Top Tweets for #MedASR

Rank The Page @rankthepage

8 months ago

#MedGemma 1.5 and #MedASR Release- Google Research released new #AI models for #healthcare.

AIGCLINK

@aigclink

9 months ago

谷歌出的一款医疗领域专用ASR：MedASR，基于海量医疗语音数据训练，对医学术语识别准确率高于通用模型可以用于临床文档，比如医生用语音口述病历、笔记、手术报告等等，提高文档的录入效率转录的文本可以自动添加标点符号；可以根据特定医疗机构或专业领域词汇表进行定制 #医疗ASR #MedASR

aigclink's tweet photo. 谷歌出的一款医疗领域专用ASR：MedASR，基于海量医疗语音数据训练，对医学术语识别准确率高于通用模型

可以用于临床文档，比如医生用语音口述病历、笔记、手术报告等等，提高文档的录入效率

转录的文本可以自动添加标点符号；可以根据特定医疗机构或专业领域词汇表进行定制

#医疗ASR #MedASR

Fereshteh Mahvar @fmahvar

9 months ago

The wait is over! 🍾 https://t.co/HXwPaqf67u now includes a free, open-weight and customizable medical speech-to-text model! 🎉 Use #MedASR on its own or pair it with #MedGemma to automate clinical workflows where spoken language is the most natural human-computer interface. Goes without saying: this is a foundation model - you need to evaluate and adapt it to your use case. Can't wait to see what you'll do with it! 🔗 Landing page: https://t.co/sUz1fuGfIM 🔗 Model card: https://t.co/NYyY5zRmX9 🔗 Hugging Face: https://t.co/4212lQRl4z 🔗 Vertex AI Model Garden: https://t.co/lPWj7XEqX0 🔗 Tutorial notebooks and container source code: https://t.co/wktiJKBi7Z 🔗 Pre-built container image: https://t.co/A7cs84cQ5W Resources and support: 🔗 Seek technical support: https://t.co/QQtYSYHYLU 🔗 File issues: https://t.co/svUPpuajlJ 🔗 Help shape our roadmap: https://t.co/QkaQF8UqL9 🔗 Stay in the know: https://t.co/OcOiNljXBx 🔗 Bookmark your one-stop-shop: https://t.co/HXwPaqf67u It takes a village to bring a model out of our research stack and into the open community! Firstly, huge thanks to our colleagues in the speech team for an amazing collaboration: Ehsan Variani, Shashir Reddy, WU Ke and Tom Bagby and members of HAI-DEF team: Bram Sterling, Tiffany Chen, Can Kirmizi, Fayaz Jamil, David Steiner, and of course Rory Pilgrim! This would not have been possible without our co-conspirators across Google and Hugging Face: Omar Sanseviero, Feiyang (Kathy) Yu, Changdong Wei, Eustache Le Bihan, Pedro Cuenca, Arthur Zucker and many more!

fmahvar's tweet photo. The wait is over! 🍾 https://t.co/HXwPaqf67u now includes a free, open-weight and customizable medical speech-to-text model! 🎉 Use #MedASR on its own or pair it with #MedGemma to automate clinical workflows where spoken language is the most natural human-computer interface.

Goes without saying: this is a foundation model - you need to evaluate and adapt it to your use case. Can't wait to see what you'll do with it!

🔗 Landing page: https://t.co/sUz1fuGfIM
🔗 Model card: https://t.co/NYyY5zRmX9
🔗 Hugging Face: https://t.co/4212lQRl4z
🔗 Vertex AI Model Garden: https://t.co/lPWj7XEqX0
🔗 Tutorial notebooks and container source code: https://t.co/wktiJKBi7Z
🔗 Pre-built container image: https://t.co/A7cs84cQ5W

Resources and support:
🔗 Seek technical support: https://t.co/QQtYSYHYLU
🔗 File issues: https://t.co/svUPpuajlJ
🔗 Help shape our roadmap: https://t.co/QkaQF8UqL9
🔗 Stay in the know: https://t.co/OcOiNljXBx
🔗 Bookmark your one-stop-shop: https://t.co/HXwPaqf67u

It takes a village to bring a model out of our research stack and into the open community! Firstly, huge thanks to our colleagues in the speech team for an amazing collaboration: Ehsan Variani, Shashir Reddy, WU Ke and Tom Bagby and members of HAI-DEF team: Bram Sterling, Tiffany Chen, Can Kirmizi, Fayaz Jamil, David Steiner, and of course Rory Pilgrim!

This would not have been possible without our co-conspirators across Google and Hugging Face: Omar Sanseviero, Feiyang (Kathy) Yu, Changdong Wei, Eustache Le Bihan, Pedro Cuenca, Arthur Zucker and many more!

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