Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

Cancer is a major health concern due to its high incidence and mortality rates. Advances in
cancer research, particularly in artificial intelligence (AI) and deep learning, have shown …

Artificial Intelligence (AI) tools are being developed to assist with increasingly complex
diagnostic tasks in medicine. This produces epistemic disruption in diagnostic processes …

Cytogenetics laboratory tests are among the most important procedures for the diagnosis of
genetic diseases, especially in the area of hematological malignancies. Manual …

Stimuli-responsive theranostic agents represent a class of molecules that integrate
therapeutic and diagnostic functions, offering the capability to respond to diseases …

Skin cancer mortality rates continue to rise, and survival analysis is increasingly needed to
understand who is at risk and what interventions improve outcomes. However, current …

Artificial intelligence (AI) is being used increasingly to detect fatal diseases such as cancer.
The potential reduction in human error, rapid diagnosis, and consistency of judgment are the …

Every technological or scientific advance is accompanied by a change in social structures,
moral concepts, laws and education. As more and more people gain access to the digital …

In big data analysis with the rapid improvement of computer storage capacity and the rapid
development of complex algorithms, the exponential growth of massive data has also made …

Background Artificial intelligence (AI) is more and more widely used in cancer, which is of
great help to doctors in diagnosis and treatment. This study aims to summarize the current …