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Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Finally, in addition to HAN and GPT-2, we implemented 2 baselines for performance comparison, one is a BERT-based model proposed by Devlin et al [29] and the other is based on the bidirectional gated recurrent unit along with the BERT-based word representation architecture proposed by Chen et al [30]. To integrate the developed models within the workflow of the CSS at KMUCHH, a user interface as illustrated in Figure 3 was implemented [31]. Various components can be identified within this interface.

Hong-Jie Dai, Chen-Kai Wang, Chien-Chang Chen, Chong-Sin Liou, An-Tai Lu, Chia-Hsin Lai, Bo-Tsz Shain, Cheng-Rong Ke, William Yu Chung Wang, Tatheer Hussain Mir, Mutiara Simanjuntak, Hao-Yun Kao, Ming-Ju Tsai, Vincent S Tseng

J Med Internet Res 2024;26:e58278

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Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study

Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study

The study was approved by the institutional review board of Chang Gung Memorial Hospital. Volunteers with eyelid defects or deformities, history of corneal injury, enophthalmos, and anophthalmia were excluded. A 20×20-mm scale was placed on the nasal dorsum as a reference. The scale was only necessary for gold-standard measurements and was not required for deep learning model training or for determining the accuracy of the model.

Hung-Chang Chen, Shin-Shi Tzeng, Yen-Chang Hsiao, Ruei-Feng Chen, Erh-Chien Hung, Oscar K Lee

JMIR Mhealth Uhealth 2021;9(10):e32444

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