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Search Results for: healthcare

Why the Future of Healthcare is Federated AI

In this special guest feature, Akshay Sharma, Executive Vice President of Artificial Intelligence (AI) at Sharecare, highlights advancements and impact of federated AI and edge computing for the healthcare sector as it ensures data privacy and expands the breadth of individual, organizational, and clinical knowledge.

Data and Analytics are Helping to Drive Healthcare Innovation

In this special guest feature, Ashley Kramer, Chief Product & Marketing Officer for Sisense, highlights the stories of three companies that used data and insights to improve patient care, adapt to a tumultuous healthcare landscape, and maintain strong business operations.

Data Science Salon for Healthcare, Finance & Technology

insideBIGDATA is pleased to announce that it is a Community Partner for the upcoming “Data Science Salon for Healthcare, Finance & Technology” virtual event (use special discount code: insideBIGDATA20 when registering). DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

Data Science Salon Virtual Healthcare, Finance & Technology

DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

Have a Goal in Mind: GPT-3, PEGASUS, and New Frameworks for Text Summarization in Healthcare and BFSI

In this contributed article, Dattaraj Rao, Innovation and R&D Architect at Persistent Systems, discusses the rise in interest for neutral network language models, specifically the recent Google PEGASUS model. This model not only shows remarkable promise when it comes to text summarization and synthesis, but its non-generalized approach could push industries such as healthcare to embrace NLP much earlier than was once supposed.

Healthcare Hit by Data Tsunami

In this contributed article, David Leichner is CMO at SQream, discusses how healthcare organizations are waging battles against cancer, diabetes and heart disease while also struggling to beat the COVID-19 pandemic. Despite the fact all of these illnesses have different symptoms and causes they all have something in common. Big Data is being fed into models that can find potential treatment and cures.

Prioritize, Don’t Ration: AI Will Lead Healthcare through the Post-COVID Bottleneck

In this contributed article, Ohad Arazi, Chief Executive Officer of Zebra Medical Vision, explains that while AI can’t yet fight the coronavirus directly, it can play a central role in creating the efficiency needed for healthcare professionals to get to as many cases possible, especially post-COVID-19.

Insights Beyond the Bedside: Machine Learning for Healthcare Administration, Utilization, and Cost (AUC)

In this special guest feature, Corinne Stroum, Director of Product for Utilization and Cost at KenSci, discusses how healthcare’s migration to electronic medical records in the early 2010s heralded an age of promise: increased efficiency, an opportunity to understand disease and populations at scale, and a reduction in errors. Like other industries, healthcare has also faced the challenge of adopting technologies before policy and ethics have had a chance to understand its implications.

Healthcare APIs & Artificial Intelligence: What’s the Big Data Connection?

In this contributed article, freelance human Avery Phillips discusses how healthcare APIs, along with AI, is on the brink of revolutionizing healthcare. However, in order for breakthroughs such as predictive analysis to take place, the connection must be made to big data.

Current Trends in Healthcare Data & Research

In this contributed article, Magnolia Potter describes how as the world continues to become more interconnected, the valuable data generated can be used by the healthcare industry to continue improving patient outcomes, develop new treatments, and even predict public health crises before they become an issue.