Pneumothorax Detection with AIMS Coreset Selection: A Game-Changer in Imbalanced Data Management

November 7, 2024

Handling imbalanced datasets is one of the toughest challenges in medical imaging.When it comes to pneumothorax-a critical lung condition often detected through chestX-rays-imbalanced data can result in models that overlook rare, yet life-threatening,cases.

AIMS: A Strong New Way to Pick Key Data for Radiology

October 8, 2024

The adoption of AI in healthcare faces several significant challenges, despite its vast potential benefits. One of the challenges is patient privacy. Patient privacy regulations (such as HIPAA in the U.S. and GDPR in Europe) impose strict controls on the sharing of healthcare data, which limits the diversity of datasets that AI developers can access.

All that glitters is not gold vs All you need is data

March 29, 2024

Timeless adage warns us, All that glitters is not gold. This proverb, emphasizing the importance of looking beyond appearances, has resonated for centuries. However, in the era of AI, a different mantra seems to dominate.

No cancer is the same: Enter AI, empowered by data analysis!

March 13, 2024

According to F. Kreier cancer will cost the world $25 trillion over the next 30 years and there are 5 cancer types that will account for half of the global cost.

Unlocking the Potential of Big Data in the AI Era: Overcoming the Challenges Rise of AI

November 27, 2023

In modern technology-driven world, artificial intelligence (AI) has captured the spotlight, revolutionizing industries and transforming our daily lives. This surge in AI development is inextricably linked to the rise of the Internet of Things (IoT), a network of interconnected devices generating massive amounts of data. This data is characterized by the three Vs - volume, velocity, and variety.