Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …

Thyroid cancer is an increasing global health concern that requires advanced diagnostic
methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this …

The rapid increase in human activities is causing significant damage to our planet's
ecosystems, necessitating innovative solutions to preserve biodiversity and counteract …

This paper discusses the role of Transfer Learning (TL) and transformers in cancer detection
based on image analysis. With the enormous evolution of cancer patients, the identification …

Timely identification and treatment of rapidly progressing skin cancers can significantly
contribute to the preservation of patients' health and well-being. Dermoscopy, a dependable …

The growing interest in developing smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …

Artificial intelligence (AI) is advancing across technology domains including healthcare,
commerce, the economy, the environment, cybersecurity, transportation, etc. AI will transform …

Advancements in genomic technologies have paved the way for significant breakthroughs in
cancer diagnostics, with DNA microarray technology standing at the forefront of identifying …

Background For medullary thyroid carcinoma (MTC) with no positive findings in the lateral
neck before surgery, whether prophylactic lateral neck dissection (LND) is needed remains …

In recent times, the fields of high-energy physics (HEP) experimentation and
phenomenological studies have seen the integration of machine learning (ML) and its …