Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions

Disease Named Entity Recognition Using Long-Short Dependencies

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Progress in Neural NLP: Modeling, Learning, and Reasoning

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Challenges of Developing a Natural Language Processing Method with Electronic Health Records to Identify Persons with Chronic Mobility Disability

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Matching patients to clinical trials using semantically enriched document representation

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Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation

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Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study

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Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data

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Recognizing Basal Cell Carcinoma on Smartphone‐Captured Digital Histopathology Images with Deep Neural Network

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Triaging ophthalmology outpatient referrals with machine learning: A pilot study

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The use of natural language processing to identify vaccine‐related anaphylaxis at five health care systems in the Vaccine Safety Datalink

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Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based study

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Development of an automated phenotyping algorithm for hepatorenal syndrome

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Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges

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How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database

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Clinical Natural Language Processing in languages other than English: opportunities and challenges

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Electronic Health Record Interactions through Voice: A Review

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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

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Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review

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Natural language processing to ascertain two key variables from operative reports in ophthalmology

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A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations

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Predictive Modeling of Risk Factors and Complications of Cataract Surgery

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Regular expression-based learning to extract bodyweight values from clinical notes

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Deep learning

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ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus

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A systematic review of speech recognition technology in health care

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Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

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Automatic text classification to support systematic reviews in medicine

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Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

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Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research

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Script Recognition—A Review

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Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms

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Lower visual acuity predicts worse utility values among patients with type 2 diabetes

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