      --studies datasets/ct_volumes \\
+      --conf models vista3d \\
+      --conf preload true
+
+2. **Automatic Segmentation**: Load CT volume and run auto-segmentation for 117+ structures
+
+3. **Interactive Prompting**: Use point prompts to refine segmentation of specific anatomy  
+
+4. **Class Selection**: Choose anatomical categories (organs, bones, vessels) for targeted segmentation
+
+For detailed instructions, examples, and troubleshooting, refer to the tutorial links above.
+
+Additional Resources
+====================
+
+For more MONAI Label tutorials covering other models and use cases, visit the 
+`MONAI Tutorials Repository <https://github.com/Project-MONAI/tutorials/tree/main/monailabel>`_.
+
+.. _VISTA3D Quick Start Guide: tutorials/vista3d_quickstart.md
+.. _VISTA3D Complete Tutorial: tutorials/vista3d_tutorial.md  
+.. _VISTA3D Configuration Examples: tutorials/vista3d_configurations.md
\ No newline at end of file
diff --git a/docs/source/tutorials/README.md b/docs/source/tutorials/README.md
new file mode 100644
index 000000000..5c0b47e9c
--- /dev/null
+++ b/docs/source/tutorials/README.md
@@ -0,0 +1,23 @@
+# MONAI Label Tutorials
+
+This directory contains comprehensive tutorials for using MONAI Label with various models and viewers.
+
+## Available Tutorials
+
+### VISTA3D Universal Segmentation
+- **[VISTA3D Quick Start](vista3d_quickstart.md)** - Get started with VISTA3D in minutes
+- **[VISTA3D Complete Tutorial](vista3d_tutorial.md)** - Comprehensive guide for VISTA3D setup and usage
+- **[VISTA3D Configuration Examples](vista3d_configurations.md)** - Sample configurations for different deployment scenarios
+
+### Getting Started
+1. Start with the [Quick Start Guide](vista3d_quickstart.md) for immediate setup
+2. Read the [Complete Tutorial](vista3d_tutorial.md) for detailed instructions
+3. Use [Configuration Examples](vista3d_configurations.md) for specific deployment needs
+
+### Prerequisites
+- MONAI Label installed
+- Compatible viewer (OHIF, 3D Slicer)
+- CT data for segmentation
+- GPU recommended for optimal performance
+
+For general MONAI Label tutorials, visit the [MONAI Tutorials Repository](https://github.com/Project-MONAI/tutorials/tree/main/monailabel).
\ No newline at end of file
diff --git a/docs/source/tutorials/vista3d_configurations.md b/docs/source/tutorials/vista3d_configurations.md
new file mode 100644
index 000000000..298fc2daa
--- /dev/null
+++ b/docs/source/tutorials/vista3d_configurations.md
@@ -0,0 +1,187 @@
+# VISTA3D Configuration Examples
+
+This document provides sample configurations for integrating VISTA3D with MONAI Label.
+
+## Basic VISTA3D Server Configuration
+
+### 1. Standard Setup
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf preload true \
+  --conf skip_trainers true
+```
+
+### 2. Memory-Optimized Setup
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf vista3d_patch_size "[64,64,64]" \
+  --conf vista3d_overlap 0.125 \
+  --conf vista3d_cpu_fallback true
+```
+
+### 3. High-Performance Setup
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf vista3d_patch_size "[128,128,128]" \
+  --conf vista3d_overlap 0.5 \
+  --conf preload true \
+  --conf workers 4
+```
+
+## VISTA3D with DICOM Web
+
+### 4. PACS Integration
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies "http://pacs.hospital.com/dicom-web" \
+  --studies_user "username" \
+  --studies_password "password" \
+  --conf models vista3d \
+  --conf preload true
+```
+
+## Custom VISTA3D Bundle Configuration
+
+### 5. Custom Bundle Path
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models "vista3d:/path/to/custom/vista3d/bundle" \
+  --conf vista3d_prompting true
+```
+
+## Multi-Model Setup
+
+### 6. VISTA3D with Other Models
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models "vista3d,spleen_ct_segmentation,swin_unetr_btcv_segmentation" \
+  --conf preload true
+```
+
+## VISTA3D with Interactive Features
+
+### 7. Full Interactive Setup
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf vista3d_prompting true \
+  --conf vista3d_point_prompts true \
+  --conf vista3d_class_prompts true \
+  --conf preload true
+```
+
+## Development and Testing
+
+### 8. Debug Configuration
