Lunit is a medical AI company dedicated to conquering cancer. It provides AI-powered solutions for cancer diagnostics and therapeutics, helping clinicians detect early-stage cancer with greater accuracy and predict patient response to treatment. Its products analyze medical images and tissue data to improve clinical outcomes.
Neural4D is an advanced AI platform for 4D medical imaging analysis. It leverages deep learning to process spatio-temporal data from dynamic CT, MRI, and PET scans, enabling faster diagnostics, precise tumor tracking, and quantitative analysis of physiological functions for healthcare professionals and researchers.
Product overview
Lunit Product overview
Lunit is a medical AI company dedicated to conquering cancer. It provides AI-powered solutions for cancer diagnostics and therapeutics, helping clinicians detect early-stage cancer with greater accuracy and predict patient response to treatment. Its products analyze medical images and tissue data to improve clinical outcomes.
Neural4D Product overview
Neural4D is an advanced AI platform for 4D medical imaging analysis. It leverages deep learning to process spatio-temporal data from dynamic CT, MRI, and PET scans, enabling faster diagnostics, precise tumor tracking, and quantitative analysis of physiological functions for healthcare professionals and researchers.
Detailed feature comparison
| Feature | Lunit | Neural4D |
|---|---|---|
| Primary category | Predictive Analytics | Data Visualization |
| Added | 2025-08-02 | 2025-08-06 |
| Pricing | Not verified | Paid |
| Official website | www.lunit.io | www.neural4d.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 38.4K | 427.5K |
| Monthly growth | -7.6% | 39.7% |
| Favorites | 89 | 99 |
| Details | View details | View details |
Lunit vs Neural4D monthly traffic
Compare Lunit and Neural4D by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Lunit vs Neural4D monthly traffic comparison, Lunit currently shows 38.4K visits and Neural4D shows 427.5K; Neural4D has about 11.1 times the visible traffic of Lunit, an absolute difference of about 389.2K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Lunit is registered at the www.lunit.io/en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Lunit monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 35.8K Monthly visits
- 2026/2: 35.2K Monthly visits
- 2026/3: 41.4K Monthly visits
- 2026/4: 41.5K Monthly visits
- 2026/5: 38.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 36.04% | 13.8K |
| 🇰🇷Korea, Republic of | 25.34% | 9.7K |
| 🇮🇳India | 16.94% | 6.5K |
| 🇻🇳Vietnam | 14.38% | 5.5K |
| 🇹🇷Turkey | 7.3% | 2.8K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 92.51% | 35.5K |
| Referral | 5.74% | 2.2K |
| 1.75% | 671 |
Search keywords
Neural4D monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 2.2K Monthly visits
- 2026/1: 25K Monthly visits
- 2026/2: 55.1K Monthly visits
- 2026/3: 138.4K Monthly visits
- 2026/4: 306K Monthly visits
- 2026/5: 427.5K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 36.78% | 157.2K |
| 🇺🇸United States | 33.97% | 145.2K |
| 🇷🇺Russia | 17.49% | 74.8K |
| 🇮🇳India | 6.41% | 27.4K |
| 🇧🇷Brazil | 5.35% | 22.9K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 81.72% | 349.4K |
| Referral | 17.96% | 76.8K |
| 0.32% | 1.4K |
Search keywords
Usage comparison
Compare the core capabilities of Lunit and Neural4D
Lunit Core features
Neural4D Core features
Use cases
Lunit Use cases
Neural4D Use cases
Lunit vs Neural4D:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Lunit vs Neural4D comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Lunit is primarily listed under “Predictive Analytics”, while Neural4D is primarily listed under “Data Visualization”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Lunit: Predictive Analytics; Neural4D: Data Visualization); Pricing (Lunit: Not disclosed; Neural4D: Paid); Monthly visits (Lunit: 38.4K; Neural4D: 427.5K); Monthly growth (Lunit: -7.6%; Neural4D: 39.7%); Favorites (Lunit: 89; Neural4D: 99). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Lunit vs Neural4D monthly traffic comparison, Lunit currently shows 38.4K visits and Neural4D shows 427.5K; Neural4D has about 11.1 times the visible traffic of Lunit, an absolute difference of about 389.2K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Lunit is registered at the www.lunit.io/en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
If public market visibility is an important first-pass criterion, investigate Neural4D first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Lunit and Neural4D currently overlap in shared categories: Medical Imaging; shared tags: deep learning, medical imaging, and oncology. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Lunit's unique categories/tags are Predictive Analytics, Oncology, AI diagnostics, biomarker, cancer detection, healthcare AI, immunotherapy, and radiology; Neural4D's are Data Visualization, Automation, 4D analysis, AI doctor, cardiology, CT scan, data visualization, and diagnostics. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Lunit has no verified rating, 0 comments, 89 favorites, and 96 likes;Neural4D has no verified rating, 0 comments, 99 favorites, and 130 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Lunit first
Put Lunit on the priority trial list when the task aligns with “Predictive Analytics” and especially Predictive Analytics, Oncology, AI diagnostics, biomarker, cancer detection, and healthcare AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
Lunit also currently records: pricing is not verified, product type is website, 38.4K monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Neural4D first
Put Neural4D on the priority trial list when the task aligns with “Data Visualization” and especially Data Visualization, Automation, 4D analysis, AI doctor, cardiology, and CT scan. This follows recorded positioning and does not imply unlisted capabilities are absent.
