Скачать или смотреть Ontada, Microsoft, and Azure AI: Transforming Real-Word Data Processing in Oncology

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0:00 Introduction
1:48 Ontada's Artificial Intelligence Approach
5:30 Impact of Data Extraction in Patient Outcomes
9:15 Microsoft Collaboration
12:18 Balancing Accuracy and Efficiency
15:08 Potential Use Cases

In this episode of Exploring Artificial Intelligence in Oncology, Dr. Wanmei Ou, Vice President of Product, Clinical Decision Support, & Analytics Data Platform at Ontada, discusses the transformative collaboration with Microsoft to enhance oncology data processing with Azure OpenAI technology. Hosted by Dr. Waqas Haque, this podcast delves into the challenges and breakthroughs in utilizing unstructured data from electronic health records (EHRs) to improve patient care.

Key insights from the episode:

How Ontada’s AI models are addressing the limitations of unstructured oncology data
The role of AI in reducing clinical documentation burdens and improving workflows
Success story: Streamlining oncology data submission to the White House Cancer Moonshot Initiative
Collaboration with Microsoft to scale AI deployment and accelerate data processing
Future directions for AI in oncology, including predictive analytics and personalized treatment

Learn how AI is driving innovation, enhancing clinical decision-making, and paving the way for more efficient, personalized cancer care.

#ArtificialIntelligence #Oncology #EHR #AzureAI #MachineLearning #CME #HealthcareInnovation #DataProcessing #CancerCare #OncologyAI #PrecisionMedicine