Latest AI and machine learning research in pathology for healthcare professionals.
Breast cancer remains the most frequently diagnosed cancer and a leading cause of cancer-related mor...
OBJECTIVES: Large language models (LLMs) are increasingly proposed as clinical decision-support tool...
Lesions with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 4 or greater on multipa...
Artificial intelligence (AI) is rapidly transforming histopathology, with applications ranging from ...
Pituitary neuroendocrine tumors (PitNETs) are common intracranial neoplasms with heterogeneous hormo...
Cancer remains one of the leading global health burdens, with increasing complexity in genomic, imag...
This work sought to improve bioimpedance-based tissue identification model performance on an eight-t...
In contemporary anatomy and histology education, students increasingly gain access to large image re...
This study established an integrated framework combining multi-omics analysis, machine learning (ML)...
Artificial intelligence (AI) has rapidly transformed cardiac CT, extending its clinical utility from...
The morphological analysis of peripheral blood cells is increasingly adopting deep learning, mainly ...
Electrochemical nanobiosensors now produce not only scalar analytical readouts but also voltammetric...
OBJECTIVE: This study aimed to develop and validate a deep learning framework to classify chronic ve...
RATIONALE AND OBJECTIVES: Pituitary neuroendocrine tumors (PitNETs) exhibit diverse biological behav...
Ovarian cancer remains the most lethal gynaecological malignancy, largely due to late-stage diagnosi...
Ophthalmic imaging has advanced to a level at which it can closely approximate key histopathological...
Emerging evidence indicates that coagulation-related molecular programs are associated with thrombos...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology,...
BACKGROUND: Deep learning has shown promising performance in cervical cytology; however, many studie...
Precision medicine terminology is increasingly used across clinical, laboratory, payer, regulatory, ...
Atypical glandular cells (AGC) are a diagnostic challenge. The aim of this study was to evaluate the...