Artificial intelligence can overcome challenges in brachytherapy treatment planning

Jia, Xun; Cunha, J. Adam M.; Rong, Yi

doi:10.1002/acm2.13504

Cited by 2 publications

(2 citation statements)

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“…This adaptability is crucial considering the acoustic complexities inherent in different medical fields. The success of AI-driven speech recognition systems in both general healthcare communication and specialized areas like radiation oncology ( [28,29]) underscores their potential to revolutionize medical data processing across a spectrum of clinical contexts [30].…”

Section: Discussionmentioning

confidence: 99%

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Revolutionizing Radiological Analysis: The Future of French Language Automatic Speech Recognition in Healthcare

Jelassi,

Jemai,

Demongeot

2024

Diagnostics

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This study introduces a specialized Automatic Speech Recognition (ASR) system, leveraging the Whisper Large-v2 model, specifically adapted for radiological applications in the French language. The methodology focused on adapting the model to accurately transcribe medical terminology and diverse accents within the French language context, achieving a notable Word Error Rate (WER) of 17.121%. This research involved extensive data collection and preprocessing, utilizing a wide range of French medical audio content. The results demonstrate the system’s effectiveness in transcribing complex radiological data, underscoring its potential to enhance medical documentation efficiency in French-speaking clinical settings. The discussion extends to the broader implications of this technology in healthcare, including its potential integration with electronic health records (EHRs) and its utility in medical education. This study also explores future research directions, such as tailoring ASR systems to specific medical specialties and languages. Overall, this research contributes significantly to the field of medical ASR systems, presenting a robust tool for radiological transcription in the French language and paving the way for advanced technology-enhanced healthcare solutions.

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Section: Discussionmentioning

confidence: 99%

“…Addressing these challenges, particularly in non-English languages, remains a key area for future development. Studies on language-specific medical ASR solutions, such as those in Korean and French, highlight both the challenges and opportunities in creating effective multilingual medical ASR system [28][29][30].…”

Section: Discussionmentioning

confidence: 99%