Interpretable AI LLC
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- 平台: iOS 應用程式 (8)
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- PushPrescriber
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 2 (5.0) 版本: 1.0.2 The tool provides a highly accurate and personalized likelihood of spontaneous vaginal birth versus C-Section and mother/child morbidity likelihood against each decision. The tool is ... ⥯
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- OncoMortality
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 1 (5.0) 版本: 1.0.2 This clinical decision support tool helps medical providers predict risk of 60-, 90-, and 180-day mortality among cancer patients, including breast, lung, ovarian, kidney, and other ... ⥯
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- OPOM
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 0 版本: 1.0.2 The successful clinical application of liver transplantation has generated a discrepancy between supply and demand, thereby generating a persistent insufficient organ supply that ... ⥯
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- PredictVUR
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 0 版本: 1.0.1 When a urinary tract infection is presented in a pediatric patient, pediatricians and urologists will seek to identify if the patient is at risk of follow-up urinary tract infection ... ⥯
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- Pediatric Surgical Risk
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 0 版本: 1.0 This tool uses advanced machine learning techniques combined with clinical expertise to predict mortality and morbidity outcomes for all classes of pediatric surgeries. The model was ... ⥯
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- POTTER Elective
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 0 版本: 1.0 POTTER risk estimates are aggregated from high fidelity national data, analyzed using advanced Artificial Intelligence methodologies and thus adapted to the risk factors of the ... ⥯
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- ciTBI Calc
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 0 版本: 1.0 When children suffer traumatic injury to the head, both clinician and parents have an inclination to test for clinically important traumatic brain injury (ciTBI). A provider has the ... ⥯
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- POTTER
- iOS 應用程式: 醫療 由: Interpretable AI LLC
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- 點數: 0 + 5 (4.4) 版本: 1.1 POTTER is a highly accurate and user-friendly emergency surgery risk calculator developed by George Velmahos (MD, PhD), Haytham Kaafarani (MD, MPH), Dimitris Bertsimas (PhD), and Jack ... ⥯
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