Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …

Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors
for solving complex tasks with minimal human intervention, including machine learning and …

Background The widespread use of Immune checkpoint-inhibitors (ICI) has revolutionised
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …

Background Checkpoint inhibition has radically improved the perspective for patients with
metastatic cancer, but predicting who will not respond with high certainty remains difficult …

Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …

Dual-energy CT (DECT) imaging has broadened the potential of CT imaging by offering
multiple postprocessing datasets with a single acquisition at more than one energy level …

Background: Early noninvasive screening of patients who would benefit from neoadjuvant
chemotherapy (NCT) is essential for personalized treatment of locally advanced gastric …

Osteosarcoma was the most frequent type of malignant primary bone tumor with a poor
survival rate mainly occurring in children and adolescents. For precision treatment, an …