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf debug true \
+  --conf vista3d_cache_transforms false \
+  --log_level DEBUG
+```
+
+### 9. Performance Profiling
+```bash
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d \
+  --conf profile true \
+  --conf vista3d_profile_inference true
+```
+
+## Docker Deployment
+
+### 10. Docker with VISTA3D
+```bash
+docker run --gpus all --rm -ti \
+  -p 8000:8000 \
+  -v /data/ct_volumes:/data/studies \
+  -v /data/models:/data/models \
+  projectmonai/monailabel:latest \
+  monailabel start_server \
+    --app /opt/monailabel/sample-apps/monaibundle \
+    --studies /data/studies \
+    --conf models vista3d \
+    --conf preload true \
+    --host 0.0.0.0
+```
+
+## Configuration Parameters
+
+| Parameter | Description | Default | Example |
+|-----------|-------------|---------|---------|
+| `vista3d_patch_size` | Input patch size for inference | `[96,96,96]` | `"[64,64,64]"` |
+| `vista3d_overlap` | Sliding window overlap ratio | `0.25` | `0.5` |
+| `vista3d_prompting` | Enable interactive prompting | `false` | `true` |
+| `vista3d_point_prompts` | Enable point-based prompting | `true` | `false` |
+| `vista3d_class_prompts` | Enable class-based prompting | `true` | `false` |
+| `vista3d_cpu_fallback` | Use CPU when GPU memory insufficient | `false` | `true` |
+| `vista3d_cache_transforms` | Cache preprocessing transforms | `true` | `false` |
+| `vista3d_profile_inference` | Profile inference performance | `false` | `true` |
+
+## Environment Variables
+
+```bash
+# Set GPU memory fraction
+export CUDA_VISIBLE_DEVICES=0
+export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
+
+# Set cache directories
+export MONAI_CACHE_DIR=/data/cache
+export VISTA3D_CACHE_DIR=/data/vista3d_cache
+
+# Start server with environment
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d
+```
+
+## Troubleshooting Common Configurations
+
+### GPU Memory Issues
+```bash
+# Reduce memory usage
+--conf vista3d_patch_size "[48,48,48]"
+--conf vista3d_overlap 0.125
+--conf vista3d_cpu_fallback true
+```
+
+### Network/Download Issues
+```bash
+# Use local model cache
+--conf zoo_source local
+--conf model_path /local/path/to/vista3d
+
+# Use alternative zoo repo
+--conf zoo_repo "custom-repo/model-zoo"
+```
+
+### Performance Optimization
+```bash
+# Optimize for speed
+--conf vista3d_patch_size "[128,128,128]"
+--conf vista3d_overlap 0.5
+--conf workers 8
+--conf preload true
+```
\ No newline at end of file
diff --git a/docs/source/tutorials/vista3d_quickstart.md b/docs/source/tutorials/vista3d_quickstart.md
new file mode 100644
index 000000000..0503eea20
--- /dev/null
+++ b/docs/source/tutorials/vista3d_quickstart.md
@@ -0,0 +1,79 @@
+# VISTA3D Quick Start Guide
+
+This quick start guide helps you get VISTA3D running with MONAI Label in minutes.
+
+## What is VISTA3D?
+
+VISTA3D is a universal foundation model for 3D CT segmentation that can segment 117+ anatomical structures including organs, bones, vessels, and soft tissues. It supports both automatic and interactive segmentation workflows.
+
+## Quick Setup
+
+### 1. Prerequisites
+- Python 3.8+
+- NVIDIA GPU with 8GB+ VRAM
+- MONAI Label installed
+
+### 2. Download and Start
+```bash
+# Download the bundle app
+monailabel apps --download --name monaibundle --output apps
+
+# Start VISTA3D server
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies /path/to/ct/volumes \
+  --conf models vista3d \
+  --conf preload true
+```
+
+### 3. Connect Viewer
+
+**For OHIF Viewer:**
+```bash
+cd apps/monaibundle
+# Follow OHIF setup instructions in main tutorial
+```
+
+**For 3D Slicer:**
+1. Install MONAI Label extension
+2. Connect to server at `http://localhost:8000`
+3. VISTA3D models will appear automatically
+
+## Basic Usage
+
+### Automatic Segmentation
+1. Load CT volume in your viewer
+2. Select VISTA3D model
+3. Run auto-segmentation for 117+ structures
+
+### Interactive Prompting
+1. Choose target anatomy (e.g., liver, kidney)
+2. Click positive points on the structure
+3. Right-click negative points (optional)
+4. Generate refined segmentation
+
+### Class Selection
+1. Choose anatomical categories:
+   - Organs (liver, spleen, kidneys, etc.)
