The diagnosis of prostate cancer (PCa) depends on the evaluation of core needle biopsies
by trained pathologists. Artificial intelligence (AI) derived models have been created to …

BACKGROUND Cervical cytology screening is usually laborious with a heavy workload and
poor diagnostic consistency. The authors have developed an artificial intelligence (AI) …

Artificial intelligence (AI) is at the forefront of modern technology and emerging uses within
the healthcare sector are now being realised. Pathology will be a key area where the impact …

Objective: Clinical trials are the most effective way to judge the merits of diagnosis and
treatment strategies. The in-depth mining of clinical trial data enables us to grasp the …

BACKGROUND Patients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are
potentially cured with definitive treatment. However, there are currently no reliable …

Abstract Machine learning technology is expected to support diagnosis and prognosis
prediction in medicine. We used machine learning to construct a new prognostic prediction …

Abstract Purpose of Review This review aims to explore the current state of research on the
use of artificial intelligence (AI) in the management of prostate cancer. We examine the …

Simple Summary The increasing interest in implementing artificial intelligence in radiomic
models has occurred alongside advancement in the tools used for computer-aided …

Objectives Esophageal cancer is a high occult malignant tumor. Even with good diagnosis
and treatment, the 5-year survival rate of esophageal cancer patients is still less than 30 …

Background: Cardiac allograft vasculopathy (CAV) is a leading cause of morbidity and
mortality for heart transplant recipients. Although clinical risk factors for CAV have been …