Butterfly Network’s AI Ultrasound Tool Boosts Early Antenatal Care and Patient Satisfaction in Sub-Saharan Africa, Preliminary Study Finds

Reuters
2025/10/06
Butterfly Network's AI Ultrasound Tool Boosts Early Antenatal Care and Patient Satisfaction in Sub-Saharan Africa, Preliminary Study Finds

Butterfly Network Inc. has announced preliminary scientific research results highlighting the positive impact of its handheld, AI-powered ultrasound technology on maternal health in Sub-Saharan Africa. According to recent analysis from Kenyatta University, following the introduction of Butterfly's point-of-care ultrasound devices in Kenya, the number of women seeking antenatal care before 24 weeks of pregnancy significantly increased, and over 90% of patients reported satisfaction with their care. The company's new AI-enabled Gestational Age tool, which allows lower-skilled healthcare workers in Malawi and Uganda to quickly and accurately calculate gestational age without specialized training, is already in clinical use. These results have been shared in a company press release, but there is no indication they have yet been presented at a scientific conference.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Butterfly Network Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 20251006886211) on October 06, 2025, and is solely responsible for the information contained therein.

應版權方要求,你需要登入查看該內容

免責聲明:投資有風險,本文並非投資建議,以上內容不應被視為任何金融產品的購買或出售要約、建議或邀請,作者或其他用戶的任何相關討論、評論或帖子也不應被視為此類內容。本文僅供一般參考,不考慮您的個人投資目標、財務狀況或需求。TTM對信息的準確性和完整性不承擔任何責任或保證,投資者應自行研究並在投資前尋求專業建議。

熱議股票

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10