GE Healthcare’s Critical Care Suite 2.1, now with FDA-cleared Pneumothorax (PTX) detection, offers on-device AI for rapid triage and diagnosis. This innovation enhances bedside X-ray capabilities, aiding clinicians in prompt PTX identification, notification, and precise localization. Clinical studies demonstrate heightened accuracy, reducing reporting times and elevating clinician PTX detection. Driven by collaboration with UCSF’s Center for Digital Health Innovation, this AI-powered system seamlessly integrates into the AMX platform, setting a new standard in mobile X-ray technology.
GE Healthcare’s Critical Care Suite 2.1 introduces groundbreaking FDA-cleared Pneumothorax (PTX) detection, elevating on-device AI capabilities. This advancement redefines bedside X-ray imaging by providing immediate PTX identification and localization, revolutionizing critical care responses. With increasing pressure on healthcare professionals, the need for swift, accurate diagnosis is paramount. The incorporation of this AI-driven technology addresses this urgency, promising enhanced efficiency in triage, reduced reporting times, and improved small PTX detection. Developed in collaboration with UCSF’s Center for Digital Health Innovation, this innovation signifies a pivotal milestone in mobile X-ray evolution.
The latest addition to Critical Care Suite 2.1 introduces an on-device AI algorithm that swiftly identifies and localizes pneumothorax, promptly notifying medical professionals of its presence or absence. This development provides an overlay display on the device itself and within the Picture Archiving and Communication System (PACS), offering crucial assistance in localizing PTX, a significant advancement given the critical nature of this condition.
As the most enduring form of imaging, X-rays remain a cornerstone in frontline patient care, constituting more than 60% of all imaging exams. In the current medical landscape where healthcare practitioners face mounting pressure to handle an escalating caseload, especially in high-stakes scenarios like pneumothorax, time is of the essence. The urgency surrounding cases designated as “STAT” or immediate priority necessitates efficient triaging, posing a continual challenge for accurately identifying these high-priority cases.
GE Healthcare continues to redefine mobile X-ray technology, positioning it as an intuitive and technologically advanced tool indispensable in emergency room settings, bedside imaging for inpatients, and intensive care units. This innovation aims to empower clinicians to respond swiftly while upholding diagnostic precision, addressing the pressing need for timely and accurate medical interventions.
Critical Care Suite 2.1’s latest update equips medical practitioners with immediate on-device detection and triage notifications for pneumothorax. Upon detection, an overlay visually highlights the area of concern both on the device and in PACS, facilitating localization and enhancing the speed and accuracy of diagnosis. By leveraging on-device hosting, the Critical Care Suite ensures critical insights are accessible at the point of care, fostering seamless collaboration across the clinical care team.
Early adopters of this technology emphasize its invaluable bedside utility in providing critical clinical information. Dr. Amit Gupta, Division Chief of Cardiothoracic Imaging at University Hospitals of Cleveland, underscores the significance of involving the entire clinical team, including bedside physicians, nurse practitioners, and radiologists, in utilizing AI tools for informed decision-making during critical moments.
The algorithm demonstrates a high degree of accuracy, effectively localizing 100% of detected large PTXs and 96% of small PTXs while minimizing false alerts with a specificity rate of 94%. Clinical studies further substantiate the benefits of this technology, revealing a 57% reduction in reporting times for clinically actionable PTXs and a notable 17.7% increase in clinician detection of small PTXs.
Jyoti Gupta PhD, President & CEO of Women’s Health and X-ray for GE Healthcare, underscores the pivotal role of artificial intelligence in healthcare, particularly in frontline patient care. Emphasizing the efficiency-enhancing potential of digital solutions across clinical workflows, Gupta highlights the empowerment these innovations offer to radiologists and their teams in making critical decisions swiftly during time-sensitive situations, ultimately aiming for superior clinical outcomes.
The Critical Care Suite, a collaborative effort between GE Healthcare and UCSF’s Center for Digital Health Innovation (CDHI), integrates seamlessly into the company’s AMX platform, marking it as the world’s first mobile X-ray system to incorporate embedded artificial intelligence for triage purposes. Besides providing on-device AI notifications, the system also directly transmits AI-generated outputs to PACS through a secondary capture DICOM image, enabling rapid review by radiologists without necessitating additional IT infrastructure. The robust AI algorithm has undergone training on a comprehensive, diverse dataset comprising over 30,000 images from various countries and institutions, ensuring its reliability and effectiveness.
GE Healthcare’s Critical Care Suite 2.1 marks a transformative leap with its FDA-cleared Pneumothorax (PTX) detection, fortifying on-device AI in mobile X-ray systems. This milestone innovation redefines clinical workflows by delivering rapid PTX identification, notification, and precise localization. Clinical validation showcases heightened accuracy, reducing reporting times and augmenting clinician PTX detection rates. The collaborative effort with UCSF’s Center for Digital Health Innovation underscores this system’s seamless integration into the AMX platform, setting a new benchmark in mobile X-ray technology. This advanced AI-powered suite reaffirms its pivotal role in expediting critical care responses and improving patient outcomes.
