The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Current imaging methods for diagnosing breast cancer (BC) are associated with limited
sensitivity and specificity and modest positive predictive power. The recent progress in …

Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …

Background Predicting breast cancer molecular subtypes can help guide individualised
clinical treatment of patients who need the rational preoperative treatment. This study aimed …

Simple Summary The optimal imaging method for deep myometrial infiltration assessment in
endometrial cancer is uncertain. We aimed to compare transvaginal ultrasound and …

Neoadjuvant chemotherapy plus radical surgery could be a safe alternative to chemo-
radiation in cervical cancer patients who are not willing to receive radiotherapy. The …

Background and aims Preoperative prediction of axillary lymph node (ALN) burden in
patients with early-stage breast cancer is pivotal for individualised treatment. This study …

Breast Cancer (BC) is a major health issue in women of the age group above 45.
Identification of BC at an earlier stage is important to reduce the mortality rate. Image-based …

This manuscript delineates the pathway from in-house research on Artificial Intelligence (AI)
to the development of a medical device, addressing critical phases including …

Breast cancer is the most common and most commonly diagnosed non-skin cancer in
women. There are several risk factors related to habits and heredity, and screening is …