ARXIV:2603.15513 · MEDICAL AI · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

Q: What products could be built from this research?

Why now — timing and market conditions: Vietnam's healthcare sector is rapidly digitizing with government support for AI adoption, and there's a shortage of radiologists relative to population growth, creating immediate demand for efficiency tools, while global VLMs are advancing but lack localization for non-English medical contexts.

Q: What are the practical use cases?

A cloud-based AI tool that analyzes chest X-rays for Vietnamese patients, generating preliminary findings in Vietnamese to assist radiologists in high-volume public hospitals, with a subscription model per scan or hospital license.

arXiv

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Blocked on Code›Score5.0Evidence unverified

Opportunity summary

Pain ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis. Recent advances in vision-language models (VLMs), such as Gemini and GPT-4V, have sparked a growing interest in applying AI…

METHOD

Full abstract

Vietnamese medical research has become an increasingly vital domain, particularly with the rise of intelligent technologies aimed at reducing time and resource burdens in clinical diagnosis. Recent advances in vision-language models (VLMs), such as Gemini and GPT-4V, have sparked a growing interest in applying AI to healthcare. However, most existing VLMs lack exposure to Vietnamese medical data, limiting their ability to generate accurate and contextually appropriate diagnostic outputs for Vietnamese patients. To address this challenge, we introduce ViX-Ray, a novel dataset comprising 5,400 Vietnamese chest X-ray images annotated with expert-written findings and impressions from physicians at a major Vietnamese hospital. We analyze linguistic patterns within the dataset, including the frequency of mentioned body parts and diagnoses, to identify domain-specific linguistic characteristics of Vietnamese radiology reports. Furthermore, we fine-tune five state-of-the-art open-source VLMs on ViX-Ray and compare their performance to leading proprietary models, GPT-4V and Gemini. Our results show that while several models generate outputs partially aligned with clinical ground truths, they often suffer from low precision and excessive hallucination, especially in impression generation. These findings not only demonstrate the complexity and challenge of our dataset but also establish ViX-Ray as a valuable benchmark for evaluating and advancing vision-language models in the Vietnamese clinical domain.

RESULT

ScienceToStartup currently rates this 5.0/10 on the public viability pass. Our results show that while several models generate outputs partially aligned with clinical ground truths, they often suffer from low precision and excessive hallucination,…

WHY NOW

Medical AI moved forward this cycle; last verified April 2026. Public score 5.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score5.0

PainViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ARXIV:2603.15513 · MEDICAL AI · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

arXiv

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Blocked on Code›Score5.0Evidence unverified

Opportunity summary

Pain ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

Medical AI moved forward this cycle; last verified April 2026. Public score 5.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score5.0

PainViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.15513

ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback45 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

5.0

Time to MVP

MVP estimate missing

Commercial

No commercial flags on file

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Medical AI moved forward this cycle; last verified April 2026. Public score 5.0/10.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis. Recent advances in vision-language models (VLMs), such as Gemini and GPT-4V, have sparked a growing interest in applying AI to healthcare.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Vietnamese medical research has become an increasingly vital domain, particularly with the rise of intelligent technologies aimed at reducing time and resource burdens in clinical diagnosis. Recent advances in vision-language models (VLMs), such as Gemini and GPT-4V, have sparked a growing interest in applying AI to healthcare.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 5.0/10 on the public viability pass. Our results show that while several models generate outputs partially aligned with clinical ground truths, they often suffer from low precision and excessive hallucination, especially in impression generation.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Medical AI moved forward this cycle; last verified April 2026. Public score 5.0/10.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Medical AI

Competitors

not indexed

Competitive landscape

ViX-Ray is a specialized dataset aimed at enhancing vision-language models for Vietnamese chest X-ray analysis.

Segment

Medical AI

Adoption evidence

No public code link in the paper record yet

Commercial read

5.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2603.15513 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(45)

Qwen2.5-VL Technical Report

2025Shuai Bai, Keqin Chen et al.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

2024Zhe Chen, Weiyun Wang et al.

Loki: An Open-Source Tool for Fact Verification

2024Haonan Li, Xudong Han et al.

Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese

2024Khang T. Doan, Bao G. Huynh et al.

MiniCPM-V: A GPT-4V Level MLLM on Your Phone

2024Yuan Yao, Tianyu Yu et al.

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs

2024Yuxia Wang, Minghan Wang et al.

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites

2024Zhe Chen, Weiyun Wang et al.

DeepSeek-VL: Towards Real-World Vision-Language Understanding

2024Haoyu Lu, Wen Liu et al.

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

2023Zhe Chen, Jiannan Wu et al.

Improved Baselines with Visual Instruction Tuning

2023Haotian Liu, Chunyuan Li et al.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

2023Zhengyuan Yang, Linjie Li et al.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

2023Chunyuan Li, Cliff Wong et al.

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

2023Sewon Min, Kalpesh Krishna et al.

OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese

2023Nghia Hieu Nguyen, Duong T.D. Vo et al.

GPT-4 Technical Report

2023OpenAI Josh Achiam, Steven Adler et al.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

2023Sheng Zhang, Yanbo Xu et al.

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

2023Sedigheh Eslami, C. Meinel et al.

UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese

2022Nghia Nguyen, Duong T.D. Vo et al.

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

2022Zifeng Wang, Zhenbang Wu et al.

Risk of Bias in Chest Radiography Deep Learning Foundation Models

2022B. Glocker, Charles Jones et al.

Showing 20 of 45 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

Prior WorkMultilingual Training and Evaluation Resources for Vision-Language Models

5.0

Extension

Builds On ThisAutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering

4.0

Builds On ThisParameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering

0.0

Commercially relevant

Higher ViabilitySeeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays

7.0

Higher ViabilityNeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders

7.0

Higher ViabilityRVLM: Recursive Vision-Language Models with Adaptive Depth

7.0

Higher ViabilityVIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs

8.0

Higher ViabilityIOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans

7.0

Higher ViabilityCheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

8.0

Conflicting

Competing ApproachAuditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation

3.0

Related Resources

What advancements are being made in medical AI?(question)
What advancements are being made in medical AI?(question)
Why is evidence-grounded reasoning important in medical AI?(question)
Medical AI – Use Cases(use_case)

Owned Distribution

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Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.15513
Route: /paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models
Active tab: read
Artifact: vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models/paper-pack
REST build passport API/api/v1/paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

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Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

Canonical ID vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models | Route /paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

MCP example

{
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  }
}

source_context

{
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  "topic_slug": null,
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  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Watch and verify: ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

/buildability/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

Watchwatch

Subject: ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

Paper ref

vix-ray-a-vietnamese-chest-x-ray-dataset-for-vision-language-models

arXiv id

2603.15513

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

2fb7e5c6a8547a043ee2ca0770465da02c1b3a21aba42457815b5e36e8f8f0ac

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

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ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

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