… We developed a natural language processing (NLP) system to recognize device mentions
in radiology reports and information about their state (insertion or removal) to enable …

… Here, we use a type of AI known as natural language processing to extract information … on
chest X-rays from the corresponding report. We develop and test natural language processing …

… categories were obtained using natural language processing tags, among which 45,808
frontal chest radiographs were labeled as “atelectasis,” and 75,455 chest radiographs labeled “…

… A natural language processing(NLP) algorithm was used to parse the X-ray radiology …
from the same patient; however on the CQ2000 dataset, given that bedside and portable X-rays …

… Portability and Accountability Act (HIPAA). A waiver of consent was granted due to the
retrospective nature … chest X-rays using deep convolutional neural networks: a retrospective study …

… A natural language processing(NLP) algorithm was used to parse the X-ray radiology …
from the same patient; however on the CQ2000 dataset, given that bedside and portable X-rays …

… , including natural language processing, computer vision… mobile number with a 60-s interval
between each image. Once the WhatsApp compressed images were received on the mobile …

… other Natural Language Processing (NLP) tools for … , if we consider both natural language
and clinical coherence, we … classification and reporting in chest X-rays. In Proceedings of the …

… Natural Language Processing and Computer Vision tasks, given the enormous computational
power required to train them. This approach is a two-step process. … RTX 2060 mobile GPU …

… be searched with natural language queries. Associating … x-rays was demonstrated in [3,
45, 29], classifying chest x-ray image views in [63], and segmenting body parts in chest x-rays …