GE HealthCare to present portfolio of precision care at SNMMI
Confident Investing Starts Here:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
a day ago
- Yahoo
GE HealthCare launches new advanced digital X-ray system to enable access and increase efficiency in high throughput settings
Definium™ Pace Select ET, a new floor-mounted digital X-ray system, enables access to affordable, high-quality medical imaging technology while easing workflow burdens in high-volume environments This new X-ray system, designed to act as a personal assistant for technologists, provides automation of in-room workflows and motorization of manual, repetitive tasks to increase throughput and reduce technologist learning curve CHICAGO, July 24, 2025--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC), today announced commercial availability of an advanced floor-mounted digital X-ray system, Definium™ Pace Select ET1, designed to deliver high-image quality and optimize efficiency in highly demanding environments while enhancing access and affordability. X-ray exams often serve as the entry point to diagnostic imaging, accounting for 60% of all imaging studies conducted, resulting in an ever-increasing workload for radiologists and technologists2 3. This increased demand, combined with acute staffing challenges where 80% of healthcare organizations are short-staffed and radiology technologists have the highest vacancies3, high burnout levels and work-related injuries, creates critical barriers to providing timely, effective diagnostic imaging for patients in need of X-ray imaging. GE HealthCare's new Definium Pace Select ET solves for many of these challenges by automating manual, repetitive steps and helping to reduce physical strain. The system leverages AI to ensure accurate patient positioning and consistent image quality across various clinical conditions while streamlining the technologist workflow to maximize the patient experience and throughput. "Burdened with the stress and pressure to keep radiology departments running smoothly and profitably, we aim to empower technologists with a system that consistently makes the first image count," said Sharad Sharma, Global General Manager, X-ray, at GE HealthCare. "With its advanced digital capabilities and automation, Definium Pace Select ET allows technologists of all experience levels to deliver consistent high-quality images to serve the full range of anatomies and patient populations." Easy-to-use features allow technologists to focus on patient care Building on the trusted Definium platform from GE HealthCare, the Definium Pace Select ET system brings advanced automation and workflow features to a flexible, floor-mounted system with elevating table, in-room exam control, and common user interface to assist technologists. "This launch reinforces our commitment to provide accessible, efficient, and high-quality care for patients, while alleviating stress from the technologist's workday by minimizing repetitive tasks and automating steps," said Jyoti Gupta, PhD, President & CEO of Women's Health and X-ray at GE HealthCare. "We remain dedicated to advancing our technology through transformative digital and AI-enabled capabilities that will remove barriers to timely and effective diagnostic imaging for any patient in need of X-ray imaging." The Definium Pace Select ET system brings the same high image quality typically seen in more expensive overhead tube suspension (OTS) systems to the affordability focused floor-mounted market. Designed and developed with extensive customer feedback, the system brings: Advanced automation to reduce workflow steps and physically demanding movements for technologists, potentially minimizing work-related injuries. Image variability reduction through the AI-enabled Helix™ Advanced Image Processing to provide consistent high-quality images. Prevention of errors before they occur through automated positioning, protocol selection, patient size (body habitus), and collimation via the Intelligent Workflow Suite, and a quality check prior to radiation exposure. To learn more about the new X-ray system, visit About GE HealthCare Technologies Inc. GE HealthCare is a trusted partner and leading global healthcare solutions provider, innovating medical technology, pharmaceutical diagnostics, and integrated, cloud-first AI-enabled solutions, services and data analytics. We aim to make hospitals and health systems more efficient, clinicians more effective, therapies more precise, and patients healthier and happier. Serving patients and providers for more than 125 years, GE HealthCare is advancing personalized, connected and compassionate care, while simplifying the patient's journey across care pathways. Together, our Imaging, Advanced Visualization Solutions, Patient Care Solutions and Pharmaceutical Diagnostics businesses help improve patient care from screening and diagnosis to therapy and monitoring. We are a $19.7 billion business with approximately 53,000 colleagues working to create a world where healthcare has no limits. GE HealthCare is proud to be among 2025 Fortune World's Most Admired Companies™. Follow us on LinkedIn, X, Facebook, Instagram, and Insights for the latest news, or visit our website for more information. _______________________________ 1 510(k) cleared. Not CE marked. Cannot be placed on the market or put into service or used with human beings until it has been made to comply with CE marking and/or regulatory approval. Not all features available in all markets. 2 MV 2019 X-ray CR / DR Market Outlook Report) page 9, 37 3 Pearson, Dave. "Radiology techs in especially high demand as 85% of hospitals seek 'allied' health workers", 23 Oct. 22. View source version on Contacts GE HealthCare Media Contact: Katie ScrivanoM +1 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
a day ago
- Business Wire
GE HealthCare launches new advanced digital X-ray system to enable access and increase efficiency in high throughput settings
CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC), today announced commercial availability of an advanced floor-mounted digital X-ray system, Definium™ Pace Select ET1, designed to deliver high-image quality and optimize efficiency in highly demanding environments while enhancing access and affordability. X-ray exams often serve as the entry point to diagnostic imaging, accounting for 60% of all imaging studies conducted, resulting in an ever-increasing workload for radiologists and technologists2 3. This increased demand, combined with acute staffing challenges where 80% of healthcare organizations are short-staffed and radiology technologists have the highest vacancies3, high burnout levels and work-related injuries, creates critical barriers to providing timely, effective diagnostic imaging for patients in need of X-ray imaging. GE HealthCare's new Definium Pace Select ET solves for many of these challenges by automating manual, repetitive steps and helping to reduce physical strain. The system leverages AI to ensure accurate patient positioning and consistent image quality across various clinical conditions while streamlining the technologist workflow to maximize the patient experience and throughput. 'Burdened with the stress and pressure to keep radiology departments running smoothly and profitably, we aim to empower technologists with a system that consistently makes the first image count,' said Sharad Sharma, Global General Manager, X-ray, at GE HealthCare. 'With its advanced digital capabilities and automation, Definium Pace Select ET allows technologists of all experience levels to deliver consistent high-quality images to serve the full range of anatomies and patient populations.' Easy-to-use features allow technologists to focus on patient care Building on the trusted Definium platform from GE HealthCare, the Definium Pace Select ET system brings advanced automation and workflow features to a flexible, floor-mounted system with elevating table, in-room exam control, and common user interface to assist technologists. 'This launch reinforces our commitment to provide accessible, efficient, and high-quality care for patients, while alleviating stress from the technologist's workday by minimizing repetitive tasks and automating steps,' said Jyoti Gupta, PhD, President & CEO of Women's Health and X-ray at GE HealthCare. 'We remain dedicated to advancing our technology through transformative digital and AI-enabled capabilities that will remove barriers to timely and effective diagnostic imaging for any patient in need of X-ray imaging.' The Definium Pace Select ET system brings the same high image quality typically seen in more expensive overhead tube suspension (OTS) systems to the affordability focused floor-mounted market. Designed and developed with extensive customer feedback, the system brings: Advanced automation to reduce workflow steps and physically demanding movements for technologists, potentially minimizing work-related injuries. to reduce workflow steps and physically demanding movements for technologists, potentially minimizing work-related injuries. Image variability reduction through the AI-enabled Helix™ Advanced Image Processing to provide consistent high-quality images. through the AI-enabled Helix™ Advanced Image Processing to provide consistent high-quality images. Prevention of errors before they occur through automated positioning, protocol selection, patient size (body habitus), and collimation via the Intelligent Workflow Suite, and a quality check prior to radiation exposure. To learn more about the new X-ray system, visit About GE HealthCare Technologies Inc. GE HealthCare is a trusted partner and leading global healthcare solutions provider, innovating medical technology, pharmaceutical diagnostics, and integrated, cloud-first AI-enabled solutions, services and data analytics. We aim to make hospitals and health systems more efficient, clinicians more effective, therapies more precise, and patients healthier and happier. Serving patients and providers for more than 125 years, GE HealthCare is advancing personalized, connected and compassionate care, while simplifying the patient's journey across care pathways. Together, our Imaging, Advanced Visualization Solutions, Patient Care Solutions and Pharmaceutical Diagnostics businesses help improve patient care from screening and diagnosis to therapy and monitoring. We are a $19.7 billion business with approximately 53,000 colleagues working to create a world where healthcare has no limits. GE HealthCare is proud to be among 2025 Fortune World's Most Admired Companies™. Follow us on LinkedIn, X, Facebook, Instagram, and Insights for the latest news, or visit our website for more information. _______________________________ 1 510(k) cleared. Not CE marked. Cannot be placed on the market or put into service or used with human beings until it has been made to comply with CE marking and/or regulatory approval. Not all features available in all markets. 2 MV 2019 X-ray CR / DR Market Outlook Report) page 9, 37 3 Pearson, Dave. 'Radiology techs in especially high demand as 85% of hospitals seek 'allied' health workers', 23 Oct. 22. Expand
Forbes
a day ago
- Forbes
The Role Of Quality Engineering In Safeguarding Medical Decisions
