Health Technology, Medical Devices
Business Wire | October 18, 2023
GE HealthCare announced US FDA 510(k) clearance of Allia IGS Pulse - the latest addition to the company’s image guided system (IGS) offerings. Allia IGS Pulse features a new imaging chain engineered to provide exceptional imaging at the right dose for visible impact in complex cardiology interventions regardless of patient size.
In modern healthcare today, cardiovascular disease (CVD) continues to grow in prevalence, with CVDs being the leading cause of death globally. As clinicians work to treat CVDs, cardiology procedures continue to evolve as demand for minimally invasive surgery grows. GE HealthCare is committed to helping interventional cardiologists, vascular surgeons and other interventional specialists use image guidance technologies to their full potential by optimizing workflows and providing exceptional image quality to help clinicians provide quality care to their patients, while also enabling better clinical and operational outcomes.
According to a survey of interventionalists, nearly 50% of interventional procedures are performed at working positions where clinicians have poor access to user interface functions and display.3 Designed to address these challenges, the new Allia IGS Pulse provides a personalized workspace that meets the operator’s specific needs and preferences. As part of its new image chain, the system features the first monopolar x-ray tube used to capture images for interventional procedures. This new tube is powerful, yet quieter than normal conversation4 to optimize the operating environment during a procedure. The small footprint of the new tube also helps clinicians reach steep angulation for better understanding of coronary artery anatomy, even with the 30cm detector configurations. The latest version of MyIQ technology incorporated into the system allows clinicians to select their favorite image look from four different image styles with just one click for a tailored experience at no additional dose.
In the treatment of complex cardiovascular diseases, image quality and optimized dose management regardless of patient size are also important to clinicians. With Allia IGS Pulse, interventionalists are able to get exceptional image quality for large and bariatric patients with a BMI of greater than 30. The system’s reduced pulse width and unmatched X-ray peak power helps to decrease motion blur for better visualization of moving elements such as vessels and devices. To relieve clinicians and technologists of the complex task of optimizing image quality and dose during procedures, Allia IGS Pulse takes AutoRight, the company’s intelligent image chain leveraging AI, a step further with AutoRight PLUS - the next generation of the automation platform. With AutoRight PLUS, the system now optimizes seven parameters in real time, including Focal Spot Shape. By removing the burden of manual adjustment during procedures, clinicians can stay focused on the procedure and treatment of their patients. To further optimize dose along the image chain, a unique suite of tools is also available to help support dose efficiency, dose reduction and dose awareness.
Since January 2023, Allia IGS Pulse has been in pilot operations at Clinique Pasteur - Toulouse in Toulouse, France.
“At Clinique Pasteur in Toulouse, we perform thousands of interventional cardiology procedures each year,” says Dr. Nicolas Dumonteil, Interventional Cardiologist, Clinique Pasteur, Toulouse. “As an operator of the Allia IGS Pulse system, I felt a significant and real improvement in the imaging quality, as well as a significant reduction of this noise in my daily procedures which gave me great confidence and comfort in the operating room. The system is also quite adaptable and versatile to all of my daily situations and procedures – from percutaneous coronary interventions (PCIs) to other complex and structural ones.”
says Dr Raphaël Philippart, Interventional Cardiologist, Clinique Pasteur, Toulouse.
I saw a significant improvement in the image quality, especially with obese patients and complex angioplasties - where a good visibility of my guidewire, balloons and stents are particularly important.
[Source – Business Wire]
“Interventional cardiology procedures require exceptional image quality,” says Arnaud Marie – General Manager of Interventional for GE HealthCare. “I’m excited by the addition of Allia IGS Pulse to our interventional offerings because it addresses the very things clinicians continue to tell us present challenges in their day-to-day practice. By developing new features to further evolve our core platform, we’re helping to reduce complexity and improve the operating environment so that clinicians can have a personalized workspace that better enables them to keep their focus where it belongs – on their patients.”
Health Technology, Digital Healthcare
Business Wire | October 16, 2023
HARMAN, a wholly-owned subsidiary of Samsung Electronics Co., Ltd. focused on connected technologies for automotive, consumer, and enterprise markets, announced that its Digital Transformation Solutions business unit has launched the groundbreaking Healthcare Private Language Model (LLM), known as HealthGPT. HealthGPT represents a leap in healthcare solutions by leveraging generative AI to empower healthcare professionals, researchers, and institutions through advanced patient care, medical research, and decision-making.
HealthGPT brings forward all the benefits of a LLM like natural language interaction and learnability, with a strong knowledge base established from a variety of healthcare data sets. The model, built using the key principles of responsible AI, has additionally been tested for accuracy and hallucinations using HARMAN’s own automated LLM testing framework and the results were further validated by the healthcare subject matter experts.
