Latest AI and machine learning research in breast cancer for healthcare professionals.
Concerns over need for CT radiation dose optimization and reduction led to improved scanner efficien...
BACKGROUND: Deep learning methods have great potential to predict treatment response. The objective ...
OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image...
Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimid...
PURPOSE: Concern about a long-term effect of the delivery of intensity modulated radiation therapy (...
INTRODUCTION: Nipple-sparing mastectomy (NSM) can be performed for the treatment of breast cancer an...
PURPOSE: Ultrasound (US) imaging is an established imaging modality capable of offering video-rate v...
PURPOSE: We develop a deep learning (DL) radiomics model and integrate it with circulating tumor cel...
A common gynecological disease in the world is breast cancer that early diagnosis of this disease ca...
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...
Kilovoltage cone-beam computed tomography (CBCT)-based image-guided radiation therapy (IGRT) is used...
Although significant advancements in computer-aided diagnostics using artificial intelligence (AI) h...
OBJECTIVE: To study the impact of artificial intelligence (AI) on the performance of mammogram with ...
OBJECTIVES: Breast cancer (BC) is the most common cancer in women worldwide, and neoadjuvant chemoth...
The information captured by the gist signal, which refers to radiologists' first impression arising ...
The increasing use of solar energy as a source of renewable energy has led to increasing the interes...
Biosimilar products present a growing opportunity to improve the global healthcare systems. The amou...
PURPOSE: To develop a Natural Language Processing (NLP) and Machine Learning (ML) pipeline that can ...
Although radiation level is a serious concern which requires continuous monitoring, many existing sy...
Optimizing the CT acquisition parameters to obtain diagnostic image quality at the lowest possible r...
At its core, radiation therapy (RT) requires balancing therapeutic effects against risk of adverse e...