A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a study by researchers at the Johns Hopkins Kimmel Cancer Center in collaboration with several other institutions...
Cancer detection has long been a continuous key performer in oncological research. The revolution of artificial intelligence (AI) and its application in the field of cancer turned out to be more promising in the recent years. This paper provides a detailed review of the various aspects of AI ...
In recent years, AI and data science have become increasingly important incancertreatment and drug discovery because of the capability to process large-scale complex biological and clinical data. As their first attempt at using AI in cancerdrug discovery, Dr. Zhang's research group, whose research...
While previous solutions could detect cancer, this one can grade it too. At a Glance: • NAS-SGAN uses AI to detect and classify breast cancer tumors, which helps physicians making healthcare decisions. • The innovative approach uses Intel® Xeon® Scalable processors for tr...
The use of machine learning to detect, predict, and classify disease has grown exponentially in the past few years, especially for complex tasks such as lung cancer detection and recognition. Deep Convolutional neural networks (DCNN) have exploded in popularity for transforming the field of computer...
Could ants help to detect cancer? 蚂蚁能帮助“嗅出”癌症? 7万 2023-03 8 Ship restoration: Medieval vessel is 'world's largest 3D puzzle 6.5万 2023-03 9 英国男子解开两万年前冰河时期洞穴壁画之谜 10.5万 2023-01 10 英格兰地区将禁用一次性塑料餐盘和餐具 ...
The AI tool performed comparably to trained human "curators" in detecting the presence ofcancer; and whether it was responding to treatment interventions, stable or worsening. The goal of the study, said corresponding author Kenneth Kehl, MD, MPH, a medical oncologist and faculty member of the ...
doi:10.1001/jamanetworkopen.2024.4077 Key Points Question What are oncologists’ views on ethical issues associated with the implementation of artificial intelligence (AI) in cancer care? Findings In this cross-sectional survey study, 84.8% of US oncologists reported that AI needs to be explainable...
Amirkiai and Stanley J. Rogers and Jonathan T. Carter and Andrew M. Posselt - 《Surgery for Obesity & Related Diseases》 被引量: 90发表: 2013年 Comparison of real-time \\{PCR\\} with conventional methods to detect dermatophytes in samples from patients with suspected dermatophytosis ...
Therefore, we investigate the introduction of artificial intelligence (AI) for cerebral edema images using deep learning segmentation (DLS) and clinicians’ description standard analysis15,16. This study hopes to establish a good automatic description of cerebral edema complications software, so that ...