+   - Bones (vertebrae, ribs, pelvis, etc.)
+   - Vessels (aorta, vena cava, etc.)
+2. Run targeted segmentation
+
+## Common Use Cases
+
+- **Clinical**: Multi-organ analysis, surgical planning
+- **Research**: Anatomical quantification, population studies
+- **AI Development**: Training data generation, model evaluation
+
+## Need Help?
+
+- 📖 [Complete VISTA3D Tutorial](vista3d_tutorial.md)
+- 🐛 [Report Issues](https://github.com/Project-MONAI/MONAILabel/issues)
+- 💬 [Community Support](https://projectmonai.slack.com/)
+
+## Next Steps
+
+- Explore advanced configuration options
+- Set up automated workflows
+- Integrate with clinical systems
+- Customize for specific use cases
\ No newline at end of file
diff --git a/docs/source/tutorials/vista3d_tutorial.md b/docs/source/tutorials/vista3d_tutorial.md
new file mode 100644
index 000000000..b50ec548d
--- /dev/null
+++ b/docs/source/tutorials/vista3d_tutorial.md
@@ -0,0 +1,273 @@
+# VISTA3D Tutorial for MONAI Label
+
+VISTA3D (Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography) is an advanced foundation model for 3D medical image segmentation that can segment a wide variety of anatomical structures in CT volumes.
+
+## Overview
+
+VISTA3D is designed to work as a universal segmentation model that can handle multiple anatomical structures simultaneously. It supports both automatic segmentation and interactive segmentation with point prompts, making it highly versatile for clinical workflows.
+
+### Key Features
+
+- **Universal Segmentation**: Supports 117+ anatomical classes including organs, bones, vessels, and tumors
+- **Interactive Prompting**: Point-based interactive segmentation for precise control
+- **Class-based Prompting**: Segment specific anatomical structures by class selection
+- **3D Native**: Designed specifically for 3D CT volumes
+- **High Performance**: State-of-the-art segmentation accuracy across diverse anatomy
+
+## Supported Viewers
+
+VISTA3D integration is currently available through:
+
+- **OHIF Viewer**: Web-based DICOM viewer with full VISTA3D support
+- **3D Slicer**: Desktop application with VISTA3D capabilities (requires bundle integration)
+
+## Prerequisites
+
+### System Requirements
+
+- **GPU**: NVIDIA GPU with at least 8GB VRAM (16GB+ recommended)
+- **RAM**: 16GB+ system memory
+- **Python**: Python 3.8+ with MONAI Label installed
+- **Storage**: Several GB for model weights
+
+### Software Installation
+
+1. Install MONAI Label with VISTA3D dependencies:
+```bash
+pip install monailabel[vista3d]
+```
+
+2. For development/latest features:
+```bash
+git clone https://github.com/Project-MONAI/MONAILabel
+cd MONAILabel
+pip install -e .
+```
+
+## Data Preparation
+
+VISTA3D works with standard CT DICOM series or NIfTI volumes. Prepare your data as follows:
+
+### For Local Datastore
+```
+datasets/
+├── ct_volume_001.nii.gz
+├── ct_volume_002.nii.gz
+└── ...
+```
+
+### For DICOM Web
+Ensure your PACS/DICOM server supports DICOMWeb standard for direct integration.