HARMAN HealthGPT is a private LLM, providing enterprises with more control over roadmap, privacy, compliance and security issues at optimized cost.
Key advantages of working with HARMAN HealthGPT include
Enhanced Clinical Insights: Provides real-time, context-aware clinical insights, aiding in decision making.
End-to-end LLM Fine tuning framework: A comprehensive framework for fine-tuning Language Model (LLM) to achieve optimal performance.
Data generation framework: A framework for creating high quality customized datasets to further fine-tune Language Model (LLM) for enhanced performance.
Automated LLM evaluation framework: Completely automated solution to validate fine-tuned LLMs for quality of outputs, factual correctness, hallucinations, and toxicity.
Cost Optimization: Advanced deployment techniques using quantization to significantly reduce model size and thereby processing costs by up to one-tenth.
Drug Discovery and Research: Accelerate drug discovery and development by extracting valuable insights from clinical trial data.
Nick Parrotta, President – Digital Transformation Solutions & Chief Digital and Information officer at HARMAN said,
The business value of generative AI cannot be overstated. Organizations that scale and implement swiftly will see significant competitive advantages, productivity gains and more – but only if they can unlock their data and move from general purpose applications to more specialized, domain-specific applications. At HARMAN, it is our mission to help our clients navigate this hurdle and create a competitive advantage long-term. HARMAN HealthGPT is an example of our capabilities that will help organizations utilize specific industry trained models to better solve unique problems and add value for customers. With our long-standing AI expertise and ability to develop effective LLMs, we’re equipped to help our clients move past challenging roadblocks and fully capitalize on the exciting promise of generative AI.
[Source – Business Wire]
HARMAN is seeing strong early results of the LLM training, and its AI and ML teams are well positioned with an end-to-end, tested framework to fine-tune more private LLMs, beyond the healthcare industry, to solve similar customer problems.
GE HealthCare | September 08, 2023
Leveraging operational AI and ML has the potential to unite providers and optimize the consolidation of data sets.
During initial testing, the AI-driven algorithm demonstrated the ability to accurately forecast missed care opportunities, with success rates as high as 96%.
AI and machine learning insights strategically improve productivity and administrative efficiency at both departmental and enterprise levels.
In 2017, GE HealthCare and Mass General Brigham embarked on a ten-year partnership focused on AI innovation in diagnostics and treatments.
GE HealthCare and Mass General Brigham have unveiled the joint development of an AI algorithm. This algorithm is designed to enhance operational efficiency and productivity in healthcare.
The maiden AI application stemming from this collaboration is the 'schedule predictions dashboard' integrated into the Radiology Operations Module (ROM), a digital imaging tool readily available for deployment by healthcare institutions.
Its primary objective encompasses the optimization of scheduling procedures, cost reduction, and alleviating administrative burdens placed on healthcare providers. By doing so, ROM liberates valuable time, permitting clinicians to invest more of their efforts into fostering and strengthening the clinician-patient relationship.
Amid a vast sea of data and the demanding responsibilities that often divert healthcare providers from patient care, Parminder Bhatia, Chief AI Officer of GE HealthCare, described the collaboration with Mass General Brigham as groundbreaking. He added that they combine unique datasets and utilize cutting-edge machine learning techniques, harnessing the synergy of clinical and technical expertise to usher in unprecedented advancements in healthcare.
Keith Dreyer, DO, Ph.D., Chief Data Science Officer, Mass General Brigham, remarked,
This technology has the potential to reduce burnout and allow physicians to spend more time with patients, which may ultimately lead to better outcomes.
[Source: Business Wire]
Operational AI-enabled tools can tackle challenges that frequently jeopardize patient care, including the cost of healthcare and inefficiencies within hospitals. When a patient misses an appointment, neglects to schedule a follow-up, or arrives late, collectively called missed care opportunities (MCO), the repercussions can be substantial. The algorithm developed in collaboration is designed to forecast MCO and late arrivals. This initiative aims to enhance operational flexibility, streamline administrative processes, elevate patient satisfaction, and more effectively accommodate urgent, inpatient, or walk-in appointments.
GE HealthCare, a global leader in medical technology, pharmaceutical diagnostics, and digital solutions, focuses on delivering integrated solutions, services, and data analytics to enhance hospital efficiency, support clinicians, improve therapy precision, and promote patient well-being. With over a century of service to patients and healthcare providers, the company advances personalized, connected, and compassionate care through imaging, ultrasound, patient care solutions, and pharmaceutical diagnostics.