Deep‐learning artificial intelligence analysis of clinical variables predicts mortality in COVID‐19 patients
JS Zhu, P Ge, C Jiang, Y Zhang, X Li…�- Journal of the�…, 2020 - Wiley Online Library
… None of the comorbidities and symptoms (except diarrhea) were among the top predictors
in our cohort although some comorbidities and symptoms were significantly different between …
in our cohort although some comorbidities and symptoms were significantly different between …
[HTML][HTML] Deep learning for prediction of depressive symptoms in a large textual dataset
… considerably improve chances for curbing symptoms and the underlying disease; … symptoms
is challenging and resource demanding. Current approaches are mainly based on clinical …
is challenging and resource demanding. Current approaches are mainly based on clinical …
[HTML][HTML] Deep learning and its role in COVID-19 medical imaging
SB Desai, A Pareek, MP Lungren�- Intelligence-Based Medicine, 2020 - Elsevier
… deep learning models for COVID-19 imaging as clinical decision support tools could be a
promising approach for leveraging AI capabilities in routine clinical … other clinical symptoms …
promising approach for leveraging AI capabilities in routine clinical … other clinical symptoms …
Quantifying the association between psychotherapy content and clinical outcomes using deep learning
… We believe the application of deep learning to large clinical data sets can overcome this …
patients’ presenting symptoms. The application of deep learning to large clinical data sets can …
patients’ presenting symptoms. The application of deep learning to large clinical data sets can …
Serial quantitative chest CT assessment of COVID-19: a deep learning approach
… CT in different clinical types according to days since initial symptoms at baseline CT. … In this
study, we evaluated the longitudinal changes of pneumonia severity in different clinical types …
study, we evaluated the longitudinal changes of pneumonia severity in different clinical types …
[HTML][HTML] Multimodal deep learning models for early detection of Alzheimer's disease stage
… clinical practice, less than 50% of the AD patients are diagnosed accurately for their pathology
and disease progression based on their clinical symptoms … including clinical symptoms 20 …
and disease progression based on their clinical symptoms … including clinical symptoms 20 …
[HTML][HTML] Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
… We included all research articles in all languages that applied deep learning models for
clinical … Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using …
clinical … Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using …
[HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis
… battle these problems, machine learning approaches have been … With the growing interest
in machine and deep learning … their use of machine learning and deep learning technologies, …
in machine and deep learning … their use of machine learning and deep learning technologies, …
[HTML][HTML] A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
S Wang, B Kang, J Ma, X Zeng, M Xiao, J Guo, M Cai…�- European�…, 2021 - Springer
… following criteria: clinical symptoms, epidemiological history … CT images using a deep
learning method. This is a … Moreover, the high performance of the deep learning model …
learning method. This is a … Moreover, the high performance of the deep learning model …
Deep learning for the prediction of treatment response in depression
L Squarcina, FM Villa, M Nobile, E Grisan…�- Journal of affective�…, 2021 - Elsevier
… These results highlight once more how deep learning could have a profound impact on
clinical practice and on personalized medicine. However, it has to be noted that this is a …
clinical practice and on personalized medicine. However, it has to be noted that this is a …
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