Latest AI and machine learning research in health policy for healthcare professionals.
The development of artificial intelligence (AI) applications in healthcare is often positioned as a solution to the greatest challenges facing global health. Advocates propose that AI can bridge gaps in care delivery and access, improving healthcare quality and reducing inequity, including in resource-constrained settings. A broad base of critical scholarship has highlighted important issues with ...
The gastrointestinal (GI) system is fundamental to human health, supporting digestion, nutrient absorption, and waste elimination. Disruptions in GI function, such as Gastroesophageal Reflux Disease (GERD) and gastrointestinal polyps, can lead to significant health complications if not diagnosed and managed early. However, manual interpretation of endoscopic images is time-consuming and prone to h...
A comprehensive dataset on FT-NIR spectra for green and roasted specialty coffee is critically needed to advance predictive models for sensory quality...
Electronic incident reporting is a key quality and a safety process for healthcare organizations that assists in evaluating performance and informing ...
In the 21st century, health care has been going through a paradigm shift called digital health. Due to major advances and breakthroughs in information...
Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise both nationally and globally, posing significant h...
The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health economics and outcomes research (HEOR) by streamlin...
PURPOSE: Mechanical thrombectomy (MT) is the gold standard for treating acute ischemic stroke. However, challenges such as operator radiation exposure...
Ophthalmology, like all medical specialities, is continuously evolving to adapt to emerging challenges and advancements. The evidence-based medical pr...
Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges of the modern world. Their management requires co...
Air quality is crucial for both public health and environmental sustainability. An efficient and cost-effective model is essential for accurate air qu...
The field of artificial intelligence (AI) is expanding quickly. To mimic the structure and biological evolution of the human brain, AI was developed t...
The healthcare sector is undergoing a profound transformation driven by the rapid rise in healthcare applications (mHealth apps), which are becoming i...
In today's digital era, hospital websites serve as crucial informational resources, providing patients with easy access to medical services. Ensuring ...
Heart disease is becoming more and more common in modern society because of factors like stress, inadequate diets, etc. Early identification of heart ...
Digital medicine and smart healthcare will not be realised without the cognizant participation of clinicians. Artificial intelligence (AI) today prima...
Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a methodological framework for optimizing the implemen...
Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical note...
OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with Black patients being diagnosed at twice the rate o...
The rapid evolution of large language models (LLMs) and machine learning (ML) presents both significant opportunities and challenges for market access...