Current Issue

Volume 53, Number 3 March 2024

A systematic review identified 26 distinct automated machine learning (autoML) platforms that have been trialled and/or applied in a clinical context.

The performance of autoML compares well to bespoke computational and clinical benchmarks across clinical tasks ranging from diagnosis to prognostication, with exemplar use cases including identifying pathology on common imaging modalities.

Featured

Health district at Queenstown: Catalyst for translational research

Ageing societies dominating global demographics is not new. However, the pace of global population ageing is causing disquietude. In 2017, the global population over age 60 years exceeded those below 5 years for the first time in history, and...

VOWELS: A communication framework for disclosing medical errors in medical oncology and palliative care

Dear Editor, Recognising the impact of medical errors on patients and the doctor-patient relationship has underscored the need for better communication.1,2 For the most part, these efforts are informed by Chafe et al.’s 6 steps that entail: (1) the identification...

Singapore tuberculosis (TB) clinical management guidelines 2024: A modified Delphi adaptation of international guidelines for drug-susceptible TB infection and pulmonary disease

Tuberculosis (TB) is an infectious disease caused by the Mycobacterium tuberculosis complex. For decades, it was the leading cause of death worldwide from a single infectious disease before being displaced by COVID-19 during the pandemic years.1 TB is endemic in...

Clinical performance of automated machine learning: A systematic review

In medicine, machine learning (ML) has been applied in a wide variety of contexts ranging from administration to clinical decision support, driven by greater availability of healthcare data and technological development.1-5 Automated ML (autoML) enables individuals without extensive computational...

Bridging expertise with machine learning and automated machine learning in clinical medicine

In this issue of the Annals, Thirunavukarasu et al.'s systematic review on the clinical performance of automated machine learning (autoML) highlights its extensive applicability across 22 clinical specialties, showcasing its potential to redefine healthcare by making artificial intelligence (AI)...

The impact of media reporting of suicides on subsequent suicides in Asia: A systematic review

Globally, around 703,000 people die by suicide annually, 77% of which occur in low- to middle-income countries.1 In 2019, suicide was the 4th leading cause of death among younger adults (15–29 years).1 Approximately 60% of the global suicide rates...

Asian media reporting on suicide: Concerning trends

Asharani et al. present an enlightening study of media influences on suicidality and suicides from multinational data, all within Asia.1 This is important, as knowledge based on media and suicide has been dominated by Western cultures and English and...

Mitigating adverse social determinants of health in the vulnerable population: Insights from a home visitation programme

Strong evidence consistently links low income to Adverse Childhood Experiences (ACEs) and children’s long-term health, developmental, educational and social outcomes.1,2 Poverty increases parenting stress, and this is especially important in early childhood when the home environment and parent-child bond are...

Health practices, behaviours and quality of life of low-income preschoolers: A community-based cross-sectional comparison study in Singapore

Poverty is a serious concern that has been found to bring about various adverse psychological, social and developmental outcomes.1 Living in poverty as a child can affect an individual’s life well into adulthood2 due to risks including poor nutrition,...

Validating two international warfarin pharmacogenetic dosing algorithms for estimating the maintenance dose for patients in Singapore

Dear Editor, Predicting optimal warfarin dosing is difficult due to complex pharmacodynamics and pharmacokinetics, narrow therapeutic index and susceptibility to many factors.1 Genetic variations of the CYP2C9 and VKORC1 enzymes, occurring in different frequencies in different populations, play a significant...

HLA-B*5801 testing: Is it time to consider mandatory testing prior to prescribing allopurinol in Singapore?

Dear Editor, Stevens-Johnsons Syndrome (SJS) and Toxic Epidermal Necrolysis (TEN) are severe, life- threatening mucocutaneous reactions that most commonly occur as drug-related reactions.1 In recent years, several risk factors for the develop- ment of SJS/TEN, such as genetic factors, have...

Patient’s degree of adherence, challenges & preferences towards medicine taking (PACT) in Singapore

Dear Editor, Medication nonadherence is a prevalent public health problem that compromises patients’ health outcomes and increases healthcare expenditures.1 Studies in Singapore showed that 25.7%–38.9% of patients are nonadherent.2,3 Studies investigating the association between patients’ reasons for nonadherence and their...

Call For Papers


The Annals is the official journal of the Academy of Medicine, Singapore. Established in 1972, Annals is the leading medical journal in Singapore which aims to publish novel findings from clinical research as well as medical practices that can benefit the medical community.

Published monthly, online, open-access and peer-reviewed, Annals is indexed in Science Citation Index Expanded, Current Contents/Clinical Medicine and SCOPUS. The journal’s 2022 Impact Factor is 5.2. It is ranked in the first quartile in the competitive category of Medicine (General and Internal) and second among medical journals in Asia. As we are transitioning to an Online Only journal, there may be a delay in PubMed indexing for our content.

The rapidly ageing population and enlarging burden of chronic diseases require a proportionate emphasis on health promotion and disease prevention. A health system that is more data-driven and patient-centric, which leverages the innovative use of technology and digital solutions, will be areas warranting research attention and coverage. The Annals invites submission of manuscripts that advance the scientific basis of clinical knowledge, and the practice of medicine in Singapore and internationally. We welcome submissions that address challenges in the management of chronic diseases (e.g. cancer, cardiovascular diseases, ageing, diabetes mellitus and neurological diseases), and use of technology and digital medicine to improve patient care.

Papers of sufficient merits will be published. Authors will also be notified if their manuscripts are deemed not suitable for publication.

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