Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Simulated medical scenarios are useful for evaluating and developing clinical competencies but sched...
Decoding neural states from pediatric EEG in naturalistic settings remains challenging due to signal...
Achieving high retention of people living with HIV (PLHIV) in care remains a challenge in Uganda, de...
Clinical decision-making generates vast unstructured data that remain underexploited for trial recru...
Surgery is inherently associated with complications, making early detection the cornerstone of timel...
Threatened miscarriage represents one of the most prevalent obstetric emergencies globally. Neverthe...
Early identification of dementia risk is essential for preventive care and timely enrolment into dis...
Primary care is facing multiple crises, including an increase in health misinformation. Digital heal...
Deploying large language models (LLMs) in clinical settings is limited by security, reliability, lat...
To develop a simple risk prediction model for cognitive decline in a Chinese older adult cohort, and...
This study aimed to design and evaluate an explainable machine learning (ML) framework that integrat...
The dispersed node locations and complex topologies of edge networks, combined with intricate dyna...
Recent generative models demonstrate impressive performance on synthesizing photographic images, w...
This paper proposes a neural network based on the Markov probability transition matrix to predict th...
INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction an...
Air traffic congestion-induced flight accidents pose a significant challenge in the aviation sector....
Effective evaluation and governance of predictive models used in health care, particularly those dri...
Drone fleets with onboard cameras coupled with computer vision and DNN inferencing models can supp...
Scaling by training on large datasets has been shown to enhance the quality and fidelity of image ...
Calibration to experimental data is vital when developing subject-specific models towards developi...
The evolution of colour vision is captivating, as it reveals the adaptive strategies of extinct sp...