Inspired Spine Smart Universal Resource Identifier (SURI): An Adaptive AI Framework for Transforming Multilingual Speech Into Structured Medical Reports

Medical documentation is a major part of delivering healthcare worldwide and is gaining more importance in developing countries as well. The global spread of multilingual communities in medical documentation poses unique challenges, particularly regarding maintaining accuracy and consistency across diverse languages. Inspired Spine Smart Universal Resource Identifier (SURI), an adaptive artificial intelligence (AI) framework, addresses these challenges by transforming multilingual speech into structured medical reports. Utilizing state-of-the-art automatic speech recognition (ASR) and natural language processing (NLP) technologies, SURI converts doctor-patient dialogues into detailed clinical documentation. This paper presents SURI's development, focusing on its multilingual capabilities, effective report generation, and continuous improvement through real-time feedback. Our evaluation indicates a 60% reduction in documentation errors and a 70% decrease in time spent on medical reporting compared to traditional methods. SURI not only provides a practical solution to a pressing issue in healthcare but also sets a benchmark for integrating AI into medical communication workflows.

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Publication Details

Journal
Cureus
Published
2025-03-26
DOI
https://doi.org/10.7759/cureus.81243
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
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article

Inspired Spine Smart Universal Resource Identifier (SURI): An Adaptive AI Framework for Transforming Multilingual Speech Into Structured Medical Reports

D. F. Moore, Jiawen Zhan, Yijun Lu, Hamidreza Abbasi
1 citations
Cureus
Topic Modeling
2.48
article

Inspired Spine Smart Universal Resource Identifier (SURI): An Adaptive AI Framework for Transforming Multilingual Speech Into Structured Medical Reports

D. F. Moore, Jiawen Zhan, Yijun Lu, Hamidreza Abbasi
article en
1 citations

Abstract

Medical documentation is a major part of delivering healthcare worldwide and is gaining more importance in developing countries as well. The global spread of multilingual communities in medical documentation poses unique challenges, particularly regarding maintaining accuracy and consistency across diverse languages. Inspired Spine Smart Universal Resource Identifier (SURI), an adaptive artificial intelligence (AI) framework, addresses these challenges by transforming multilingual speech into structured medical reports. Utilizing state-of-the-art automatic speech recognition (ASR) and natural language processing (NLP) technologies, SURI converts doctor-patient dialogues into detailed clinical documentation. This paper presents SURI's development, focusing on its multilingual capabilities, effective report generation, and continuous improvement through real-time feedback. Our evaluation indicates a 60% reduction in documentation errors and a 70% decrease in time spent on medical reporting compared to traditional methods. SURI not only provides a practical solution to a pressing issue in healthcare but also sets a benchmark for integrating AI into medical communication workflows.

CureusVol. 17(3)
Bursa Technical University (TR), Inspired Spine (US)
Openalex Percentile: Top 11%
Topic Modeling
2.48
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Inspired Spine Smart Universal Resource Identifier (SURI): An Adaptive AI Framework for Transforming Multilingual Speech Into Structured Medical Reports — D. F. Moore, Jiawen Zhan, et al. · Cureus (2025) | TGRS Research Map | TGRS