Latest news with #MedGemma
Geeky Gadgets
11-06-2025
- Health
- Geeky Gadgets
How MedGemma Open Source AI is Making Cutting-Edge Healthcare Accessible to All
What if the future of healthcare didn't depend on expensive, proprietary systems but instead thrived on a foundation of openness and collaboration? Imagine a world where innovative medical tools are accessible to rural clinics as easily as they are to urban hospitals, where AI-driven diagnostics and treatment planning are no longer luxuries but standard practice. This is the bold promise of MedGemma, an open source model that's rewriting the rules of medical innovation. By combining the power of artificial intelligence with the adaptability of open source technology, MedGemma is not just a tool—it's a movement toward a more equitable and efficient healthcare system. In this exploration of MedGemma, Sam Witteveen uncovers how this innovative platform is providing widespread access to healthcare by breaking down barriers of cost, geography, and expertise. From its ability to enhance critical medical decision-making to its role in streamlining hospital operations and advancing clinical research, MedGemma's versatility is reshaping the way we think about healthcare delivery. But what makes this model truly fantastic is its collaborative nature, inviting contributions from a global network of experts to ensure it evolves alongside medical science. As we delve deeper, you'll discover how MedGemma is not just addressing today's challenges but also laying the groundwork for a future where healthcare innovation knows no bounds. MedGemma: Open Source Healthcare AI The Importance of Open source in Healthcare Open source technology forms the foundation of MedGemma, offering unparalleled transparency, collaboration, and adaptability. Unlike proprietary systems, open source models empower developers and healthcare professionals to tailor tools to meet specific needs. This flexibility is particularly critical in healthcare, where diverse challenges often require customized solutions. MedGemma's open framework invites contributions from a global network of experts, making sure the model evolves in tandem with advancements in medical science. By using open source principles, MedGemma promotes a culture of shared knowledge and innovation. This collaborative approach not only accelerates technological progress but also ensures that the tools remain relevant and effective in addressing emerging healthcare challenges. The adaptability of open source systems like MedGemma makes them indispensable in a field where precision and reliability are paramount. AI Integration: Enhancing Medical Decision-Making MedGemma integrates artificial intelligence (AI) to transform medical decision-making processes. By analyzing vast datasets, it supports critical tasks such as diagnostics, treatment planning, and patient monitoring. For example, MedGemma can process medical images to identify abnormalities, predict disease progression based on patient history, or even recommend personalized treatment options. These AI-driven capabilities not only enhance the accuracy of medical decisions but also reduce the likelihood of human error in high-stakes situations. The use of AI in MedGemma extends beyond diagnostics. It enables healthcare providers to identify trends in patient data, optimize resource allocation, and improve overall operational efficiency. By combining AI with an open source framework, MedGemma ensures that these advanced tools remain accessible and adaptable, empowering medical professionals to deliver better care. MedGemma : An Open Doctor Model? Watch this video on YouTube. Find more information on open source AI models by browsing our extensive range of articles, guides and tutorials. Applications Across Healthcare Domains MedGemma's versatility makes it a valuable asset across various sectors of healthcare. Its applications include: Hospital Operations: Automating administrative tasks such as patient record management, appointment scheduling, and resource allocation to improve efficiency. Automating administrative tasks such as patient record management, appointment scheduling, and resource allocation to improve efficiency. Clinical Research: Accelerating the analysis of clinical trial data, allowing researchers to identify patterns, validate hypotheses, and develop innovative treatments more quickly. Accelerating the analysis of clinical trial data, allowing researchers to identify patterns, validate hypotheses, and develop innovative treatments more quickly. Telemedicine: Facilitating remote consultations and improving access to healthcare for underserved populations, particularly in rural or resource-limited areas. Facilitating remote consultations and improving access to healthcare for underserved populations, particularly in rural or resource-limited areas. Diagnostics: Assisting in the early detection of diseases through advanced image analysis and predictive modeling. This adaptability ensures that MedGemma can address the unique needs of diverse healthcare environments, from large urban hospitals to small rural clinics. Its ability to integrate seamlessly into existing systems further enhances its utility, making it a practical choice for healthcare providers worldwide. Accessibility: Breaking Down Barriers MedGemma's commitment to accessibility is a defining feature. As an open source platform, it eliminates the financial barriers often associated with proprietary medical tools, making advanced technology available to healthcare providers regardless of their budget. This is particularly impactful in low-resource settings, where access to innovative tools can significantly improve patient outcomes. Additionally, MedGemma's user-friendly design ensures that it can be implemented with minimal technical expertise. This ease of use is crucial in environments where specialized training may not be readily available. By prioritizing accessibility, MedGemma not only reduces global healthcare disparities but also enables providers to deliver high-quality care in even the most challenging circumstances. Reliability in Critical Healthcare Scenarios In the healthcare sector, reliability is non-negotiable. MedGemma is designed to meet the highest standards of performance, making sure consistent results across a variety of medical scenarios. Rigorous testing and validation processes underpin its development, guaranteeing that it functions reliably even in high-pressure environments. The open source nature of MedGemma further enhances its