+
+## Setting Up VISTA3D
+
+### Method 1: Using MONAIBundle App (Recommended)
+
+The VISTA3D model can be integrated through the MONAI Bundle application:
+
+```bash
+# Download the monaibundle app
+monailabel apps --download --name monaibundle --output apps
+
+# Start server with VISTA3D model (when available in model zoo)
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d_v1.0.0 \
+  --conf preload true
+```
+
+### Method 2: Custom VISTA3D Configuration
+
+For advanced users wanting to customize VISTA3D behavior:
+
+1. Create a custom configuration in your bundle app:
+```python
+# lib/configs/vista3d_config.py
+from monailabel.tasks.infer.bundle import BundleInferTask
+
+class VISTA3DConfig:
+    def __init__(self):
+        self.model_name = "vista3d"
+        self.bundle_path = "path/to/vista3d/bundle"
+        self.labels = {
+            "liver": 1,
+            "spleen": 2,
+            "kidney_left": 3,
+            "kidney_right": 4,
+            # ... additional anatomical labels
+        }
+```
+
+## Usage Examples
+
+### 1. Automatic Segmentation
+
+Start the server and use the Auto Segmentation feature:
+
+```bash
+# Start MONAI Label server
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets/ct_volumes \
+  --conf models vista3d_v1.0.0
+
+# Open OHIF viewer and navigate to:
+# http://localhost:3000/viewer?StudyInstanceUIDs=<study_id>
+```
+
+In the OHIF viewer:
+1. Load a CT volume
+2. Open MONAI Label plugin panel
+3. Select "Auto Segmentation" tab
+4. Choose VISTA3D model
+5. Click "Run Segmentation" for automatic multi-organ segmentation
+
+### 2. Interactive Point Prompting
+
+For targeted segmentation with point prompts:
+
+1. Load CT volume in OHIF viewer
+2. Select "Point Prompts" tab in MONAI Label panel
+3. Choose VISTA3D model
+4. Select target anatomical structure from dropdown
+5. Click on the structure in the image to add positive points
+6. Right-click to add negative points (background)
+7. Click "Run Inference" to generate segmentation
+
+### 3. Class-based Prompting
+
+For segmenting specific anatomical categories:
+
+1. Select "Class Prompts" tab
+2. Choose VISTA3D model
+3. Select anatomical categories:
+   - **Organs**: Liver, spleen, kidneys, etc.
+   - **Bones**: Vertebrae, ribs, pelvis, etc.
+   - **Vessels**: Aorta, vena cava, pulmonary vessels, etc.
+4. Click "Run Inference" to segment selected classes
+
+## Advanced Configuration
+
+### Model Parameters
+
+VISTA3D supports various inference parameters that can be configured:
+
+```bash
+# Start with custom parameters
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets \
+  --conf models vista3d_v1.0.0 \
+  --conf vista3d_patch_size "[96,96,96]" \
+  --conf vista3d_overlap 0.25 \
+  --conf vista3d_batch_size 1
+```
+
+### Memory Optimization
+
+For systems with limited GPU memory:
+
+```bash
+# Use smaller patch sizes and enable CPU fallback
+monailabel start_server \
+  --app apps/monaibundle \
+  --studies datasets \
+  --conf models vista3d_v1.0.0 \
+  --conf vista3d_patch_size "[64,64,64]" \
+  --conf vista3d_cpu_fallback true
+```
+
+## Viewer-Specific Instructions
+
+### OHIF Viewer Setup
+
+1. **Install OHIF with MONAI Label Extension**:
+```bash
+# Clone OHIF with MONAI Label extension
+git clone https://github.com/Project-MONAI/MONAILabel
+cd MONAILabel/plugins/ohifv3
+
+# Install dependencies and start
+npm install
+npm run dev
+```
+
+2. **Configure OHIF for VISTA3D**:
+   - The OHIF extension automatically detects VISTA3D models
+   - Point prompts and class prompts are available in the MONAI Label panel
+   - Auto segmentation supports multi-organ prediction
+
+### 3D Slicer Integration
+
+For 3D Slicer users:
+
+1. **Install MONAI Label Extension**:
+   - Open 3D Slicer
+   - Go to Extension Manager
+   - Search and install "MONAI Label"
+
+2. **Connect to VISTA3D Server**:
+   - Open MONAI Label module
+   - Set server URL: `http://localhost:8000`
+   - VISTA3D models will appear in the model selection
+
+## Troubleshooting
+
+### Common Issues
+
+1. **GPU Memory Errors**:
+   - Reduce patch size: `--conf vista3d_patch_size "[48,48,48]"`
+   - Enable CPU inference: `--conf vista3d_device cpu`
+
+2. **Model Loading Failures**:
+   - Verify VISTA3D bundle is correctly downloaded
+   - Check network connectivity for model zoo access
+   - Ensure sufficient disk space for model weights
+
+3. **Slow Inference**:
+   - Verify GPU is being used: check `nvidia-smi`
+   - Optimize batch size based on available GPU memory
+   - Consider model quantization for faster inference
+
+### Performance Tips
+
+- **Preload Models**: Use `--conf preload true` for faster first inference
+- **Batch Processing**: Process multiple volumes in sequence for efficiency
