Health Policy

[Application of Medical Record Quality Control System Based on Artificial Intelligence].

OBJECTIVE: In this study, we used artificial intelligence (AI) technology to explore for automated m...

A water quality prediction model based on signal decomposition and ensemble deep learning techniques.

Accurate water quality predictions are critical for water resource protection, and dissolved oxygen ...

ChatGPT and mental healthcare: balancing benefits with risks of harms.

Against the global need for increased access to mental services, health organisations are looking to...

Explanation Relevance Index - A New Way of Assessing the Quality of Explanations Based on Learned Features.

The XAI methods began to emerge as a response for the black-box methods used to make decisions that ...

Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics.

As social media use has grown in recent years, ease of access and rapid data collection through onli...

Improving the quality of hospital sterilization process using failure modes and effects analysis, fuzzy logic, and machine learning: experience in tertiary dental centre.

Activities practiced in the hospital generate several types of risks. Therefore, performing the risk...

Discard or not discard, that is the question: an international survey across 117 embryologists on the clinical management of borderline quality blastocysts.

STUDY QUESTION: Do embryologists from different European countries agree on embryo disposition decis...

Assessment of Biomedical Waste Generation in Dialysis Units: A Prospective Observational Study-Is it Time for "Green Dialysis"?

: Chronic kidney disease and as a consequence end-stage kidney disease (EKSD) is increasing globally...

Comparison of wound surface area measurements obtained using clinically validated artificial intelligence-based technology versus manual methods and the effect of measurement method on debridement code reimbursement cost.

BACKGROUND: Evidence shows that ongoing accurate wound assessments using valid and reliable measurem...

Deep learning based an effective hybrid model for water quality assessment.

Water, which is very important for life and civilizations on Earth, has been a source of life for al...

Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing...

The implementation of artificial intelligence to the low-cost metaphase finder.

Biological dosimetry is used to estimate one's dose by biological phenomena. The most popular and 'g...

AI in Medicine-JAMA's Focus on Clinical Outcomes, Patient-Centered Care, Quality, and Equity.

Multi-Objective Optimization-Based Assist-as-Needed Controller for Improved Quality of Assistance in Rehabilitation Robotics.

Assist-as-needed (AAN) is a paradigm in rehabilitation robotics based on the fact that more active p...

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

Social determinants of health (SDoH) are known to impact the health and well-being of patients. How...

Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool.

PURPOSE: To evaluate the diagnostic performance of a natural language processing (NLP) model in dete...

The Potential for Deep Learning Reconstruction to Improve the Quality of T2-weighted Prostate MRI.

Artificial intelligence and digital health in global eye health: opportunities and challenges.

Global eye health is defined as the degree to which vision, ocular health, and function are maximise...

RE: Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift.

Elucidation of the mechanism by which the internal structure of food controls the quality.

Several of the existing food manufacturing processes are based on empirical knowledge, and not many ...

Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism.

Social interaction quality ratings derived from short natural conversations can differentiate childr...