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Public Health Genomics and Precision Health Knowledge Base (v7.8)
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Multimodal deep learning for Alzheimer’s disease dementia assessment
S Qiu et al, Nature Comms, June 20, 2022
Watching Parkinson’s disease with wrist-based sensors
JA Diao et al, NPJ Digital Medicine, June 13, 2022
Machine learning paves the way toward the prevention of mental health crises
Nature Medicine, May 18, 2022
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.
Brennan Hannah L et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2022 51(1) 16
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Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning.
Wang Donglin et al. IEEE/ACM transactions on computational biology and bioinformatics 2022 PP
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Differential diagnosis between Parkinson's disease and atypical parkinsonism based on gait and postural instability: Artificial intelligence using an enhanced weight voting ensemble model.
Song Joomee et al. Parkinsonism & related disorders 2022 9832-37
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Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review.
Suri Jasjit S et al. Metabolites 2022 12(4)
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Mobile health technology in atrial fibrillation.
Bonini Niccolò et al. Expert review of medical devices 2022 1-14
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Radiomics Analysis of Brain [F]FDG PET/CT to Predict Alzheimer's Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis.
Alongi Pierpaolo et al. Diagnostics (Basel, Switzerland) 2022 12(4)
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Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.
Li Yu-Yu et al. BMC anesthesiology 2022 22(1) 116
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TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.
Le Celia et al. Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work... 2022 1296978-87
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Machine learning-based identification of risk-factor signatures for undiagnosed atrial fibrillation in primary prevention and post-stroke in clinical practice.
Schnabel Renate B et al. European heart journal. Quality of care & clinical outcomes 2022
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Study on Adherence to Positive Airway Pressure Treatment for Patients with Obstructive Sleep Apnea Using Real-world Big Data in a Telemedicine Management System.
Yi Huijie et al. Methods (San Diego, Calif.) 2022
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Seizure detection with deep neural networks for review of two-channel EEG.
Hartmann Manfred et al. Epilepsia 2022
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Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.
Zhou Dingfu et al. Journal of healthcare engineering 2022 20225222136
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Combining human and machine intelligence for clinical trial eligibility querying.
Fang Yilu et al. Journal of the American Medical Informatics Association : JAMIA 2022
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Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.
Ru Xueying et al. Trials 2022 23(1) 316
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Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care.
Variane Gabriel Fernando Todeschi et al. Frontiers in pediatrics 2022 9755144
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Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals.
Rajput Jaypal Singh et al. International journal of environmental research and public health 2022 19(7)
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Leveraging Continuous Vital Sign Measurements for Real-Time Assessment of Autonomic Nervous System Dysfunction After Brain Injury: A Narrative Review of Current and Future Applications.
Podell Jamie et al. Neurocritical care 2022
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A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data
C Wang et al, NPJ Digital Medicine, April 12, 2022
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson's Disease Classification Using Machine Learning.
Rehman Rana Zia Ur et al. Frontiers in aging neuroscience 2022 14808518
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Exploratory Research on Key Technology of Human-Computer Interactive 2.5-Minute Fast Digital Early Warning for Mild Cognitive Impairment.
Li Nan et al. Computational intelligence and neuroscience 2022 20222495330
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Clinical Efficacy Evaluation of Psychological Nursing Intervention Combined with Drugs Treatment of Children with ADHD under Artificial Intelligence.
Guo Ying et al. Journal of healthcare engineering 2022 20221818693
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A machine-learning based objective measure for ALS disease severity
FG Vieira et al, NPJ Digital Medicine, April 8, 2022
Machine Learning-Based Analysis of Digital Movement Assessment and ExerGame Scores for Parkinson's Disease Severity Estimation.
Mahboobeh Dunia J et al. Frontiers in psychology 2022 13857249
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Machine learning in the detection and management of atrial fibrillation.
Wegner Felix K et al. Clinical research in cardiology : official journal of the German Cardiac Society 2022
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The potential of precision psychiatry: what is in reach?
Kambeitz-Ilankovic Lana et al. The British journal of psychiatry : the journal of mental science 2022 220(4) 175-178
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Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry.
Vodencarevic Asmir et al. Stroke 2022 101161STROKEAHA121036557
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Artificial intelligence for medical image analysis in epilepsy.
Sollee John et al. Epilepsy research 2022 182106861
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Page last reviewed:
Oct 1, 2021
Page last updated:
Jul 02, 2022
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