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Topic Review
Health Transport Demand
Efficient planning and management of health transport services are crucial for improving accessibility and enhancing the quality of healthcare. Specifically, health transport services data from Asturias, spanning a seven-year period, are analyzed with the aim of developing accurate predictive models.
  • 379
  • 31 Jan 2024
Topic Review
AI vs. Human: Technology's Role in Retinal Diagnosis
AI vs. Human Expertise: The Role of Technology in Retinal Disease Diagnosis" explores the transformative impact of Artificial Intelligence (AI) on diagnosing retinal diseases. It highlights the remarkable accuracy and efficiency AI brings to the field, particularly in detecting conditions like diabetic retinopathy and age-related macular degeneration. However, the article also underscores the limitations of AI, such as its reliance on data patterns and lack of contextual understanding, emphasizing that human expertise remains crucial in complex cases. The piece advocates for a synergistic approach, where AI complements, rather than replaces, human clinicians, combining technological precision with the nuanced judgment and empathy of healthcare professionals. Ethical considerations and the need for clear regulations in AI’s integration into healthcare are also discussed.
  • 277
  • 21 Oct 2024
Topic Review
The Mathematics-Related Specificity of Problem-Gambling Awareness
Gambling addiction is special type of addiction not only through the object of the addiction, the psychobiological constitution of the individual, and the pattern of the development of a pathological behavior and condition, but also through the methods available for preventing and fighting against it and their effectiveness. This latter specificity involves the mathematics dimension of games and gambling and should be reflected in warning messages and counselling content.
  • 17
  • 26 Nov 2025
Topic Review
Preventive Health Care Neglect: Motives and Underlying Mechanisms
Understanding why individuals do not engage in recommended preventive or routine health behaviors is essential for designing effective interventions and improving public‐health programs. Drawing on behavioral‐psychology, decision‐science, and social‐ecological frameworks, this review synthesizes major findings on motives for health‐neglect. Key theoretical frameworks (the Health Belief Model, Theory of Planned Behavior, COM‑B) provide structure, while empirical evidence is drawn from screening uptake, blood‐testing adherence, dental‐care utilization, and broader preventive behaviors. Intervention evidence is reviewed, showing that multi‐component, theory‑based interventions are typically more effective than single‐focus approaches. The principal conclusion is that motive‐structures for not caring for health are multi‐faceted and interactive: cognitive, motivational, affective, and structural factors combine; hence effective intervention must address multiple levels simultaneously. Limitations in the literature (heterogeneity, intention‑behavior gap, equity issues) and interdisciplinary collaboration, as well as future research directions are discussed.
  • 10
  • 09 Dec 2025
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