Latest AI and machine learning research in pathology for healthcare professionals.
The collection of delicate deep-sea specimens of biological interest with remotely operated vehicle ...
The advantages of dual console use in robotic surgical education have not been described. The aims o...
Technological advances, in particular the development of high-throughput sequencing, have led to the...
Plasma exosomes have shown great potential for liquid biopsy in clinical cancer diagnosis. Herein, w...
The diagnosis of new diseases is a challenging problem. In the early stage of the emergence of new d...
Cancer statistics in 2020 reveals that breast cancer is the most common form of cancer among women i...
Infection diseases are among the top global issues with negative impacts on health, economy, and soc...
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence su...
Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on t...
This study aimed to analyze the diagnostic value of multimodal images based on artificial intelligen...
This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long ...
The research is aimed at investigating computed tomography (CT) image based on deep learning algorit...
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of ...
The plant growth regulator gibberellic acid (GA3) is widely used in agriculture in many countries. H...
Untethered small-scale robots offer great promise for medical applications in complex biological env...
The objective of this study was to evaluate the incidence of perioperative complications in robotic-...
Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. ...
The neuroprotective effects of the aqueous extract of Daucus carota (Dc) tuber against arsenic-induc...
OBJECTIVE: To explore the feasibility of using random forest (RF) machine learning algorithm in asse...
The mitotic count (MC) is an important histological parameter for prognostication of malignant neopl...