Current Issue

Volume 54, Number 7
July 2025

A roundtable discussion developed a structured set of statements for regulation, implementation and evaluation of AI models in healthcare.

Illustration by Maria De-Castro

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...

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...

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...

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...

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...

MOST CITED ARTICLES

Quality of life of family caregivers of children and young adults...

Trends in fluid overload-related hospitalisations among patients with diabetes mellitus: The...

Prevalence and risk factors of depression and anxiety in primary care

MOST VIEWED ARTICLES