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OpenEvidence is a medical information platform designed to assist healthcare professionals in navigating the vast and rapidly expanding body of medical research. Originating from the Mayo Clinic Platform Accelerate program, it integrates multimedia and clinical findings from esteemed sources like The New England Journal of Medicine. By aggregating, synthesizing, and presenting clinically relevant evidence in accessible formats, OpenEvidence empowers medical practitioners to make informed, evidence-based decisions, ultimately enhancing patient outcomes.
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PathAI Products and Services. Evolving pathology using machine learning and deep learning techniques to drive faster more accurate diagnosis of disease.
Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey.
Aidoc is a AI software that detects abnomalities on X-ray and scans.
Qure.ai's qXR-HF is an advanced AI-powered solution designed to facilitate the early detection of heart failure risk through the analysis of chest X-rays. By leveraging deep learning algorithms, qXR-HF identifies critical indicators such as cardiomegaly (enlarged heart) and pleural effusion (fluid accumulation), which are commonly associated with heart failure. This technology aims to enhance diagnostic accuracy, reduce the likelihood of late or missed diagnoses, and ultimately improve patient care outcomes.
qTrack is an AI-powered platform designed to enhance tuberculosis (TB) care cascades by streamlining screening programs and case management. Leveraging advanced artificial intelligence, qTrack facilitates rapid and accurate analysis of chest X-rays, significantly reducing the time from initial screening to confirmed diagnosis. This efficiency not only accelerates patient care but also optimizes resource utilization within healthcare systems.
5C Network is an AI-native radiology platform that integrates advanced artificial intelligence with human expertise to deliver rapid and consistent diagnostic imaging services. By managing the entire radiology workflow—from image ingestion and AI-powered detection to structured reporting and quality supervision—5C Network enhances diagnostic accuracy and efficiency. Serving over 1,500 healthcare facilities and processing more than 10,000 scans daily, the platform boasts an average turnaround time of 30 minutes, significantly reducing the industry standard of 24-48 hours. With a team of over 400 expert radiologists and AI trained on over 3 billion medical images, 5C Network ensures high-quality, timely, and accessible radiology services. Key Features and Functionality: - End-to-End Radiology Workflow: Manages the complete diagnostic process, including image ingestion, triage, reporting, quality control, and continuous improvement. - AI-Assisted Diagnosis: Utilizes AI to analyze various imaging modalities such as CT, MRI, X-ray, Mammography, and PET-CT, detecting and measuring 234 different pathologies with a 0.93 F1 score. - Rapid Turnaround: Delivers diagnostic reports with an average turnaround time of 30 minutes, enhancing patient care and operational efficiency. - Human-in-the-Loop Quality Supervision: Employs eight specialized quality control agents to validate every report, ensuring accuracy and consistency. - Continuous Learning: Improves diagnostic accuracy over time through a feedback loop that incorporates real-world corrections into the AI models. Primary Value and Solutions Provided: 5C Network addresses critical challenges in radiology by reducing diagnostic turnaround times, standardizing report quality, and expanding access to specialist-level reads across various imaging modalities. By combining AI-driven analysis with expert radiologist oversight, the platform enhances diagnostic accuracy and efficiency, ultimately improving patient outcomes and supporting healthcare providers in delivering timely and reliable radiology services.
qXR is an advanced AI-powered solution designed to enhance the efficiency and accuracy of chest X-ray interpretation. Trained on over 9 million scans and having processed more than 10.7 million, qXR delivers comprehensive reports in under 20 seconds, significantly reducing turnaround times by 40%. It identifies a wide range of abnormalities across the lungs, pleura, mediastinum, bones, diaphragm, and heart, aiding in the detection of conditions such as tuberculosis and lung cancer. With a 99% negative predictive value in segregating unremarkable chest X-rays, qXR effectively clears reporting backlogs and supports high-volume settings like teleradiology and immigration screenings. Its multilingual support and flexible deployment options, including cloud and on-premise, ensure seamless integration into diverse clinical environments.
Arterys MICA is a medical imaging software for image analytics that can assist with cardio, lung, and liver diagNoses.
qER by Qure.ai is an AI-powered solution designed to enhance the diagnosis and management of stroke and traumatic brain injury (TBI) through rapid and accurate analysis of non-contrast head CT scans. By integrating seamlessly into existing radiology workflows, qER prioritizes critical cases, enabling faster team activation and improved patient outcomes. The system detects and quantifies key abnormalities such as intracranial hemorrhages, cranial fractures, mass effect, and midline shifts, providing clinicians with comprehensive insights to make informed decisions promptly. With regulatory clearances including FDA 510(k) and CE Class IIb certifications, qER is a trusted tool in neuro-critical care settings.