Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Abstract Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of
medical innovation, promising enhanced diagnostics, streamlined processes, and improved …

Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …

The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human
behavior. To appreciate human-technology interaction in the clinical setting, augmented …

The US healthcare system is at a crossroads. With an aging population requiring more care
and a strained system facing workforce shortages, capacity issues, and fragmentation …

Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Today, despite decades of developments in medicine and the growing interest in precision
healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs …