Diagnostic workup of cancer patients is highly reliant on the science of pathology using
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …

The integration of digital technologies into health care has significantly enhanced the
efficiency and effectiveness of care coordination. Our perspective paper explores the digital …

Exa-scale volumes of medical data have been produced for decades. In most cases, the
diagnosis is reported in free text, encoding medical knowledge that is still largely …

The advent of digital pathology and the deployment of high‐throughput molecular
techniques are generating an unprecedented mass of data. Thanks to advances in …

Although the laboratory information system has largely solved the problem of storing
anatomic pathology reports and disseminating their contents across the healthcare system …

PURPOSE Literature on clinical note mining has highlighted the superiority of machine
learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of …

The integration of deep learning into radiology has the potential to enhance diagnostic
processes, yet its acceptance in clinical practice remains limited due to various challenges …

Context Analysis of diagnostic information in pathology reports for the purposes of clinical or
translational research and quality assessment/control often requires manual data extraction …

Background Synoptic reporting, the documenting of clinical information in a structured
manner, is known to improve patient care by reducing errors, increasing readability …

The biomedical literature is a vast and invaluable resource for biomedical research.
Integrating knowledge from the literature with biomedical data can help biological studies …