Health Policy

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning.

This study explores the factors influencing the availability of assistive technology for people with...

Towards Semantic Interoperability Health Standardization Recommendation Tool.

The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to st...

Bridging AI and Medical Expertise: ChatGPT's Success on the Medical Specialization Residency Admission Exam in Spain.

The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potentia...

Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.

This study explores the utility of Large Language Models (LLMs) to support finding rare patient reco...

An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface we...

Pros, Cons and Limits of AI in Public Health.

This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users.

BACKGROUND: Supervised machine learning is increasingly being used to estimate clinical predictive m...

Quality prediction of seabream Sparus aurata by deep learning algorithms and explainable artificial intelligence.

In this study, Convolutional Neural Network (CNN), DenseNet121, Inception V3 and ResNet50 machine le...

An AI-driven strategy for active compounds discovery and non-destructive quality control in traditional Chinese medicine: A case of Xuefu Zhuyu Oral Liquid.

The modernization and globalization of traditional Chinese medicine (TCM) face challenges such as un...

Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care.

Artificial intelligence (AI) and assistive robotics can transform older-person care by offering new,...

Exploring the Opportunities and Challenges of Healthcare Innovation in UK Higher Education: A Narrative Review.

: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...

LLMonFHIR: A Physician-Validated, Large Language Model-Based Mobile Application for Querying Patient Electronic Health Data.

BACKGROUND: To improve healthcare quality and empower patients, federal legislation requires nationw...

An analytic research and review of the literature on practice of artificial intelligence in healthcare.

Artificial intelligence (AI) has transformed healthcare, particularly in robot-assisted surgery, reh...

Amazon's climate crossroads: analyzing air pollution and health impacts under machine learning-based temperature increase scenarios in Northern Mato Grosso, Brazil.

Air pollution has long been a public health concern in South America, now increasingly linked to cli...

Engineering Conjugated Bridges in TPE-BT-Based Donor-Acceptor Molecules for Optimized Resistive Random Access Memory.

Four donor-acceptor (D-A) type organic small molecules, namely, 4,7-bis(4-(1,2,2-triphenylvinyl)phen...

Introducing a Quality-Driven Approach for Federated Learning.

The advancement of pervasive systems has made distributed real-world data across multiple devices in...

Human Rights and Artificial Intelligence in Healthcare-Related Settings: A Grammar of Human Rights Approach.

This article examines the expanding role of Artificial Intelligence (AI) in healthcare and associate...

Innovative fast and low-cost method for the detection of living bacteria based on trajectory.

Detection of pathogens is a major concern in many fields like medicine, pharmaceuticals, or agri-foo...

AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing.

Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) usin...

Publisher Correction: A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud.

Predicting health literacy in Brazil: a machine learning approach.

Health literacy is essential for promoting well-being and the ability to make informed decisions. We...