Healthcare
Healthcare APIs: Top 7 Use Cases & Challenges with Examples
Healthcare APIs can facilitate the healthcare digital transformation and enable new ways for using healthcare data including: [aim_list] [/aim_list] Check out to explore healthcare API use cases and the possible challenges they face in the healthcare industry, with the recommendations for overcoming them.
Top 12 Use Cases in AI for Neurology with Real-Life Examples
AI-powered diagnostics and predictive analytics help improve accuracy in identifying neurological conditions, assist in early detection, and support decision-making. These advancements help address challenges in healthcare sector by reducing diagnostic delays and enabling efficient patient management. Explore the top 12 AI for neurology use cases and the ethical considerations healthcare providers should be aware of.
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: Enhancing Diagnostics & Efficiency
The rapid expansion of the AI-driven radiology market, with a projected CAGR of ~33%, rising from $2 billion in 2024 to $27 billion by 2032, highlights the increasing usage of AI to enhance diagnostic accuracy and improve patient outcomes in medical imaging.
20+ 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.
Top 4 Use Cases of RPA Pharma in 2025
Pharma is a large industry with market size of $1.3B. And the pharmaceuticals industry has been gaining more attention with the rise of COVID-19 and the need to quickly and safely develop vaccines for the public.
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.