Healthcare
Top 3 AI Applications in the Field of Dermatology in 2025
Artificial intelligence (AI) is revolutionizing many areas in the healthcare sector. One of the emerging areas where AI is being increasingly applied is dermatology. However, understanding of this technology in dermatology is still limited.
AI in X-ray Analysis: Benefits & Challenges in 2025
X-ray is the most common form of medical imaging: it is estimated that 3.6 Billion X-ray images are taken each year. However, 45% of radiologists report burnout due to time pressure and the rising volume of scans. AI can analyze and report X-ray results, which can have an impactful effect on radiology.
Top 6 Radiology AI Use Cases for Improved Diagnostics ['25]
Radiology teams are under pressure from growing scan volumes, staff burnout, and the risk of diagnostic mistakes. These challenges are making it harder to deliver timely and accurate care. AI is helping to ease the burden by accelerating image analysis, minimizing errors, and facilitating more informed decisions.
23 Healthcare AI Use Cases with Examples in 2025
Healthcare systems are under growing pressure from rising patient data and demand for personalized care. A recent study found that 154 of 290 hospital referral regions (53%) experienced workload imbalances, highlighting the strain on resources and the need for more efficient solutions.
AI Pharma: Transforming Drug Discovery in 2025
Traditional drug development in healthcare is time-consuming and costly, often taking years to bring a new treatment to market. By leveraging AI-driven models in healthcare, pharma companies can analyze vast amounts of chemical, biological, and clinical data with greater precision.
17 Computer Vision in Healthcare Use Cases & Examples
Even though Hinton, a Turin award recipient, claimed that radiology would be automated by 2021, such accelerated automation hasn’t occurred.However, AI-driven computer vision in healthcare is still expected to increase precision in surgery, medical imaging, and real-time patient monitoring, while enabling faster and more reliable decision-making.
Deploy Process Mining in Healthcare with 5 Powerful Tips
The digitalization of healthcare is crucial to improve patient care and allocate the necessary resources properly. As healthcare is more digitalized, more process data is being generated which can be mined for insights. Over the last few years, healthcare has become one of the fields where researchers actively discuss process mining applications.
12 Real Life Applications of Deep Learning in Healthcare ['25]
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 with Examples ['25]
The $28 billion healthcare analytics marketis transforming how providers, payers, and life sciences organizations compete, and companies that move now can seize the advantage. By delivering solutions that drive predictive care, reduce costs, and optimize operations, analytics unlocks new revenue streams and strengthens customer loyalty in a healthcare industry racing toward data-driven performance.
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.