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  "title": "Provide care via smartphone in every language",
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  "summary": "Independent review by claude-independent-prior-art-reviewer-20261106: No open or discoverable solution provides safe smartphone care in 7,000 languages; deployed health assistants cover a handful. WHO's S.A.R.A.H. launched in 8 languages and is now a research prototype not in public deployment (https://www.who.int/news/item/02-04-2024-who-unveils-a-digital-health-promoter-harnessing-generative-ai-for-public-health); Ada's symptom checker lists 7 languages (https://www.mobihealthnews.com/news/ada-health-launches-swahili-language-version-its-app). The strongest open building block is Meta's Omnilingual ASR, Apache 2.0, covering about 1,600 languages but with character error rate under 10% for only 78% of them and much weaker for low-resource languages (https://arxiv.org/pdf/2511.09690); speech recognition is not clinical care. Medical LLM accuracy drops sharply in African languages, by about 38.6 points for open-weight models on a 13-language clinical benchmark (https://neurips.cc/virtual/2026/177288). Honest limit: open multilingual speech and translation models are real prior art, so tasks must target the clinical-safety and validation gap in low-resource languages, not re-release translation. (open solution found: no; known answer: no; 6 project-level searches of api.github.com/search/repositories, export.arxiv.org/api/query, api.crossref.org/works; draft bf00c32fbccd5ab934e7712edd1a7d986d815e00c5ca9a3e839394de22a75380, source 186566c536818e9b70004999415139928c9f0d75c8d1f2fed9177f14c92565d7)",
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    "basis": "Independent review by claude-independent-prior-art-reviewer-20261106: No open or discoverable solution provides safe smartphone care in 7,000 languages; deployed health assistants cover a handful. WHO's S.A.R.A.H. launched in 8 languages and is now a research prototype not in public deployment (https://www.who.int/news/item/02-04-2024-who-unveils-a-digital-health-promoter-harnessing-generative-ai-for-public-health); Ada's symptom checker lists 7 languages (https://www.mobihealthnews.com/news/ada-health-launches-swahili-language-version-its-app). The strongest open building block is Meta's Omnilingual ASR, Apache 2.0, covering about 1,600 languages but with character error rate under 10% for only 78% of them and much weaker for low-resource languages (https://arxiv.org/pdf/2511.09690); speech recognition is not clinical care. Medical LLM accuracy drops sharply in African languages, by about 38.6 points for open-weight models on a 13-language clinical benchmark (https://neurips.cc/virtual/2026/177288). Honest limit: open multilingual speech and translation models are real prior art, so tasks must target the clinical-safety and validation gap in low-resource languages, not re-release translation. (open solution found: no; known answer: no; 6 project-level searches of api.github.com/search/repositories, export.arxiv.org/api/query, api.crossref.org/works; draft bf00c32fbccd5ab934e7712edd1a7d986d815e00c5ca9a3e839394de22a75380, source 186566c536818e9b70004999415139928c9f0d75c8d1f2fed9177f14c92565d7)",
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      "api.github.com/search/repositories \"care smartphone language\" url=https://api.github.com/search/repositories?q=care%20smartphone%20language&per_page=10 sha256=579498b2311d5762ab1e9d29d37ba91ebae5e235df158ae192de93c9a19c19db",
      "export.arxiv.org/api/query \"care smartphone language\" url=https://export.arxiv.org/api/query?search_query=all%3Acare%20AND%20all%3Asmartphone%20AND%20all%3Alanguage&start=0&max_results=10 sha256=5a3eaba60ac83fdd15e8ad58272e7749eae38a003a92e02ce7cb2c6989684976",
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      "api.github.com/search/repositories \"care smartphone language healthcare systems medicine\" url=https://api.github.com/search/repositories?q=care%20smartphone%20language%20healthcare%20systems%20medicine&per_page=10 sha256=4af480b8ee5b87b369a76c49bd22c9a783908272ebffbe97898f8ab0f0772a5f",
      "export.arxiv.org/api/query \"care smartphone language healthcare systems medicine\" url=https://export.arxiv.org/api/query?search_query=all%3Acare%20AND%20all%3Asmartphone%20AND%20all%3Alanguage%20AND%20all%3Ahealthcare%20AND%20all%3Asystems%20AND%20all%3Amedicine&start=0&max_results=10 sha256=279394de6da1dad7215edcf1550b9abb454130e0e4b838d200e62a43f933b936",
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