Volume 54, Number 7
A roundtable discussion developed a structured set of statements for regulation, implementation and evaluation of AI models in healthcare.
Illustration by Maria De-Castro
Editorial
Caring for the sexually assaulted child: Follow-up matters
In 2024, the United Nations Children's Fund (UNICEF) reported that 1 in 8 women (370 million) experienced sexual assault before the age of 18 years, and 8% of these are from East and Southeast Asia.1 In Singapore, 38.6% of 11,868 sexual assault cases from 2018 to 2022 involved children...
Original Article
Diagnostic patterns and predictors of cognitive outcomes in autistic children in Singapore
Autism spectrum disorder (ASD or autism) is a neurodevelopmental condition characterised by differences in social communication and social interaction, with restricted, repetitive behaviours (RRBs).1 The prevalence of autism in Singapore is estimated to be 1 in 100,2 which is similar to that quoted by the World Health Organization based...
Original Article
Post-exposure prophylaxis and follow-up in children and young persons presenting with sexual assault
Sexual assault (SA) in the paediatric population is an under-recognised but significant public health burden.1,2 Effective management requires addressing the psychosocial issues involved and mitigating the risks of transmission of sexually transmitted infections (STIs) such as human immunodeficiency virus (HIV) and hepatitis B virus (HBV) with the appropriate use...
Original Article
Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory condition defined by persistent respiratory symptoms and airflow limitation.1 It is primarily caused by pathological changes in the airways and alveoli due to prolonged exposure to noxious gases and particles, such as cigarette smoke and particulate matter from air pollution.1,2...
Original Article
Regulating, implementing and evaluating AI in Singapore healthcare: AI governance roundtable’s view
Artificial Intelligence (AI) can transform healthcare by enhancing operational efficiency, improving diagnostics and prognostics, personalising and guiding treatment.1 These advances promise better patient outcomes and more effective resource allocation. However, implementing AI into healthcare also comes with significant risks, including algorithm bias,2 concerns on patient privacy and autonomy,3 cognitive...