Summary: RADLogics' AI platform automates the analysis of DICOM data from CT and X-ray scans, providing automatic detection, measurements, and key images. The platform is designed to integrate seamlessly into existing workflows, enhancing radiologists' productivity and patient outcomes. It includes FDA-cleared applications, supporting a rapid and accurate diagnosis process.

Summary: RBfracture™ is designed to assist healthcare professionals by automatically detecting traumas such as fractures, dislocations, lipohemarthrosis, and effusions in radiology images. Utilizing AI technology, it aims to improve the accuracy, specificity, and sensitivity of trauma detection, boasting a median processing time of just 13 seconds per exam. This tool is trained on emergency data from over 1,300 hospitals worldwide, offering a significant reduction in missed fracture rates.

Summary: VUNO Med offers a suite of AI-based medical solutions designed to analyze a wide range of medical data. These solutions cover medical imaging (CT, X-ray, MRI), digital pathology slides, biosignals (ECG, vital signs), and speech for real-time medical document creation. VUNO Med's technology aims to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes by providing advanced analysis and insights.

Summary: BoneXpert is an automated software tool designed for the assessment of bone age from hand X-rays, providing precise and standardized readings. It integrates seamlessly into hospital workflows, offering rapid turnaround times for bone age results, which are crucial for diagnosing growth disorders in children. The software also includes features for adult height prediction and bone health index calculations, supporting clinicians in making informed treatment decisions.

Summary: ClearRead CT leverages deep learning AI technology to provide radiologists with an unobstructed view of the chest, enhancing the detection and measurement of nodules and quantification of coronary artery calcification (CAC). Designed for efficiency and accuracy, it integrates with radiology reports, comparing findings with prior exams and detecting 29% more nodules while reading 36% faster.

Summary: CAD4TB (Computer-Aided Detection for Tuberculosis) is designed to help non-expert users accurately detect tuberculosis using digital chest X-rays. The software utilizes artificial intelligence to analyze chest X-rays for signs of TB, providing a score that indicates the likelihood of TB presence. This tool is aimed at improving TB detection rates, especially in regions with limited access to expert radiologists, thereby facilitating early and effective TB management.

Summary: Oxipit specializes in AI-driven medical imaging solutions that enhance radiology workflows and diagnostic precision. Their portfolio includes ChestLink, an autonomous AI tool for reporting normal chest X-rays, and ChestEye, which assists in detecting 75 lung pathologies. These tools aim to address the global radiologist shortage, improve diagnostic quality, and streamline radiology workflows by automating routine tasks and enhancing diagnostic accuracy.

Summary: Lunit AI Solutions harnesses cutting-edge artificial intelligence to revolutionize cancer care, offering platforms for both detection and treatment. By facilitating early detection of cancers and accurately predicting immunotherapy responses, Lunit AI empowers healthcare providers to deliver timely and effective care. With a strong foundation in research, evidenced by over 200 studies, Lunit AI is at the forefront of integrating AI into oncology to improve patient outcomes.

Summary: Infervision offers a suite of AI-driven products designed to enhance disease screening, diagnosis, intervention, and treatment across various medical fields. Their solutions, including InferRead for detecting abnormalities in CT and X-ray images and InferOperate for 3D surgical planning, leverage cutting-edge technology to support medical professionals in improving patient outcomes and optimizing hospital operations.

Summary: Qure.ai leverages artificial intelligence to enhance healthcare accessibility and affordability. Their solutions include early-stage lung cancer detection on chest X-rays, emergency suite for rapid triage in emergency care, and a platform for radiologists to access AI findings and clinical context within a unified interface.