Latest AI and machine learning research in health policy for healthcare professionals.
Evidence synthesis (ES) involves rigorous, reproducible methodologies, which are increasingly being presented as 'Living' systematic reviews. As such, ES are critical to evidence-informed decision-making processes, such as the development, implementation, evaluation and monitoring of health technology assessments, practice guidelines and policies. However, the ES process is time-intensive, typical...
Using national registers, this study investigates regional variations in the number of individuals with and treatment of atopic dermatitis (AD) in Denmark. AD, a prevalent chronic skin disorder, affects up to 20% of children and 3% of adults globally; yet its epidemiology in Denmark remains unclear. A recent study indicated a lifetime prevalence of 21% among school-aged children in Odense, a mediu...
Mental health disorders are some of the greatest contributors to the global disease burden, and healthcare systems are struggling to provide scalable ...
The spread of fake news about healthcare can result in a global health crisis, as it is easy to mislead the public. Detection of fake Arabic news in t...
The paramount challenge in precision oncology lies in further improving quality of life and response rates for individual patients. Efforts toward the...
BACKGROUND: Sexual health concerns following prostate cancer treatment are common yet often insufficiently addressed in clinical practice, particularl...
BACKGROUND: As TikTok (ByteDance) grows as a major platform for health information, the quality and accuracy of Arabic-language cancer prevention cont...
BACKGROUND: Access to provincial health-related data for multi-jurisdictional studies in Canada is restricted by privacy laws. Synthetic data (SD), wh...
PURPOSE: To present an open access platform for CT image quality assessment combined with anthropomorphic phantoms. To promote the accessibility of an...
BACKGROUND: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. OBJECTIVE: To estimate the 12-month...
Radiology is among the most capital-intensive specialities in healthcare, relying on high-cost imaging equipment, complex information technology infra...
PURPOSE: Accurate quantitative survival prediction in advanced non-small cell lung cancer (NSCLC) remains an unmet clinical need. While liquid biopsy ...
Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referencing is a common challenge for clinicians and traine...
BACKGROUND: Arteriovenous (AV) access, an essential component of dialysis treatment, has been implicated in the development of cardiovascular abnormal...
BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in ran...
Artificial intelligence (AI) is increasingly used to support medical interpreting and public health communication, yet current systems introduce serio...
INTRODUCTION: Preschool wheeze and asthma are associated with substantial morbidity and impaired future lung function. Yet, wheeze is unreliably repor...
Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integr...
Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource-limited settings. This narrative review explore...
Artificial intelligence (AI) is increasingly being used in oncology to support early diagnosis and develop personalized treatment plans. However, its ...