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Sciences & Healthcare
Medical Imaging, making it possible to train Ovulation Detection model across data silos
Business Challenges:
Detect working women’s infertility signals as early as possible without sharing data across hospitals.
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Solution Offered:
STADLE combines AI models for ovulation detection across data silos among the hospitals without transmitting any private data.
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Outcomes:
STADLE allows for privacy-preserving cross-silo intelligence sharing and training.
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Help hospitals and medical doctors improve diagnosis methods (ML powered) for various health conditions.
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85.2% to 96.7% improvement in accuracy made it possible for hospitals to deliver the AI product (ovulation detection using AI)
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