Health Policy

Pitfalls of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with chal...

Integrating Chatbot Functionality in a Patient Summary Based Healthcare System.

The integration of chatbots in healthcare has gained attention due to their potential to enhance pat...

Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety.

Ensuring patient safety in healthcare involves training professionals and implementing clinical deci...

Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care.

There is no study that comprehensively evaluates data on the readability and quality of "palliative ...

A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning models.

Watershed water quality modeling to predict changing water quality is an essential tool for devising...

The potential impact of artificial intelligence on emergency department overcrowding and access block.

Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models.

OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for effi...

Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.

OBJECTIVE: To address challenges in large-scale electronic health record (EHR) data exchange, we sou...

Nurses' Roles in Artificial Intelligence Implementation: Results from a Mixed-Methods Study.

We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opport...

AI and Big Data: Current and Future Nursing Practitioners' Views on Future of Healthcare Education Provision.

Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or...

Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions.

Machine- and patient-specific quality assurance (QA) is essential to ensure the safety and accuracy ...

Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.

This research aimed to examine the effectiveness of artificial intelligence applications in asthma a...

[Challenges in application of artificial intelligence in healthcare field and response strategies].

The rapid development of artificial intelligence in the field of healthcare has greatly improved dia...

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study ...

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice a...

Cost-Saving Data-Driven Diabetic Retinopathy Prediction via a Sampling-Empowered Incremental Learning Approach.

Diabetic retinopathy (DR) is a serious complication of diabetes that can lead to vision impairment o...

Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation.

Blindness and other eye diseases are a global health concern, particularly in low- and middle-income...

Predicting Sleep Quality via Unsupervised Learning of Cardiac Activity.

While highly important for a person's mood, productivity, and physical performance, perceived sleep ...

Embryonic Quality Assessment using Advanced Deep Learning Architectures utilizing Microscopic Images of Blastocysts.

The accurate evaluation of embryonic quality which is a key aspect in Assisted Reproductive Technolo...

Fuzzy-Label Weighted Deep Learning Classification for CT Image Quality Evaluation.

This paper proposes a fuzzy-label weighted deep learning-based image classification approach for ass...

Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units.

Generally, inertial measurement unit can measure the acceleration and angular velocity of an object ...