In recent years, AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Artificial intelligence (AI) is dominating headlines and boardroom conversations, yet most projects stall before they matter. MIT reports that 95% of generative AI pilots fail to show measurable ...

DÜSSELDORF, Germany, Nov. 20, 2025 (GLOBE NEWSWIRE) -- At MEDICA, the world's most influential event for the medical device industry held in Düsseldorf, Germany, Ecer.com, a leading global mobile B2B ...

Ecer.com's "AI Procurement" system focuses on solving the matching efficiency issues in cross-border trade. Through intelligent algorithms, the system can quickly understand buyer's specific ...

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AI rapidly analyzes massive datasets — such as genomic data, clinical trial results, and electronic health records — to identify patterns and insights. Machine learning algorithms improve diagnostic ...

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"I think with any business when it comes to AI influencers, we've all seen them whether we know it or not," Durrani said. "Now we’re starting to see that in the healthcare space, which kind of worries ...

Our fairness analysis ruled out disparities in model performance between different sex groups, but we found fairness infringements across age groups. Conclusions: This study demonstrates that AI ...