Recently, artificial intelligence (AI) has become a potent and innovative branch of computer science that is rapidly transforming healthcare delivery across the world. With its promise of improved diagnostics, individualized care, and effective health service management, it has the potential to fundamentally change medical practice and healthcare delivery. Yet, despite its potential, AI’s growing influence also raises serious concerns about algorithmic bias, data misuse, over-reliance, and even the high risk of causing the emergence of a public health burden. This article critically examines recent breakthroughs in the application of AI in healthcare, whether AI represents a genuine advance toward better healthcare services or whether it could inadvertently contribute to public health risk. It is then argued that while AI’s benefits are undeniable, its unregulated or poorly designed deployment could cause a growing public health burden. A balanced, human-centered, and ethical approach to AI adoption is therefore essential to ensure that digital progress translates into real health gains and discusses the possible future direction of AI-augmented healthcare systems.
Adapting DeepLabV3+ for biopsy cervical cancer lesion segmentation
IntroductionCervical cancer remains a leading cause of cancer mortality in resource-constrained settings, where access to advanced digital pathology equipment is severely limited. Automated histopathological image