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Patient Journey Map to Improve the Home Isolation Experience of Persons with Mild COVID-19 Symptoms: Design Research for Service Touchpoints of Artificial Intelligence in eHealth.
In JMIR medical informatics ; h5-index 23.0
He Qian, Du Fei, Simonse Lianne W L
Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study.
In Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Franck Caro, Zhang Guozhi, Deak Paul, Zanca Federica
Chest, Computed tomography, Contrast-detail evaluation, Deep learning image reconstruction, Dosimetry, Image quality, Iterative reconstruction
Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests.
In Journal of affective disorders ; h5-index 79.0
Sawalha Jeffrey, Cao Liping, Chen Jianshan, Selvitella Alessandro, Liu Yang, Yang Chanjuan, Li Xuan, Zhang Xiaofei, Sun Jiaqi, Zhang Yamin, Zhao Liansheng, Cui Liqian, Zhang Yizhi, Sui Jie, Greiner Russell, Li Xin-Min, Greenshaw Andrew, Li Tao, Cao Bo
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images.
In Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Iqbal Imran, Younus Muhammad, Walayat Khuram, Kakar Mohib Ullah, Ma Jinwen
Artificial intelligence, Computer vision, Convolutional neural network, Deep learning, Dermoscopy, Image processing, Melanomas, Nevi, Pattern recognition, Skin cancer screening, Skin lesion classification
Predicting hearing recovery following treatment of idiopathic sudden sensorineural hearing loss with machine learning models.
In American journal of otolaryngology ; h5-index 23.0
MATERIALS AND METHODS :
Uhm Taewoong, Lee Jae Eun, Yi Seongbaek, Choi Sung Won, Oh Se Joon, Kong Soo Keun, Lee Il Woo, Lee Hyun Min
Hearing loss, Machine learning, Outcome prediction, Prognosis, Sudden
Prediction of suicide attempts in a prospective cohort study with a nationally representative sample of the US population.
In Psychological medicine ; h5-index 82.0
Machado Cristiane Dos Santos, Ballester Pedro L, Cao Bo, Mwangi Benson, Caldieraro Marco Antonio, Kapczinski Flávio, Passos Ives Cavalcante
NESARC, Suicide, depression, machine learning, prediction