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Clinical Support Software In Usa New York
5 software items found
by:Prognos Health based inNew York, NEW YORK (USA)
From months to minutes - design a clinically specific cohort at the push of a button using patient level real world data. A cohort is the foundation of launch excellence. Choosing the right patient population has never been easier. Prognos understands that the selection of patients depends on complex variables, each interacting with one another - impacting the size, accuracy and quality of the ...
by:Koios Medical, Inc. based inChicago, ILLINOIS (USA)
Cancer diagnosis with ultrasound requires great vision. Koios uses artificial intelligence and machine learning to provide clinical decision support (“DS”) for physicians and technologists when using ultrasound to detect and diagnose cancer. The result: Smart Ultrasound™ Research continues to prove that physician performance and patient outcomes ...
by:Harris Healthcare based inNiagara Falls, NEW YORK (USA)
There is also the ever-rising costs / financial challenges and increased governmental reporting and analytics to drive decision-making and improving treatments. Therefore, today’s health systems require integrated EHR solutions that provide robust clinical decision support to physician, nurses and allied health professionals in their decision making, are ...
by:Powerful Medical Inc. based inNew York, NEW YORK (USA)
The platform uses sophisticated algorithms and explainability heatmaps to help clinicians visualize which ECG features influenced the diagnosis. Supported by clinical validation in over 15 independent studies, PMcardio is trusted by over 100,000 healthcare professionals globally. It enhances decision-making at first patient contact, improving patient outcomes by ...
by:Paige AI, Inc. based inNew York City, NEW YORK (USA)
Paige is pioneering novel predictive and prognostic tissue-based biomarkers from tissue. By combining leading technology with groundbreaking AI, Paige derives novel insights from images of routine hematoxylin and eosin (H&E) stained tissue to identify morphologic features and biomarkers with clinical utility. Using proprietary computational pathology with exclusive clinical data ...
