Artificial Intelligence Medical Compendium

McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The influence of sport representation and attitudes toward strength training on neuromuscular performance profiles in university athletes: part I female athl... read more 

BACKGROUND AND OBJECTIVES: Deep brain stimulation (DBS) is an effective treatment of essential tremor, but the optimal target and how to reach it with the best accuracy remain controversial. The OptimDBS algorithm is based on Kernel Ridge Regression ... read more 

Detection of refractive-index variations is fundamental for the development of next-generation optical sensing platforms capable of supporting future biomedical and chemical monitoring applications. Surface plasmon resonance (SPR) biosensing enables ... read more 

OBJECTIVES: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) models for predicting disease severity, which is important for clinical decision-making and equitable resource allocation. While achieving high predictive... read more 

BACKGROUND: Phenol is a key chemical intermediate and a common, toxic pollutant found in industrial wastewater from processes like coking and oil refining. Its leakage and discharge lead to significant contamination, posing a dual threat to ecologica... read more 

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Currently, most existing datasets predominantly focus on object classification based on appearance, while datasets specifically designed for trajectory classification of low-altitude flying micro-targets (11pt × 11pt or smaller) remain scarce. There ... read more 

Against the backdrop of simultaneous national agendas for green transition and healthy ageing, the nutritional behaviour of older adults is being reshaped by emerging forms of institutional governance. Drawing on four waves of the Chinese Longitudina... read more 

INTRODUCTION: Artificial Intelligence (AI) tools may deliver significant improvements in healthcare and Learning Health Systems are well positioned to benefit. However, during the adoption of AI, Learning Health Systems should consider the potential ... read more 

Early detection of uterine diseases is critically important for women's reproductive health. Here, we propose a novel and robust serum-based SERS analysis platform that integrates machine learning algorithms. This is the first application of it in th... read more