Abstract» The application of artificial intelligence (AI) in the field of orthopaedic surgery
holds potential for revolutionizing health care delivery across 3 crucial domains:(I) …

The expansion applications of semiconducting polymer dots (Pdots) among optical
nanomaterial field have long posed a challenge for researchers, promoting their intelligent …

The advancements in data acquisition, storage, and processing techniques have resulted in
the rapid growth of heterogeneous medical data. Integrating radiological scans …

The field of computational pathology has witnessed remarkable progress in the
development of both task-specific predictive models and task-agnostic self-supervised vision …

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

Artificial intelligence has dramatically reshaped our interaction with digital technologies,
ushering in an era where advancements in AI algorithms and Large Language Models …

Cancer clinics capture disease data at various scales, from genetic to organ level. Current
bioinformatic methods struggle to handle the heterogeneous nature of this data, especially …

Multi-omics research has enhanced our understanding of cancer heterogeneity and
progression. Investigating molecular data through multi-omics approaches is crucial for …

As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon termed often as" …

Deep Learning models have been successfully utilized to extract clinically actionable
insights from routinely available histology data. Generally, these models require annotations …