Health Policy

Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction.

BACKGROUND: Whether deep learning-based CT reconstruction could improve lesion conspicuity on abdomi...

[Wearable devices: Perspectives on assessing and monitoring human physiological status].

This review article aims to explore the major challenges that the healthcare system is currently fac...

Ethical implications of AI and robotics in healthcare: A review.

Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical inn...

Quality standards for artificial intelligence-based studies and clinical trials.

Five critical quality criteria for artificial intelligence-based prediction models.

To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the ca...

AI Chatbots Could Weaken National Security: For users with access to sensitive information, companion apps present a security risk.

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

What Legal Frameworks Should Govern Use of Genetic Test Results by Private Health Insurers in New Zealand?

The rising cost of private health insurance and constraints within public health systems are global ...

New Horizons in artificial intelligence in the healthcare of older people.

Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which ...

Assessing protein model quality based on deep graph coupled networks using protein language model.

Model quality evaluation is a crucial part of protein structural biology. How to distinguish high-qu...

[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...