Health Policy

AI chatbots in pet health care: Opportunities and challenges for owners.

The integration of artificial intelligence (AI) into health care has seen remarkable advancements, with applications extending to animal health. This article explores the potential benefits and challenges associated with employing AI chatbots as tools for pet health care. Focusing on ChatGPT, a prominent language model, the authors elucidate its capabilities and its potential impact on pet owners'...

Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.

OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified Medicare utilization of and spending on FFRCT from 2018 through 2022 and characterized adopting hospitals, clinicians, and patients.

[The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence].

As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing seve...

Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection.

OBJECTIVE: To develop and evaluate a novel feature selection technique, using photoplethysmography (PPG) sensors, for enhancing the performance of dee...

A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review.

Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs) promises landmark improvement in patient care. De...

A Primer on Artificial Intelligence for Healthcare Administrators.

Healthcare administrators steer their organizations' strategic direction with an emphasis on quality, value and efficiency, aiming to improve patient ...

Lack of Data Access, but Not Availability, Hinders AI Training for High-Risk Conditions in Ontario.

Advanced disease prediction is an important step toward achieving a proactive healthcare system. New technologies such as artificial intelligence are ...

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particular...

Beyond the aspirational: creating the future of health care in Australia.

The context of health care in Australia is shifting very rapidly; more chronic diseases, budgetary stress and the constant threat of the next pandemic...

Artificial Intelligence: A Mighty Adjunct for Caries Detection.

Articifial intelligence (AI) is impacting many aspects of people's lives today. In fields such as finance, manufacturing, agriculture, insurance, educ...

Deploying artificial intelligence software in an NHS trust: a how-to guide for clinicians.

Over the past 10 years, artificial intelligence (AI) has become one of the fastest-growing sectors in healthcare. There are now numerous new technolog...

AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.

The AlphaFold Database Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) has significantly impacted structural biology by amassin...

The Use of Large Language Models to Accelerate Literature Review Towards Digital Health Equity and Inclusiveness.

Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented opportunities to streamline processes, enhance patient ...

Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques.

This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to pr...

Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

Health-related social media data generated by patients and the public provide valuable insights into patient experiences and opinions toward health is...

Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing r...

Pentagon Found Daily, Metagenomic Detection of Novel Bioaerosol Threats to Be Cost-Prohibitive: Can Virtualization and AI Make It Cost-Effective?

In 2022, the Pentagon Force Protection Agency found threat agnostic detection of novel bioaerosol threats to be "not feasible for daily operations" du...

Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.

Purpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert qual...

[Not Available].

With the emergence of innovations and technological advancements – exemplified by telemedicine and more recently by the extremely rapid developm...

The Growing Impact of Natural Language Processing in Healthcare and Public Health.

Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on understanding and generating human language. NLP tec...