What do these solutions do?
Understanding the patient context prior to a diagnostic procedure is critical to a radiologist and the healthcare professionals relying on medical imaging diagnoses. AWS and AWS Partner solutions utilize AI/ML to optimize the diagnostic interpretation process, integrating information from different systems and filtering and presenting the data based on relevance. The solutions help improve the accuracy and completeness of the diagnostic reports produced, thereby increasing health worker productivity and improving patient care.
In research, existing PACS and VNA systems have limited search capabilities, yielding mismatched search results. After completing the search and discovery process, researchers must create copies of de-identified images for analysis to compile relevant samples, which can be time-consuming. Finally, the training process with existing AI tools to create a suitable cohort can be onerous. AWS and AWS Partner solutions provide granular search capabilities of images stored in PACS and VNAs, along with the ability to directly access deidentified data from the clinical archive as part of the training process to eliminate the time and cost associated with creating and managing separate copies.
Partners

Philips uses Amazon Web Services (AWS) to develop data analytics, machine learning, and computer vision technologies that enable healthcare providers to make better decisions for their patients. The company uses AWS for its HealthSuite Digital Platform , which securely consolidates information from patient records, wearables, home-based remote monitoring equipment, insurance companies, and healthcare organizations.
For more information, visit the Philips HealthSuite website.

AWS is How: Philips makes medical diagnostics accessible to more people
Philips HealthSuite Platform (HSP), built on AWS, has created a single architecture that consolidates patient records, data from wearable and home-based remote medical-monitoring equipment, and information from insurance companies and healthcare organizations.
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Accelerate cloud healthcare and life science innovation in regulated environments
Philip's HealthSuite digital platform fosters open and collaborative innovation focused on developing breakthrough health, wellness and life science solutions that will transform the way care is delivered.
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AWS re:Invent – Elad Benjamin of Philips on using AWS to help improve healthcare
In this video, Elad Benjamin, general manager of Radiology Informatics, describes how AWS is helping Philips increase its use of AI and data science to extract new knowledge from health data.
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Other Providers

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Rad AI drives revenue by 10x using Amazon EC2 powered by NVIDIA
Rad AI helps alleviate radiologists workloads by training ML models to read detailed documents and automatically summarize results customized to the radiologist’s language, which ordering physicians use to identify ailments and devise treatment plans. To increase its ML inference speed and generate real-time conclusions, the company chose AWS.
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Aidoc brings lifesaving AI advancements to medical imaging on AWS
Aidoc provides radiologists with advanced solutions that utilize AI and image-recognition tools to augment radiologists’ expertise. Decision support software analyzes CT scans to flag acute abnormalities, prioritize life-threatening cases, and expedite patient care.
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AI-enabled radiomics revolutionizes cancer research and treatment on AWS
Through HealthMyne’s AI-enabled solutions, organizations can access and easily translate ground-breaking radiomic insights—those related to the cutting-edge field of extracting novel data and predictive biomarkers from medical images—to be used in cancer research, treatment planning, and clinical management.
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