Purpose This review offers insight into AI's current and future contributions to medical image
analysis. The article highlights the challenges associated with manual image interpretation …

The interest in artificial intelligence (AI) applications in medical imaging has grown rapidly in
the past few years, largely driven by the success of deep learning. Methods ranging from …

In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Artificial intelligence (AI) technologies have significantly advanced the field of medical
imaging, revolutionizing diagnostic and therapeutic processes [1]. One notable application is …

The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

In the realm of healthcare, the integration of artificial intelligence (AI) has revolutionized
medical imaging analysis [1, 2, 3]. This research paper presents a comprehensive medical …

Over the past few decades, the global healthcare system has inducted several key
technologies in order to provide improved health services in various medical fields. Although …

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

The rapid development of artificial intelligence (AI) technology is leading many innovations
in the medical field and is playing a major role in establishing objective, consistent, and …