AI-Enabled vs. Human-Assisted Translation in Clinical Trials
Many clinical trials today are global in nature. Patients recruited into trials, as well as the researchers conducting them in different countries, often do not rely on English as their primary language. Accurate clinical trial translation is therefore essential to help study data, research, and related materials move consistently across languages and borders.
With recent advances in artificial intelligence (AI), medical translation workflows have expanded to include AI-powered translation and machine translation (MT), offering greater speed and efficiency for appropriate content. These technologies can be especially useful when handling large volumes of clinical trial documents, research materials, and regulatory content, while human review remains important where terminology, context, intended use, or certification requirements call for additional oversight.
Language Scientific supports human-only, AI-assisted, and AI-generated translation workflows depending on the needs of the project. For a closer look at where AI can add value and where its limitations matter, see our guide to the pros and cons of using AI in medical translations.
What Is AI-Enabled Translation?
According to an excerpt from Speakt, AI-enabled translation refers to the use of Natural Language Processing (NLP) and other AI learning algorithms to translate text from one language to another. The perceived goal of AI-enabled translation is to provide accurate translations quickly and efficiently.
There are two main approaches for how AI-enabled translation is utilized:
- Rule-based translation, which relies on pre-defined rules and dictionaries to translate.
- Statistical-model translation, which uses statistical models built upon large amounts of data in order to translate with a higher degree of quality.
What Is AI Human-Assisted Translation?
AI human-assisted translation is the human verification and authentication of translations initiated via AI. It combines the strengths of both to overcome the limitations of pure automation. This methodology involves accredited human translators working alongside AI systems to enhance translation accuracy, contextual quality, and localization.
In the human step of the process, an expert language reviewer checks and edits the AI-enabled translation before it is considered final. Human experts also help train AI programs over time to generate more accurate context and translations personalized to each project, which is a very important aspect for locally administered medical research and clinical trial protocols.
Comparing AI-Enabled and AI Human-Assisted Translation
AI-Enabled Translation
At the highest level, AI-enabled translation can quickly review and translate large volumes of content in a cost-effective manner.
- Well-suited applications may include large-scale, repetitive translation tasks where speed and volume are major considerations.
- Historical language data can help identify recurring terminology and common scientific phrasing.
- AI systems can support multiple languages and continue to improve as the underlying models and available data evolve.
- Automated tools can reduce some forms of manual effort, though their output still depends on the quality of the model, source content, and language pair.
- Some systems can work across multiple languages within the same document or workflow.
- Integration with medical and research platforms can also improve efficiency by reducing handoffs between systems.
AI Human-Assisted Translation
AI human-assisted translation eliminates accuracy issues caused by ambiguity in the materials being translated, which can only be corrected by a human subject matter expert (SME) who understands the underlying context.
- Only humans can get more data from the author to understand the actual meaning and deliver the correct interpretation.
- With uncommon medical terminology, only humans can research the overall protocol requirements and find the best linguistic equivalent.
- With localization issues, only humans can develop a translation strategy based on locally appropriate language nuances.
- In situations where complex scientific explanations need to be simplified for clarity, only humans can delve into the meaning of sentences enough to simplify them without misrepresenting what they are trying to convey.
Fast Clinical Translation Still Requires the Right Review
Speed and volume matter in global clinical trials, but the workflow still has to match the content and how it will be used. Regulatory considerations, quality assurance, and certification needs can all affect how much automation and human review belong in the process.
| Generic fast translation approach | Language Scientific clinical translation approach | |
|---|---|---|
| Workflow selection | Often centers on turnaround, cost, or volume | Matches the approach to the content, intended use, complexity, timeline, and review needs |
| Human expertise | Varies by provider and service level | Brings in qualified linguists and clinical subject matter experts where needed |
| Quality assurance | Depends on the service selected | Builds review and quality controls around the clinical content |
| Regulatory and certification needs | May require separate review or certification | Can incorporate expert review and certification into manual, AI-assisted, and AI-generated workflows |
Frequently Asked Questions
Can AI be used for clinical trial translation?
Yes. AI-powered translation and machine translation (MT) can support clinical trial translation when the content is suitable for automation. Language Scientific can use human-only, AI-assisted, or AI-generated workflows depending on the document, language pair, and level of review required.
AI vs. human medical translation: Which is better for clinical trials?
Neither approach is better for every clinical trial document. AI can improve speed and efficiency for suitable content, while human expertise becomes more important when terminology, context, localization, or the purpose of the translation requires closer judgment.
What is fast certified translation for clinical trials?
Fast certified translation combines an efficient workflow with the expert review and certification the project requires. Where appropriate, Language Scientific can use AI-assisted processes to manage volume and timelines while keeping clinical expertise and quality control in place.
Can AI-generated clinical trial translations be certified?
Yes. Language Scientific can review and certify AI-generated translations, including content produced with a client’s own AI tools. The review is structured around the document and the certification requirements that apply to the project.
Which clinical trial documents may require more human review?
Patient-facing, regulatory, and highly specialized clinical content may require closer human review, particularly when terminology, localization, or contextual distinctions affect meaning. The amount of oversight should reflect how the translated document will ultimately be used.
Can machine translation (MT) help with high-volume clinical trial content?
Yes. Machine translation can help teams process larger volumes of suitable content more efficiently, especially when documents contain recurring language or terminology. Expert review can then be added where the material requires closer clinical or linguistic scrutiny.
How does human review improve AI-assisted clinical translation?
Human reviewers can resolve ambiguity, evaluate specialized terminology, and account for context or local language nuances that automated systems may miss. Clinical subject matter expertise also helps confirm that the translation preserves the underlying scientific meaning.
Is AI appropriate for patient-facing clinical trial materials?
AI can be part of the workflow, but patient-facing materials often warrant careful human review. Clarity, terminology, cultural context, and readability all affect how participants understand the information they receive.
How do language pair and terminology affect the use of AI in clinical translation?
AI performance varies across language pairs and subject areas. Less common language combinations, specialized terminology, or highly specific clinical concepts may require greater involvement from qualified linguists and subject matter experts.
How does Language Scientific choose a clinical translation workflow?
Language Scientific evaluates what is being translated, how it will be used, the languages involved, project scale, timeline, and required quality controls. From there, we can determine where AI adds useful efficiency and where human expertise should take a larger role.
Where Human Review Still Matters in Clinical Translation
AI doesn’t possess the contextual judgment required to make every accuracy decision that can arise when clinical trial content is translated across multiple countries and languages. As discussed earlier, ambiguous medical terminology, local nuances, and underlying meaning can all make human interpretation necessary. As one Forbes Technology Council article notes, “AI is great at interpreting billions of data points, but when it comes to human emotion, we still need humans to understand and explain why a decision was made.”
Brian Cantwell Smith’s famous quote on AI applies here as well. Medical researchers can use AI-enabled translation to “shoulder the reckoning tasks at which they excel, and not for other tasks beyond their capacity.” Human experts can then bring the reasoning, subject matter knowledge, and industry experience needed to review and refine translated materials before they are considered final.
Learn more about Language Scientific’s AI human-assisted translation approach or contact us to discuss your clinical translation needs.
