Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: The integration of ambient artificial intelligence (AI) scribes into the OpenNotes environment presents a profound governance crisis in healthcare. While patient access to medical records was designed as a transparency reform, the introduction of machine-generated text introduces novel vulnerabilities regarding record integrity, liability, and patients' trust. OBJECTIVE: This study inv...
PURPOSE: The CDMAM (Contrast Detail Mammography) phantom is widely used in European mammography quality control as a subjective observer-based tool for quantitative evaluation of low-contrast detectability. With the evolution of breast imaging technologies and the increasing adoption of automation, a technically focused synthesis addressing phantom design, analysis methodology, metrological perfor...
Cancer incidence and mortality are rising globally, with their burden falling disproportionately on low-income and middle-income countries. Africa fac...
BACKGROUND: The European Cystic Fibrosis Society (ECFS) develops education resources to support members; however, these are almost exclusively in Engl...
Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...
BACKGROUND: Rapid population aging and a worsening shortage of care workers necessitate the identification of older adults who require proactive inter...
BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis, monitoring, and treatment support. These include...
BACKGROUND: Specialized outpatient palliative care (SOPC) provides home-based care for terminally ill patients and is associated with improved quality...
Synthetic data offer significant potential for cardiology research by enabling data sharing, preserving privacy, and supporting machine learning model...
BACKGROUND AND AIMS: ChatGPT, an AI-powered conversational tool, has shown potential to transform healthcare education. However, its integration poses...
Background and ObjectivesArtificial intelligence (AI) is increasingly used in healthcare decision-making to improve clinical efficiency and patient ri...
OBJECTIVE: Cost analysis of autonomous artificial intelligence (AI)-based screening of diabetic retinopathy (DR) for adults with diabetes at a primary...
The National Institute for Health and Care Excellence (NICE), which advises the National Health Service (NHS) on cost-effective resource allocation, i...
US healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias. Gene...
PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...
BACKGROUND: Bloodstream infections (BSIs) pose a significant global health challenge, particularly in developing countries. Neonates are highly vulner...
OBJECTIVES: Real-world data (RWD) have historically suffered from fragmentation, delayed availability, variable data quality, and limited analytic uti...
As the numbers of older people (65 +) rise globally, the pressure on acute hospitals to provide efficient and effective care while addressing resource...
BACKGROUND: Artificial intelligence (AI) has the potential to improve health among older adults, yet how different stakeholders decide to develop, fin...
BACKGROUND: As digital technologies become increasingly embedded in daily life, their roles in mental health care have expanded and diversified. Digit...