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Description

Developed by healthcare professionals for their peers, this technology aims to significantly enhance the quality of life for patients. Our AI-driven platform emphasizes speed, scalability, and security while offering the flexibility and customization that each hospital requires. It serves as a dependable long-term resolution. With RapidAI's stroke portfolio, you can expedite triage and transfer decisions with greater precision. Additionally, it facilitates the swift identification, monitoring, and proactive management of aneurysms. RapidAI's comprehensive suite of products for pulmonary embolism care enables quick detection of suspected PE cases. The AI-enhanced clinical decision support (CDS) software accelerates the decision-making process for physicians; however, it is crucial to recognize that not all AI solutions are equal. Only those CDS tools that possess clinical expertise can accurately identify, locate, characterize, and quantify suspected conditions. This advanced level of precision in AI-powered CDS modules contributes to improved triage and transfer decisions, ultimately leading to enhanced diagnostic accuracy and more efficient vascular care. By integrating these cutting-edge tools, healthcare providers can significantly elevate patient outcomes and operational efficiency.

Description

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.