Healthcare
Healthcare Analytics Adoption Model in 2025
Analytics tools are used heavily today in healthcare organizations’ financial, operational, and clinical functions. Healthcare adoption models are used as a guide to measure and advance an organization’s predictive and prescriptive analytics capabilities. The first analytics adoption model, a 5-step framework focusing on data management, was released in 2002.
12 Real-Life Applications of Deep Learning in Healthcare
The computing capability of deep learning models can enable fast, accurate and efficient operations in patient care, R&D and insurance. Generative AI, computer vision, natural language processing, reinforcement learning are the most commonly used techniques deep learning in healthcare. IDC claims that: Patient Care 1.
![Top 10 Healthcare Analytics Use Cases & Challenges [2025]](https://research.aimultiple.com/wp-content/uploads/2021/04/Healthcare-Analytics-Use-Cases-1-190x107.png.webp)
Top 10 Healthcare Analytics Use Cases & Challenges [2025]
Healthcare organizations increasingly depend on analytics to drive improvements in clinical care, financial performance, and operational efficiency. The global market for healthcare analytics is expected to grow to ~$28 billion by 2025, reducing costs and improving patient outcomes are key benefits of utilizing healthcare analytics.
Top 10 Chatbots in Healthcare: Insights & Use Cases [2025]
Today there is a chatbot solution for almost every industry, including marketing, real estate, finance, the government, B2B interactions, and healthcare.
AI in Healthcare: Challenges & Best Practices in 2025
The introduction of AI in healthcare is advancing medical research and enabling faster, more accurate diagnoses and personalized treatments. This improves patient outcomes. With AI technology, healthcare systems have also become smarter and more efficient. However, deploying real-world AI applications to production environments can be challenging.
IBM reshaping Watson for transforming its AI business ['25]
Thomas J. Watson Sr. joins Computing-Tabulating-Recording Company (CTR) in 1914 and over the next two decades transforms it into a growing leader in innovation and technology. He built a worldwide industry; it is called to International Business Machines Corporation (IBM) in 1924.