PRODUCER OF MEDICAL DEVICES AI BUILT IN
Here are some prominent producers of AI-integrated medical devices across various fields in healthcare:
1. GE HEALTHCARE
– Specialty: Imaging and diagnostics
– Devices: AI-enhanced CT, MRI, and ultrasound machines that use AI for faster and more accurate image processing, improving diagnostic workflows.
– AI Platform: Edison platform, which supports AI applications for diagnostics and clinical decision support.
2. PHILIPS HEALTHCARE
– Specialty: Imaging, diagnostics, and patient monitoring
– Devices: Smart diagnostic imaging systems (X-ray, CT, MRI) and wearable health monitors.
– AI Platform: HealthSuite, which provides predictive analytics for personalized patient care, including AI-assisted imaging for radiology.
3. SIEMENS HEALTHINEERS
– Specialty: Imaging, robotics, and lab diagnostics
– Devices: MRI and CT scanners, ultrasound systems, and smart lab devices integrated with AI for real-time diagnostics and anomaly detection.
– AI Platform: AI-Rad Companion, an AI-powered tool that assists radiologists with image interpretation, and eHealth Solutions for predictive analytics.
4. MEDTRONIC
– Specialty: Cardiology, diabetes management, and respiratory care
– Devices: Continuous glucose monitors (CGMs), AI-assisted insulin pumps, and ventilators with AI for patient-specific adjustments.
– AI Platform: CareLink and Sugar.IQ, platforms for diabetes management and remote monitoring of cardiac and diabetes devices.
5. JOHNSON & JOHNSON (ETHICON)
– Specialty: Surgical robotics and digital surgery solutions
– Devices: Robotic surgery systems with AI that assist with precision during surgery, such as orthopedic and minimally invasive procedures.
– AI Platform: Monarch Platform, an AI-driven endoscopic system for diagnosing and treating lung diseases.
6. CANON MEDICAL SYSTEMS
– Specialty: Diagnostic imaging
– Devices: AI-enhanced CT and MRI scanners that automate image reconstruction and analysis.
– AI Platform: Altivity, Canon’s AI-based imaging platform that assists in diagnostics and treatment planning.
7. IRHYTHM TECHNOLOGIES
– Specialty: Cardiology and cardiac monitoring
– Devices: Zio Patch, an AI-powered wearable ECG monitor that provides continuous monitoring and automated arrhythmia detection.
– AI Platform: Zio platform uses machine learning for analyzing ECG data and identifying arrhythmias.
8. ALIVECOR
– Specialty: Consumer and clinical cardiac care
– Devices: KardiaMobile and KardiaBand, portable ECG devices with AI algorithms that detect atrial fibrillation and other cardiac conditions.
– AI Platform: AliveCor’s cloud platform uses AI to interpret ECG data and offers real-time cardiac insights.
9. BUTTERFLY NETWORK
– Specialty: Portable ultrasound imaging
– Devices: Butterfly iQ, a handheld ultrasound device that uses AI to improve imaging quality and diagnostic capabilities.
– AI Platform: Butterfly Cloud offers AI-based image analysis and secure data storage.
10. PROPELLER HEALTH (ACQUIRED BY RESMED)
– Specialty: Respiratory care and digital health
– Devices: Smart inhalers and nebulizers that use AI to monitor adherence and provide insights on asthma and COPD management.
– AI Platform: Propeller’s digital platform uses AI to analyze inhaler usage and provide recommendations for improving treatment adherence.
11. BOSTON SCIENTIFIC
– Specialty: Cardiac and neurological health
– Devices: Cardiac implants with AI for arrhythmia monitoring, and spinal cord stimulators with AI for pain management.
– AI Platform: Uses machine learning algorithms to adjust therapy in real time based on patient feedback.
12. VIZ.AI
– Specialty: Neurology and stroke care
– Devices: AI-driven software that integrates with CT and MRI devices to quickly identify stroke cases.
– AI Platform: Viz.ai software alerts physicians in real-time, accelerating stroke treatment decisions and patient outcomes.
These producers lead the industry by embedding AI into medical devices that enhance diagnostics, enable personalized treatment, and improve overall clinical workflows. Their devices span various areas from cardiology to neurology, respiratory care, and surgical robotics, helping to advance patient care with AI-driven insights.