In a deal aimed at incorporating artificial intelligence (AI)-based image guidance capability into its ultrasound product line, GE HealthCare has signed an agreement to acquire AI software developer Caption Health.
Caption Health has developed AI software designed to enable a wide range of healthcare professionals to acquire basic echocardiography exams at alternate care locations, including at home. For GE HealthCare, the acquisition would fit its strategy of pursuing precision healthcare, as well as broadening access to point-of-care ultrasound technology for new types of users and supporting more clinical applications, according to the vendor.
Once the deal is finalized, Caption Health will be integrated into the broader digital ecosystem of GE HealthCare, according to Karley Yoder, chief digital officer for ultrasound.
"Caption Health will first be integrated in the Point of Care and Handheld business portfolio to advance ultrasound adoption, with expanded future use cases as well," she said in a statement.
Caption Health will also continue to provide its Caption Care management and administrative services to affiliated medical service providers. Under this program, trained technicians equipped with the firm's AI technology can perform echocardiograms at alternate sites of care, according to the vendor. The goal is to support early detection and diagnosis before diseases such as heart failure become more difficult to treat, GE HealthCare said.
Development will also continue on Caption Health's AI software pipeline, including technology supporting the use of ultrasound in pulmonary applications, GE HealthCare said.
Financial terms of the deal were not disclosed. The transaction is subject to customary closing conditions.
![Examples of ultrasound findings and techniques. (A) Images in a 39-year-old male patient with a mass in the left thigh. The mass is heterogeneous on the B-mode US image (compared with the patient in D) and showed increased microvascularity (superb microvascular imaging [SMI]) and shear-wave elastography (SWE) values. Undifferentiated pleomorphic sarcoma was diagnosed at biopsy (with pleomorphic rhabdomyosarcoma in surgical specimen). (B) Images in an 18-year-old male patient with a mass in the left leg. The mass is hypoechoic on the B-mode image, with no other findings suggestive of malignancy. The lesion is in contact with the cortex of the tibia, which is slightly irregular. CT revealed a doubtful anteromedial tibial erosion. The microvascular study demonstrated high vascularization, suggestive of malignancy. Periosteal Ewing sarcoma was diagnosed with both histologic and immunohistochemical confirmation. (C) Images in a 69-year-old female patient with a lump growing on the outside of the left leg. Multiple SWE examinations were performed (please note the high values obtained in the measurements, whereas the color map highlights the stiffness relative to adjacent tissues). SMI showed areas of increased vascularization to target for sampling. Undifferentiated spindle cell sarcoma was diagnosed at biopsy, with residual leiomyosarcoma in the surgical specimen after neoadjuvant therapy. (D) Images in a 56-year-old female patient with a mass in the right thigh. The mass is heterogeneous at both B-mode ultrasound (similar to patient A) and MRI (coronal T2-weighted spectral attenuated inversion recovery [SPAIR]; T1-weighted pre-contrast and postcontrast imaging), which even shows uptake after the administration of paramagnetic contrast material, which is traditionally suggestive of malignancy. Low values at SMI and elastography are suggestive of benignity. Spindle cell lipoma was diagnosed at biopsy, with atypical spindle cell lipomatous tumor in the surgical specimen.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/08/images-radiol250278fig2.APCFLSvX6p.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