Neural4D also currently records: pricing is paid, product type is website, 427.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Lunit and Neural4D, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Lunit and Neural4D?
Where does this comparison data come from?
What do unknown fields mean?
Related AI tools

Segmed
Segmed provides large-scale access to de-identified, diagnostic-grade medical imaging data for AI development and clinical research. Its platform, Openda, offers millions of tokenized studies from a diverse global network of healthcare providers. Segmed accelerates innovation for life sciences, medical device, and technology companies by providing regulatory-grade, multimodal datasets crucial for training AI models, validation, and securing FDA/CE clearance.
Datasets
edenmed
edenmed is an AI-powered, cloud-native healthcare platform designed for medical institutions. It offers an integrated suite of tools including an ultra-fast PACS for medical imaging, an AI diagnostic assistant, a comprehensive management system (RIS), and business intelligence analytics to streamline operations, enhance diagnostic accuracy, and improve the patient experience.
Medical Imaging
MONAI
MONAI (Medical Open Network for AI) is a free, open-source, PyTorch-based framework designed to accelerate AI in healthcare. It provides a comprehensive ecosystem of tools for researchers and clinicians, covering the entire AI lifecycle from data annotation and model training (MONAI Core, MONAI Label) to clinical deployment (MONAI Deploy), bridging the gap between research and real-world application.
Data Annotation
MD.ai
MD.ai is a comprehensive AI platform for radiology, offering DICOM-native data annotation tools to build and validate medical imaging AI models, and an LLM-powered reporting system to supercharge clinical workflows for radiologists, ensuring efficiency, accuracy, and compliance.
Data Annotation
RapidAI
RapidAI is a leading clinical AI platform that enhances medical imaging analysis for life-threatening conditions like stroke and aneurysm. It provides healthcare professionals with real-time, actionable insights to accelerate diagnosis, inform treatment decisions, and improve patient outcomes. The platform is backed by extensive clinical validation and multiple FDA clearances.
Medical Data
Rayscape
An AI-powered radiology platform designed to assist medical professionals in analyzing chest X-rays (CXR) and lung CT scans. It enhances diagnostic accuracy and efficiency by automatically detecting up to 148 pathologies, including lung nodules and tuberculosis, and seamlessly integrating into existing clinical workflows.
Diagnostics
X-ray Interpreter
X-ray Interpreter is an AI-powered platform that provides instant, detailed analysis of radiological images like X-rays, CT scans, MRIs, and ultrasounds. It offers a reliable second opinion for patients, families, and medical professionals, delivering easy-to-understand reports to empower informed healthcare decisions. The service is fast, secure, and cost-effective, with a free preview option.
Medical Imaging
PMcardio
PMcardio is a CE-certified, AI-powered medical device that provides instant, accurate interpretation of any 12-lead ECG. Trusted by over 100,000 clinicians, it helps medical professionals detect over 40 cardiovascular conditions, including life-threatening heart attacks like OMIs, in seconds. By simply taking a photo of an ECG, users get a reliable diagnosis, explainable results, and a powerful second opinion, improving patient outcomes and streamlining clinical workflows.
Medical Diagnostics
nuraaihealthscreening
Nura provides advanced AI-powered health screening services in India. Utilizing ultra-low-dose CT scans and AI-enhanced image analysis, Nura offers comprehensive, rapid, and safe detection of early-stage cancers, heart conditions, and lifestyle diseases. The entire process, from screening to a doctor's consultation, is completed within 120 minutes, focusing on preventive care and early diagnosis with minimal radiation exposure.
Medical Diagnostics
RSIP Vision
RSIP Vision is a world-class leader in providing custom AI and computer vision R&D solutions for medical imaging. With over 25 years of experience, they partner with medical device companies to develop innovative, clinically-proven software for diagnostics, surgical guidance, and image analysis across various medical fields.
Image Analysis
Azyri
Azyri is an AI-powered medical assistant designed for healthcare professionals, students, and researchers. It functions as a copilot, offering advanced analysis of medical images, such as fracture detection and pediatric bone age assessment, to enhance diagnostic accuracy and efficiency. Accessible via a web platform and API, Azyri aims to make high-quality healthcare technology affordable and universally available.
Api
Sinkove
Sinkove is an AI platform that generates high-quality, synthetic radiology data. It helps medical researchers and clinicians accelerate research, eliminate data bias, and reduce costs by creating customized, diverse, and regulatory-grade imaging datasets in seconds.
Synthetic Data Generation
Jiva.ai
Jiva.ai is a zero-code, end-to-end platform for rapid multimodal AI development. It empowers organizations to build, train, and deploy complex AI models using imaging, video, text, audio, and structured data, without needing extensive data science expertise.
Machine Learning
0xmd
0xmd is an advanced generative AI platform for medicine and healthcare. It utilizes specialized Large Language Models (LLMs) and Vision AI to understand clinical content, analyze health reports, scan medical images like X-rays and MRIs, detect skin diseases, and provide health information in over 50 languages. It serves as an intelligent assistant for both individuals and healthcare professionals.
Generative Ai
ibex_ai
Ibex is a leading AI-powered cancer diagnostics platform for pathology. It assists pathologists by improving the accuracy and efficiency of breast, prostate, and gastric cancer detection. The platform uses advanced deep learning algorithms to analyze tissue slides, identify cancerous cells, and provide critical diagnostic insights, acting as a trusted digital assistant in the lab.
Computer Vision



