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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

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Automate prior authorization using CRD with CDS Hooks and AWS HealthLake

AWS Machine Learning

Prior authorization is a crucial process in healthcare that involves the approval of medical treatments or procedures before they are carried out. This process is necessary to ensure that patients receive the right care and that healthcare providers are following the correct procedures. Submit the request for prior authorization.

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Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning

AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames. AWS and NVIDIA have come together to make this vision a reality.

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Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

These perspectives range from medical, technological, legal, and the most important perspective—the patient’s. The intent is to offer an accelerated path to adoption of predictive techniques within CDSSs for many healthcare organizations. Technical background A large asset for any acute healthcare organization is its clinical notes.

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Integrate Amazon Lex and Uneeq’s digital human platform

AWS Machine Learning

Having worked with brands across numerous verticals such as UBS (financial services), Vodafone (telecommunications ), and Mentemia (healthcare), Uneeq helps customers enable innovative customer experiences powered by Amazon Lex. Amazon API Gateway. To implement this solution, you need the following prerequisites: An AWS account.

APIs 82
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“ID + Selfie” – Improving digital identity verification using AWS

AWS Machine Learning

The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. The Amazon Rekognition CompareFaces API. For this, we use the Amazon Rekognition CompareFaces API. The default value is NONE. Solution overview.

APIs 73