+- **ROI Selection**: Use viewer tools to define regions of interest for faster processing
+
+## Example Workflows
+
+### Clinical Workflow: Abdominal Organ Segmentation
+
+1. Load abdominal CT scan in OHIF
+2. Select VISTA3D model
+3. Use "Class Prompts" to select:
+   - Liver
+   - Spleen  
+   - Left/Right Kidneys
+   - Pancreas
+4. Run segmentation and review results
+5. Use point prompts to refine any inaccurate regions
+6. Export segmentations for clinical use
+
+### Research Workflow: Comprehensive Anatomy Analysis
+
+1. Load full-body CT scan
+2. Run automatic segmentation with VISTA3D
+3. Review 117+ automatically segmented structures
+4. Use interactive prompts to add/remove structures as needed
+5. Export detailed anatomical segmentations for analysis
+
+## References
+
+- [VISTA3D Paper](https://arxiv.org/abs/2406.05285): Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography
+- [MONAI Bundle Specification](https://docs.monai.io/en/latest/mb_specification.html)
+- [MONAI Label Documentation](https://docs.monai.io/projects/label/en/latest/)
+
+## Support
+
+For VISTA3D-specific issues:
+- Check [MONAI Label GitHub Issues](https://github.com/Project-MONAI/MONAILabel/issues)
+- Join [MONAI Slack Community](https://projectmonai.slack.com/)
+- Review [MONAI Label Discussions](https://github.com/Project-MONAI/MONAILabel/discussions)
\ No newline at end of file
diff --git a/sample-apps/monaibundle/README.md b/sample-apps/monaibundle/README.md
index 9b9b67191..7ba150ef3 100644
--- a/sample-apps/monaibundle/README.md
+++ b/sample-apps/monaibundle/README.md
@@ -43,6 +43,7 @@ The MONAIBundle App currently supports most labeling models in the Model-Zoo. Yo
 | [spleen_deepedit_annotation](https://github.com/Project-MONAI/model-zoo/tree/dev/models/spleen_deepedit_annotation) | DeepEdit | Spleen| CT | An interactive method for 3D spleen Segmentation |
 | [lung_nodule_ct_detection](https://github.com/Project-MONAI/model-zoo/tree/dev/models/lung_nodule_ct_detection) | RetinaNet | Lung Nodule| CT | The detection model for 3D CT images |
 | [wholeBody_ct_segmentation](https://github.com/Project-MONAI/model-zoo/tree/dev/models/wholeBody_ct_segmentation) | SegResNet | 104 body structures| CT | The segmentation model for 104 tissue from 3D CT images (TotalSegmentator Dataset) |
+| [vista3d](https://github.com/Project-MONAI/model-zoo/tree/dev/models/vista3d) | VISTA3D | 117+ anatomical structures | CT | Universal foundation model for 3D CT segmentation with interactive prompting and multi-organ support |
 
 
 ### How To Use the App
@@ -65,6 +66,12 @@ monailabel start_server --app workspace/monaibundle --studies workspace/images -
 
 # Skip Training Tasks or Infer only mode
 monailabel start_server --app workspace/monaibundle --studies workspace/images --conf models spleen_ct_segmentation_v0.1.0 --conf skip_trainers true
+
+# Use VISTA3D for universal multi-organ segmentation
+monailabel start_server --app workspace/monaibundle --studies workspace/images --conf models vista3d --conf preload true
+
+# Use VISTA3D with interactive prompting enabled
+monailabel start_server --app workspace/monaibundle --studies workspace/images --conf models vista3d --conf vista3d_prompting true
 ```
 
 **Specify bundle version** (Optional)
@@ -197,4 +204,8 @@ To set configuration parameters for MONAI Label Server, use the `--conf <name> <
 | skip_trainers             | true, **false** | Skip adding training tasks (Run in Infer mode only)                                         |
 | epistemic_max_samples     | int             | _Default value:_ 0    ;  Epistemic scoring parameters                                       |
 | epistemic_simulation_size | int             | _Default value:_ 5    ;  Epistemic simulation size parameters                               |
-| epistemic_dropout         | float           | _Default value:_ 0.2  ;  Epistemic scoring parameters: Dropout rate for scoring models      |                               |
+| epistemic_dropout         | float           | _Default value:_ 0.2  ;  Epistemic scoring parameters: Dropout rate for scoring models      |
+| vista3d_prompting         | true, **false** | Enable interactive point and class prompting for VISTA3D                                   |
+| vista3d_patch_size        | array           | _Default value:_ [96,96,96]  ;  Patch size for VISTA3D inference                           |
+| vista3d_overlap           | float           | _Default value:_ 0.25  ;  Sliding window overlap for VISTA3D                              |
+| vista3d_cpu_fallback      | true, **false** | Use CPU inference when GPU memory is insufficient                                          |                               |