Results 41 to 50 of about 261,899 (345)
Chinese Herbal Medicine Image Recognition and Retrieval by Convolutional Neural Network. [PDF]
Chinese herbal medicine image recognition and retrieval have great potential of practical applications. Several previous studies have focused on the recognition with hand-crafted image features, but there are two limitations in them.
Xin Sun, Huinan Qian
doaj +1 more source
Bayesian network is a probabilistic graphical model within machine learning that supports decision-making under conditions of uncertainty in different domains.
Fernando Juliani, Carlos Dias Maciel
doaj +1 more source
Artificial Intelligence in Ultrasound Imaging: Current Research and Applications [PDF]
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent software or system based on big data information, machine learning and deep learning technologies.
Shuo Wang, BS, Ji-Bin Liu, MD, Ziyin Zhu, MD, John Eisenbrey, PhD
doaj +1 more source
Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era
The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting ...
Athanasia Mitsala +4 more
doaj +1 more source
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
In academia, it is rare for an event or issue to foster the extensive participation of multiple disciplines. Research related to COVID-19 has undeniably yielded a wealth of valuable insights and impetus for the progress of interdisciplinary research ...
Yunfan Li +6 more
doaj +1 more source
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Implicit knowledge learning:taking clinical simulation for example
In the course of computer-aided cardiovascular disease diagnosis, field experience modeling usually being ignored.Hereafter the strategy to focus on the discovey and study of implicit knowledge was presented.The importance of implicit knowledge in ...
Jun DONG
doaj
Taking brain-computer-interfacing one step further: a portable, wireless system coupled with online linear discriminant analysis for the detection of error-related potentials [PDF]
Recent years have witnessed extensive developments of computer science applications in medicine - assistive technologies. Among them, the concept of Brain-Computer-Interfaces, facilitating direct communication between brain and computer, has inspired ...
Ancău Dorina +2 more
doaj +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source