reliability. Peer reviews and contributions from a global community of developers and medical experts ensure that the platform remains robust and up-to-date. This collaborative approach fosters trust in its capabilities, allowing healthcare professionals to focus on patient care with confidence in the tools they are using. Driving Innovation and Collaboration MedGemma exemplifies the fantastic potential of open source innovation in healthcare. By combining AI with a collaborative development model, it addresses critical challenges such as accessibility, adaptability, and reliability. Its applications span diagnostics, research, patient care, and operational efficiency, making it an indispensable resource for medical professionals and researchers alike. As the healthcare industry continues to embrace technology, models like MedGemma will play a pivotal role in shaping a more equitable and efficient future. By fostering a culture of collaboration and shared knowledge, MedGemma not only enhances existing healthcare systems but also lays the groundwork for future innovations that prioritize patient well-being and global health equity. Media Credit: Sam Witteveen Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Techday NZ
22-05-2025
- Business
- Techday NZ
Google announces major Gemini AI upgrades & new dev tools
Google has unveiled a range of updates to its developer products, aimed at improving the process of building artificial intelligence applications. Mat Velloso, Vice President, AI / ML Developer at Google, stated, "We believe developers are the architects of the future. That's why Google I/O is our most anticipated event of the year, and a perfect moment to bring developers together and share our efforts for all the amazing builders out there. In that spirit, we updated Gemini 2.5 Pro Preview with even better coding capabilities a few weeks ago. Today, we're unveiling a new wave of announcements across our developer products, designed to make building transformative AI applications even better." The company introduced an enhanced version of its Gemini 2.5 Flash Preview, described as delivering improved performance on coding and complex reasoning tasks while optimising for speed and efficiency. This model now includes "thought summaries" to increase transparency in its decision-making process, and its forthcoming "thinking budgets" feature is intended to help developers manage costs and exercise more control over model outputs. Both Gemini 2.5 Flash versions and 2.5 Pro are available in preview within Google AI Studio and Vertex AI, with general availability for Flash expected in early June, followed by Pro. Among the new models announced is Gemma 3n, designed to function efficiently on personal devices such as phones, laptops, and tablets. Gemma 3n can process audio, text, image, and video inputs and is available for preview on Google AI Studio and Google AI Edge. Also introduced is Gemini Diffusion, a text model that reportedly generates outputs at five times the speed of Google's previous fastest model while maintaining coding performance. Access to Gemini Diffusion is currently by waitlist. The Lyria RealTime model was also detailed. This experimental interactive music generation tool allows users to create, control, and perform music in real time. Lyria RealTime can be accessed via the Gemini API and trialled through a starter application in Google AI Studio. Several additional variants of the Gemma model family were announced, targeting specific use cases. MedGemma is described as the company's most capable multimodal medical model to date, intended to support developers creating healthcare applications such as medical image analysis. MedGemma is available now via the Health AI Developer Foundations programme. Another upcoming model, SignGemma, is designed to translate sign languages into spoken language text, currently optimised for American Sign Language to English. Google is soliciting feedback from the community to guide further development of SignGemma. Google outlined new features intended to facilitate the development of AI applications. A new, more agentic version of Colab will enable users to instruct the tool in plain language, with Colab subsequently taking actions such as fixing errors and transforming code automatically. Meanwhile, Gemini Code Assist, Google's free AI-coding assistant, and its associated code review agent for GitHub, are now generally available to all developers. These tools are now powered by Gemini 2.5 and will soon offer a two million token context window for standard and enterprise users on Vertex AI. Firebase Studio was presented as a new cloud-based workspace supporting rapid development of AI applications. Notably, Firebase Studio now integrates with Figma via a plugin, supporting the transition from design to app. It can also automatically detect and provision necessary back-end resources. Jules, another tool now generally available, is an asynchronous coding agent that can manage bug backlogs, handle multiple tasks, and develop new features, working directly with GitHub repositories and creating pull requests for project integration. A new offering called Stitch was also announced, designed to generate frontend code and user interface designs from natural language descriptions or image prompts, supporting iterative and conversational design adjustments with easy export to web or design platforms. For those developing with the Gemini API, updates to Google AI Studio were showcased, including native integration with Gemini 2.5 Pro and optimised use with the GenAI SDK for instant generation of web applications from input prompts spanning text, images, or videos. Developers will find new models for generative media alongside enhanced code editor support for prototyping. Additional technical features include proactive video and audio capabilities, affective dialogue responses, and advanced text-to-speech functions that enable control over voice style, accent, and pacing. The model updates also introduce asynchronous function calling to enable non-blocking operations and a Computer Use API that will allow applications to browse the web or utilise other software tools under user direction, initially available to trusted testers. The company is also rolling out URL context, an experimental tool for retrieving and analysing contextual information from web pages, and announcing support for the Model Context Protocol in the Gemini API and SDK, aiming to facilitate the use of a broader range of open-source developer tools.
Yahoo
20-05-2025
- Business
- Yahoo
The latest Google Gemma AI model can run on phones
Google's family of "open" AI models, Gemma, is growing. During Google I/O 2025 on Tuesday, Google took the wraps off Gemma 3n, a model designed to run "smoothly" on phones, laptops, and tablets. Available in preview starting Tuesday, Gemma 3n can handle audio, text, images, and videos, according to Google. Models efficient enough to run offline and without the need for computing in the cloud have gained steam in the AI community in recent years. Not only are they cheaper to use than large models, but they preserve privacy by eliminating the need to transfer data to a remote data center. During a keynote at I/O, Gemma Product Manager Gus Martins said that Gemma 3n can run on devices with less than 2GB of RAM. "Gemma 3n shares the same architecture as Gemini Nano, and is and is engineered for incredible performance," he added. In addition to Gemma 3n, Google is releasing MedGemma through its Health AI Developer Foundations program. According to the company, MedGemma is its most capable open model for analyzing health-related text and images. "MedGemma [is] our [...] collection of open models for multimodal [health] text and image understanding," Martins said. "MedGemma works great across a range of image and text applications, so that developers [...] can adapt the models for their own health apps." Also on the horizon is SignGemma, an open model to translate sign language into spoken-language text. Google says that SignGemma will enable developers to create new apps and integrations for deaf and hard-of-hearing users. "SignGemma is a new family of models trained to translate sign language to spoken-language text, but it's best at American Sign Language and English," Martins said. "It's the most capable sign language understanding model ever, and we can't wait for you — developers and deaf and hard-of-hearing communities — to take this foundation and build with it." Worth noting is that Gemma has been criticized for its custom, non-standard licensing terms, which some developers say have made using the models commercially a risky proposition. That hasn't dissuaded developers from downloading Gemma models tens of millions of times collectively, however. Updated 2:40 p.m. Pacific: Added several quotes from Gemma Product Manager Gus Martins. This article originally appeared on TechCrunch at
TechCrunch
20-05-2025
- Business
- TechCrunch
The latest Google Gemma AI model can run on phones
Google's family of 'open' AI models, Gemma, is growing. During Google I/O 2025 on Tuesday, Google took the wraps off Gemma 3n, a model designed to run 'smoothly' on phones, laptops, and tablets. Available in preview starting Tuesday, Gemma 3n can handle audio, text, images, and videos, according to Google. Models efficient enough to run offline and without the need for computing in the cloud have gained steam in the AI community in recent years. Not only are they cheaper to use than large models, but they preserve privacy by eliminating the need to transfer data to a remote data center. In addition to Gemma 3n, Google is releasing MedGemma through its Health AI Developer Foundations program. According to the company, MedGemma is its most capable open model for analyzing health-related text and images. Also on the horizon is SignGemma, an open model to translate sign language into spoken-language text. Google says that SignGemma will enable developers to create new apps and integrations for deaf and hard-of-hearing users. Worth noting is that Gemma has been criticized for its custom, non-standard licensing terms, which some developers say have made using the models commercially a risky proposition. That hasn't dissuaded developers from downloading Gemma models tens of millions of times collectively, however.
