Tech Xplore on MSN

New training method helps AI models handle messy, varied medical image data

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...
EurekAlert!

Beyond tumor control: A protocol for multidimensional assessment of long-term effects of intensity-modulated radiotherapy on vision, patient well-being, and morbidity in head ...

Also, at the outpatient department records of the National Radiotherapy Oncology and Nuclear Medicine Centre (NRONMC), KBTH, the total number of new head and neck cancer cases in 2024 was 292, 11.1% ...
BMJ Open

Epidemiological assessment of mental health screening protocols for high school athlete participation in the USA, 2021

Objectives To examine state-level variation in mental health screening practices for high school athletes in the USA and ...
BMJ Open

Maximising the potential of the National Compulsory Service Programme in rural China: a mixed methods study

Objectives To alleviate the shortage of qualified physicians in rural areas, since 2010, the Chinese government has launched a National Compulsory Service Programme (NCSP) to enrol medical students ...
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
IEEE

Improved General Nonlinear Model of Batteries Using a Physics-Informed Genetic Algorithm

Abstract: The state of charge (SOC) is a critical metric for effective operation and assessment of electric vehicle batteries. Various models are reported for estimating the SOC, among which the ...