AI has the potential to help save lives by transforming healthcare and medicine through the creation of more personalized, accessible and effective solutions. This is particularly true in more resource challenged communities where there is often a shortage of healthcare workers. In collaboration with healthcare providers, researchers and industry partners, we’ve published research, created open-source tools, and built AI systems that have the potential to positively impact health outcomes for people globally.
AI has the potential to help save lives by transforming healthcare and medicine through the creation of more personalized, accessible and effective solutions. This is particularly true in more resource challenged communities where there is often a shortage of healthcare workers. In collaboration with healthcare providers, researchers and industry partners, we’ve published research, created open-source tools, and built AI systems that have the potential to positively impact health outcomes for people globally.
MedLM is our family of models fine-tuned for the healthcare industry. MedLM is already transforming workflows for healthcare organizations, helping them do things that range from answering medical questions, to summarizing dense medical information, to deriving insights from unstructured data. It is now available to Cloud customers through Vertex AI.
TB DETECTION
Each year, more than 10 million people become ill with TB and more than 1.3 million die from it worldwide. We’ve developed an AI system to interpret chest X-ray scans for early signs of TB. We’ve been working with Apollo Radiology International over the past few years to validate our AI systems in regions where they can have the most impact. Over the next 10 years, Apollo Radiology International will use these models to provide 3 million free AI-powered screenings for TB, lung cancer, and breast cancer — helping hundreds of thousands more people across India access timely care.
Describing that unusual mole or rash on your skin can be challenging. Google Lens can now help you visually search for skin conditions similar to what you're experiencing. Simply snap a photo within the Google App, and Lens will present visually similar matches to help guide your search. Available in select regions, this feature isn't limited to just skin concerns; it can also assist with identifying other bodily anomalies, such as bumps or hair loss.
*This is an image comparison feature that matches to images available publicly on the world wide web. This feature does not constitute a medical analysis of the image. Search results are informational only and not a diagnosis. Consult your medical authority for advice. This feature is not related to the DermAssist tool, which is no longer in development.
Breast cancer is the most common form of cancer globally, and early detection through breast cancer screening can lead to better chances of survival. Working with healthcare partners like Northwestern Medicine, we developed an AI system that integrates into breast cancer screening workflows to help radiologists identify breast cancer earlier and more consistently. Our published research shows that our technology can identify signs of breast cancer as well as trained radiologists. We are now bringing this research to reality by partnering with iCAD to embed this technology in clinical settings.
Breast cancer is the most common form of cancer globally, and early detection through breast cancer screening can lead to better chances of survival. Working with healthcare partners like Northwestern Medicine, we developed an AI system that integrates into breast cancer screening workflows to help radiologists identify breast cancer earlier and more consistently. Our published research shows that our technology can identify signs of breast cancer as well as trained radiologists. We are now bringing this research to reality by partnering with iCAD to embed this technology in clinical settings.
ULTRASOUND
Ultrasound is a versatile and increasingly more accessible early disease detection tool, providing real-time dynamic views of major organ systems. We are developing AI models to make it easier to interpret important health information from ultrasound images. Notably, we are focusing on maternal ultrasound and partnering with Jacaranda Health in Kenya to improve our AI models. Our goal is to expand access to care in areas where access to trained sonographers is limited.
Digital mobile health apps are capable of lowering the barrier to equitable healthcare. However, it’s costly and difficult for developers to build tools that share health information across systems and work well in areas that often lack reliable internet connectivity. Open Health Stack is a suite of open-source building blocks built on an interoperable data standard. This suite of components makes it easier for developers to quickly build apps allowing healthcare workers to access the information and insights they need to make informed decisions.
Digital mobile health apps are capable of lowering the barrier to equitable healthcare. However, it’s costly and difficult for developers to build tools that share health information across systems and work well in areas that often lack reliable internet connectivity. Open Health Stack is a suite of open-source building blocks built on an interoperable data standard. This suite of components makes it easier for developers to quickly build apps allowing healthcare workers to access the information and insights they need to make informed decisions.
Learn more about how IntelliSOFT used Open Health Stack to build Mama’s Hub, a maternal health app in Kenya that empowers patients, community health volunteers, and health systems.