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The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
Background: A large language model (LLM) is a type of artificial intelligence (AI) model that opens up great possibilities...
Machine Learning Models for Parkinson Disease: Systematic Review
Machine Learning Models for Parkinson Disease: Systematic Review
Background: With the increasing availability of data, computing resources, and easier-to-use software libraries, machine l...
Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review
Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review
Background: Ventilator-associated pneumonia (VAP) is a serious complication of mechanical ventilation therapy that affects...
The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review
The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review
Background: Artificial intelligence (AI), more specifically large language models (LLMs), holds significant potential in r...
Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation
Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation
Background: Numerous pressure injury prediction models have been developed using electronic health record data. Yet, hospi...
A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study
A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study
Background: The SARS-CoV-2 pandemic has demonstrated once again that rapid collaborative research is essential for the fut...
CHDmap: One Step Further Toward Integrating Medicine-Based Evidence Into Practice
CHDmap: One Step Further Toward Integrating Medicine-Based Evidence Into Practice
Evidence-based medicine, rooted in randomized controlled trials, offers treatment estimates for the average patient but st...
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with ...
Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study
Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study
Background: Pseudonymization has become a best practice to securely manage the identities of patients and study participan...
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review
The cognitive load theory suggests that completing a task relies on the interplay between sensory input, working memory, a...
Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration
Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration
Background: In the evolving field of health care, multimodal generative artificial intelligence (AI) systems, such as Chat...
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review
Background: The use of social media for disseminating health care information has become increasingly prevalent, making th...
Use of Video in Telephone Triage in Out-of-Hours Primary Care: Register-Based Study
Use of Video in Telephone Triage in Out-of-Hours Primary Care: Register-Based Study
Background: Out-of-hours primary care (OOH-PC) is challenged by high workload, workforce shortage, and long waiting and tr...
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study
Background: With the capability to render pre-diagnosis, consumer wearables have the potential to affect subsequent diagno...
Impact of Translation on Biomedical Information Extraction: Experiment on Real-Life Clinical Notes
Impact of Translation on Biomedical Information Extraction: Experiment on Real-Life Clinical Notes
Background: Biomedical natural language processing tasks are best performed with English models, and translation tools hav...
A Mobile App (Concerto) to Empower Hospitalized Patients in a Swiss University Hospital: Development, Design, and Implementation Report
A Mobile App (Concerto) to Empower Hospitalized Patients in a Swiss University Hospital: Development, Design, and Implementation Report
Background: Patient empowerment can be associated with better health outcomes, especially in the management of chronic dis...
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study
Background: Predicting the bed occupancy rate (BOR) is essential for efficient hospital resource management, long-term bud...
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Background: Generative artificial intelligence tools and applications (GenAI) are being increasingly used in health care. ...