KONINKLIJKE PHILIPS N.V. - PHG STOCK NEWS

Philips and Mayo Clinic announced a research collaboration to advance cardiac MRI technology through AI integration. The partnership aims to reduce complex MRI exam times and improve workflow efficiency by combining proprietary AI technologies from both organizations. The research will evaluate lower-field-strength MRI solutions to expand access for patients with metallic implants and explore ways to make cardiac MRI more accessible. With ischemic heart disease being the leading cause of global mortality and costing $252.2 billion in the U.S. (2021), this initiative targets improved patient care and broader MRI accessibility.

Philips has unveiled enhanced AI capabilities for its CT 5300 system at RSNA 2024, featuring the CT Smart Workflow with AI-enabled 'Precise' software solutions. The system combines the NanoPanel Precise detector with ultra-low noise reconstruction technology, offering up to 50% improved positioning accuracy, 70% better user consistency, and 23% reduced positioning time. The technology enables 80% lower radiation dose, 85% lower noise, and 60% improved low-contrast detectability.

Additionally, Philips announced a collaboration with Annalise.ai to evaluate Critical Care AI integration for emergency department triage, which has shown to improve report turnaround times by up to 39%.

Philips unveiled new AI-powered diagnostic and treatment imaging innovations at RSNA 2024, focusing on addressing radiologist challenges amid increasing patient volumes and staff shortages. The company introduced the industry's first wide-bore, high-performance helium-free MR scanner with cloud-based AI capabilities, and the AI-enabled CT 5300 featuring Precise Image reconstruction software. The Spectral CT 7500 has demonstrated up to 97% diagnostic sensitivity compared to 55% with conventional CT. Philips also expanded its collaboration with AWS to offer integrated diagnostics portfolio in the cloud, including radiology, digital pathology, and cardiology solutions.

Philips has expanded its strategic collaboration with Amazon Web Services (AWS) to offer cloud-based integrated diagnostics solutions. The partnership aims to unify diagnostic workflows across radiology, digital pathology, cardiology, and AI advanced visualization. Over 150 sites in North and Latin America have already transitioned to Philips HealthSuite Imaging on AWS, with plans to expand to Europe.

The collaboration leverages AWS's cloud capabilities and generative AI to enhance clinical workflows, offering remote access to diagnostic tools and unified patient data views. Philips is developing AI applications using Amazon Bedrock's foundation models, focusing on features like conversational reporting to improve efficiency and reduce administrative burdens.

Philips and icometrix have partnered to deploy an AI-driven solution for MRI brain scan analysis, focusing on Alzheimer's and multiple sclerosis diagnosis. The solution integrates icometrix's FDA-cleared quantitative brain software into Philips' BlueSeal MR scanners and healthcare informatics platform. The collaboration addresses the growing demand for neurological imaging, particularly with new Alzheimer's treatments requiring multiple MRI scans. The integrated system features icobrain ARIA software for monitoring treatment side effects and icobrain ms for MS diagnosis, offering automated quantitative measurements and improved diagnostic accuracy.

Philips has received FDA 510(k) clearance for new remote scanning and protocol management features on its Radiology Operations Command Center (ROCC). This vendor-agnostic solution enables expert radiologists to remotely assist technologists by controlling scans and adjusting protocols in real-time.

The multi-vendor platform, already widely used in North America and Europe, works with any MR or CT configuration. A pilot study at Imperial College Healthcare NHS Trust demonstrated a 9% increase in scanning throughput and zero exam recall rates. The system facilitates remote collaboration while maintaining privacy and security standards, addressing the growing challenge of technologist shortages, particularly for complex procedures like cardiac MR.

Philips has unveiled its next-generation 1.5T BlueSeal MR wide-bore scanner at RSNA 2024, featuring a 70 cm wide-bore design and integrated AI-enabled MR Smart Workflow solutions. The system is helium-free, making it the lightest 1.5T 70cm MRI system available, up to 1700kg lighter than conventional systems. The scanner integrates Smart Reading technology, a cloud-based AI toolset partnering with icometrix and Quibim for neurological and prostate cancer diagnostics. Key features include SmartSpeed technology offering up to 65% higher resolution or 3x faster scanning, and AI-enabled workflow solutions for enhanced efficiency. The system requires only 7 liters of helium that never needs refilling and saves nearly 40mWh in energy annually.

Philips (NYSE: PHG) announces the next phase of its holiday ad campaign featuring actor Adam Scott for its Philips Norelco grooming brand. The new creative spot showcases Scott as the holiday season's No. 1 Facial Hair Ambassador, paying tribute to Santa Claus while promoting the Philips Norelco Shaver S9000 Prestige. The campaign continues the partnership launched in April, focusing on personal growth and self-expression through facial hair grooming. Scott's product picks will be available at select retailers during the holiday season, including the Philips Norelco OneBlade 360.

Philips has received FDA 510(k) clearance for its Spectral CT 7500 RT, the world's first spectral 4DCT respiratory-gated imaging system for radiation therapy. This innovative technology combines conventional and spectral CT capabilities in a single scan, enabling more precise radiation therapy planning by better visualizing tumor characteristics. The system reduces proton stopping-power ratio error by over 50% compared to conventional CT and creates stopping power ratio maps with less than 1% deviation, significantly improving treatment accuracy while sparing healthy tissue. This advancement allows for more personalized cancer treatment without adding extra steps to existing radiotherapy workflows.