Gopinath Kathiresan is a veteran QE leader combining AI, cybersecurity and automation to build smarter, secure software. AI is transforming healthcare, from interpreting scans to powering early warning systems that guide diagnosis and treatment. In fact, according to a 2024 McKinsey survey, around 70% of healthcare organizations are now using or planning to use generative AI. But AI is not without risk. Earlier in my career, I worked at GE Healthcare and Bio-Rad Laboratories, where I saw how small software issues could carry clinical consequences. One misfire in device communication or a delayed result in a diagnostic tool could mean a missed treatment window. That's why, in healthcare, quality doesn't just mean good code. It means protecting patients in real-world, high-stakes moments. Why Healthcare AI Needs A New Kind Of Oversight AI in healthcare is advancing fast. Models now help detect tumors, predict readmissions, flag deteriorating patients and assist with triage decisions. A 2023 study in Lancet Digital Health even found that AI-based diagnostic tools, such as those for skin cancer detection, can sometimes match or outperform specialists, especially novice specialists. But performance in a controlled environment doesn't always translate to the chaos of real-world hospitals. We can't assume an algorithm is 'good enough' just because it clears a data scientist's benchmark. We need to engineer for safety from the start. That means moving beyond static accuracy numbers and thinking deeply about how AI performs under pressure, across patient types and in unpredictable situations. The Limitations Of Traditional QA In Medical AI Earlier in my career as a quality engineer, I worked on regulated diagnostic software and medical device platforms. I contributed to test automation for verification workflows, validated device communication and ensured clinical accuracy standards were met. That hands-on experience shaped how I think about risk, reliability and patient safety in software and the importance of quality engineering (QE) in healthcare. Healthcare organizations have long practiced software testing. But testing AI is a different beast. AI models behave probabilistically. They're trained on datasets that might not reflect the populations they serve. Their outputs evolve as conditions shift. A tool that performs with 95% accuracy in one hospital might drop dramatically in another, due to differences in demographics, calibrations or data quality. In fact, research has shown that rural hospitals or hospitals with fewer resources, for example, may buy AI tools off-the-shelf, meaning the data the AI is trained on looks different than their hospital's population, which can impact performance. This is where QE must step in, not just as a checkpoint, but as a design partner focused on: • Bias detection across patient populations. • Edge-case testing for rare or high-risk conditions. • Explainability validation to ensure clinicians can interpret results. • Monitoring for model drift after deployment. Quality engineers aren't just testing systems; they're safeguarding patients. From Bugs To Bias: What A Modern QE Pipeline Looks Like The FDA has acknowledged this new frontier, and its updates to its software as a medical device (SaMD) guidelines show that the agency is acknowledging both AI's potential and risk. While its guidance isn't finalized, they are focusing on several aspects of how AI can impact medical devices, including ongoing monitoring and performance validation for AI and machine learning tools. But real-world safety demands more than checkboxes. It requires QE practices that validate AI performance not only at launch but also throughout its lifecycle. So what does 'clinical-grade' QE look like in practice? Emerging best practices include: • Scenario-Based Test Automation: QE teams should consider how these tools will work in real-world scenarios. For example, researchers at the SIMNOVA Simulation Center developed an AI workflow to create and test realistic healthcare simulation scenarios. • Synthetic Data Injection: Synthetic data can help to round out data samples during testing. For example, Stanford's RoentGen project improved classifier accuracy using synthetic chest X-rays. • Demographic Audit Layers: Mainly because of the data it's trained on, AI can perform differently based on factors like a patient's ethnicity or gender, emphasizing the importance of fairness audits • Collaborative Validation: Subject matter experts, such as clinicians and other healthcare stakeholders, should be included in the AI design process to ensure that issues that impact the real-world use of these tools are considered. This shift isn't just a technical evolution; it's foundational to trust in healthcare AI. AI Won't Replace Testers—It'll Make Their Role Even More Critical There's a common fear that AI might make testers obsolete. In healthcare, the opposite is true. AI may help automate test generation and monitor systems post-deployment, but human quality engineers bring what AI can't: context, curiosity and caution. Humans should ask: • 'Would this still work in an emergency room?' • 'Is the model unintentionally learning the wrong patterns?' • 'Could this mislead a busy nurse under pressure?' That kind of judgment is forged from hands-on experience. No AI system, no matter how advanced, can replace the human instinct to ask, 'What could go wrong here?' If you're in healthcare tech, this is a call to action: • Testers: Learn AI model behavior and where quality gaps emerge. • Developers: Collaborate with QE teams early during integration. • Leaders: Treat quality as foundational, not a bolt-on. What matters most isn't what AI can do in theory, but how it behaves when seconds count, when a nurse or physician is making a call that could save a life. The Role Quality Must Play In Saving Lives Software doesn't just support healthcare anymore; it is healthcare. And as AI becomes more central to decisions, QE must evolve from assurance to active defense. I've spent over 15 years working in software quality, including time in regulated healthcare. I've seen how fragile trust becomes when tools fail, and how powerful it is when teams get it right. Now more than ever, we need QE professionals to be the silent guardians of patient safety, testing not just for bugs, but for bias, breakdowns and blind spots. Because when AI enters the hospital, the question isn't just 'Does it work?' It's about whether it will protect the patient when it truly counts. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
