Agenci AI · karta decyzji
Google MedASR
Google MedASR is an open-source model for high-accuracy medical dictation, trained on 5,000 hours of de-identified medical audio data, supporting radiology and internal medicine domains.
Dostęp
Do weryfikacji
Cena od
0
Trial
unknown
Sprawdzone
9.08.2026
W skrócie
Czy to narzędzie pasuje do Twojego zadania?
unknown
Zastosowania
- Transcribing physician-patient conversations
- Automating medical report generation
- Supporting radiology documentation
- Internal medicine clinical documentation
Najważniejsze funkcjonalności
- Automatic Speech Recognition (ASR)
- Medical dictation transcription
- Support for radiology and internal medicine domains
- English-only language support
- Pre-trained on 5,000 hours of de-identified medical audio data
- Model size: 105 million parameters
- Supports inference via Hugging Face Transformers
- Available as Safetensors format
- Endpoints compatible for deployment
Darmowy plan i trial
Darmowy dostęp: unknown
Trial: unknown
Cennik: unknown
Plany i limity
| Plan | Cena | Dostęp | Limit / zawartość | Trial / karta |
|---|---|---|---|---|
| Open Source | 0 unknown | open-source | unknown | unknown · karta: unknown |
| Open Source | 0 unknown | open-source | unknown | unknown · karta: unknown |
Dane i bezpieczeństwo
- Prywatność
- unknown
- Trening na danych
- unknown
- Region danych
- unknown
- RODO / GDPR
- unknown
- Bezpieczeństwo
- unknown
Mocne strony
- + Open-source model available on Hugging Face
- + High accuracy for medical dictation
- + Trained on large-scale medical audio data
- + Supports deployment via inference endpoints
- + Well-documented model card with technical specifications
Na co uważać
- Training data may not include all medications, procedures, or non-standard medical terms
- Performance may vary with speaker diversity and audio quality
- Limited to English language
- No official inference endpoints provided by Hugging Face