Latest AI and machine learning research in breast cancer for healthcare professionals.
BACKGROUND: Robotic systems for chemotherapy preparation offer improved accuracy and staff safety bu...
Accurate prediction of skeletal changes during orthodontic treatment in growing patients remains cha...
Precision chemotherapy management requires efficient and ultrasensitive dynamic monitoring of drug p...
Crop yield is important for agricultural productivity and the country's economy. While crop yield es...
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on t...
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable publ...
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...
Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy ...
. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requir...
BACKGROUND: Noninvasive and precise tools for treatment response estimation in patients with high-ri...
Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...
.: In radiation oncology, precision and timeliness of both planning and treatment are paramount valu...
PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...
This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emi...
INTRODUCTION: The dose magnitude required to fine-tune radiation in multi-lesion stereotactic ablati...
Lung adenocarcinoma (LUAD) is a major cause of cancer-related mortality globally. Proliferating cell...
BACKGROUND: Breast cancer is the most prevalent form of cancer worldwide, with 2.3 million new diagn...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...
The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...
Thermophotovoltaics (TPVs) convert radiative heat to electricity and are promising in applications s...
To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruc...