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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.

Jul 2210 min read

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.

Jun 258 min read

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.

Jul 145 min read

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.

Jul 188 min read

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.

Jul 189 min read

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.

Jun 119 min read

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.

Jul 177 min read

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.

Mar 217 min read

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.

May 295 min read

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.

May 58 min read