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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Clinics that use cutting-edge technology will continue to thrive as intelligent systems evolve. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. Nobody had any idea what it could do for them in the near term.

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Radar Trends to Watch: October 2024

O'Reilly Media - Ideas

The model release train continues, with Mistral’s multimodal Pixtral 12B, OpenAI’s o1 models, and Roblox’s model for building 3D scenes. We also have another important AI-enabled programming tool: Cursor is an alternative to GitHub Copilot that’s getting rave reviews. It’s compiled, and it can be used for embedded systems.

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10 Digital Transformation Examples from 10 Industries

Modus Create

Audi’s internal innovation center, Audi Business Innovation (ABI), used Unreal Engine to develop a revolutionary new tool: Automotive Visualization Platform (AVP ), which develops photorealistic 2D and 3D imagery with customizable camera angles and environments. The results were incredible. Sephora used Aha! and everything in Aha!

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Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

Based on a Deloitte survey , 92% of healthcare professionals and institutions have seen performance improvements due to digital transformation. IoMT is a network of connected medical devices, wearable technology, sensors, and other healthcare-related technology that is integrated with cloud computing systems.

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Generative AI in Healthcare: Use Cases, Benefits, and Challenges

John Snow Labs

Boston Consulting Group (BCG ) highlights the diverse applications of Generative AI across various healthcare segments, such as providers, pharmaceutical firms, payers, and public health agencies. These AI systems analyze amounts of data including genomics, lifestyle factors and ongoing health information to create customized care plans.

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3 Ways Intelligent Analytics Can Improve Patient Outcomes in Healthcare

Trigent

Hartford HealthCare, a comprehensive and integrated healthcare system serving more than 17,000 people daily across its 400 locations, recently announced its decision to launch a novel research initiative with Ibex Medical Analytics. No wonder AI spending in the healthcare and pharmaceutical industries is predicted to surge.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. In Part 1, we review the RAG design pattern and its limitations on analytical questions.