Healthcare AI
AI for Mental Health: 7 Use Cases with Real-Life Examples
Mental health challenges are a worldwide concern, especially after the COVID-19 pandemic, which saw an estimated 76 million additional cases of anxiety disorders.This heightened stress strained healthcare systems and increased demand for mental health support. Yet, traditional care faces barriers like professional shortages, high costs, and social stigma.
Top 12 Use Cases in AI for Neurology with Examples in 2025
Neurological disorders are among the most complex and costly to diagnose and manage, contributing billions in global healthcare expenditures each year.
AI in Dermatology: 5 Use Cases & Examples in 2025
Urgent skin lesion referrals rose 170% in 10 years, and dermatology waitlists grew 82% since 2021. Long-term hiring plans aside, patients with chronic skin conditions must also have fair access to care.
XRay AI: Definition, Use Cases & Examples in 2025
The integration of artificial intelligence (AI) to radiology is not a futuristic vision; it’s already redefining clinical workflows, particularly in X-ray imaging. AI tools are now embedded into imaging systems, enabling real-time decision support and improving workflow efficiency, image quality, and clinical accuracy.
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.
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.