Latest AI and machine learning research in other cancers for healthcare professionals.
RATIONALE AND OBJECTIVES: To evaluate semi-automatic segmentation of bladder ultrasound images and d...
The objective of this study is to develop and validate a Picture Archiving and Communication System-...
This study aimed to comprehensively investigate the molecular mechanisms of clear cell renal cell ca...
BACKGROUND: Breast cancer is the most frequently diagnosed malignancy and a leading cause of cancer-...
INTRODUCTION: Trauma is a leading cause of death worldwide, with emergency departments playing a piv...
BACKGROUND: Large language models (LLMs) such as GPT-4 are being evaluated for their use as supporti...
The development of deep learning models for histopathology frequently relies on transfer learning (T...
PURPOSE: Cystoscopic assessment is central to bladder cancer diagnosis, yet visual interpretation re...
BACKGROUND: Respiratory motion and inter-fraction anatomical variations reduce the accuracy of dose ...
Bone metastases are a major cause of morbidity in patients with advanced cancer, making accurate det...
PURPOSE: This study aims to characterize hospitalization-level morbidity and care burden associated ...
Pancreatic cancer is one of the most lethal digestive system malignancies worldwide, characterized b...
Gastric cancer (GC) is currently the fifth most common cancer globally, often driven by dysregulatio...
T-cell bispecific (TCB) therapies have demonstrated promising therapeutic efficacies for patients wi...
BACKGROUND: Early mortality after long-term care facility (LTCF) admission is common; yet, prognosti...
BACKGROUND: Accurate preoperative staging and identification of adverse pathological features in upp...
Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and early diagnosis is crit...
Ovarian cancer remains one of the deadliest gynecological malignancies, mainly due to its late diagn...
PURPOSE OF REVIEW: Nasopharyngeal carcinoma (NPC) is a malignant tumor characterized by a distinct g...
Objective: To construct a CT radiomics model based on intratumoral and peritumoral regions of hypoph...
Objective: This study aimed to construct an attention-based multi-task deep learning model that util...