AI Medical Compendium Journal:
Annals of the Academy of Medicine, Singapore

Showing 1 to 10 of 15 articles

Machine learning to risk stratify chest pain patients with non-diagnostic electrocardiogram in an Asian emergency department.

Annals of the Academy of Medicine, Singapore
INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers a...

Clinical performance of automated machine learning: A systematic review.

Annals of the Academy of Medicine, Singapore
INTRODUCTION: Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evalu...

Artificial intelligence in medicine: Ethical, social and legal perspectives.

Annals of the Academy of Medicine, Singapore
Artificial intelligence (AI) has permeated into every aspect of medicine and promises to provide accurate diagnosis, better management decision and improved outcome for patients and healthcare system. However, ethical, social and legal issues need to...

Leveraging ChatGPT to aid patient education on coronary angiogram.

Annals of the Academy of Medicine, Singapore
Natural-language artificial intelligence (AI) is a promising technological advancement poised to revolutionise the delivery of healthcare. We aim to explore the quality of ChatGPT in providing medical information regarding a common cardiology procedu...

Clinical outcomes of hospitalised individuals with spin-induced exertional rhabdomyolysis.

Annals of the Academy of Medicine, Singapore
INTRODUCTION: Exertional rhabdomyolysis (ER) is caused by myocyte breakdown after strenuous physical activity. In recent years, the incidence of spin-induced ER (SER) has been increasing. We describe the clinical characteristics, management and outco...

Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside.

Annals of the Academy of Medicine, Singapore
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such as machine learning in image analysis, natural language processing in medical chatbots and electronic medical record extraction have the potential to i...

Through the eyes into the brain, using artificial intelligence.

Annals of the Academy of Medicine, Singapore
INTRODUCTION: Detection of neurological conditions is of high importance in the current context of increasingly ageing populations. Imaging of the retina and the optic nerve head represents a unique opportunity to detect brain diseases, but requires ...