Latest AI and machine learning research in devices and vaccines for healthcare professionals.
In recent years, deep learning-based bearing fault diagnosis models have demonstrated excellent diagnostic performance under ideal experimental conditions. However, in practical industrial scenarios, the domain shift problem caused by data distribution differences severely undermines the generalization capability of such methods, which is particularly pronounced in cross-device bearing fault diagn...
INTRODUCTION: Auditory implantation is a standard rehabilitation strategy for patients with severe hearing loss, and candidacy determination requires a multidisciplinary, multidimensional evaluation. With the increasing clinical use of artificial intelligence-based large language models, ChatGPT has emerged as a potential decision-support tool. This study aimed to evaluate the agreement between mu...
Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...
Emerging artificial intelligence paradigms increasingly rely on hardware that can dynamically adapt to surging computational workloads, yet present me...
Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful eviden...
Accurate color sensing is essential for applications ranging from materials analysis to autonomous vision, yet compact systems that can classify color...
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article d...
We introduce a denoising method for four-dimensional scanning transmission electron microscopy (4D-STEM) for Bragg diffraction analysis that relies on...
Deep learning-based automated analysis offers the potential to streamline workflows, improve reproducibility, and reduce clinician workload. We develo...
BACKGROUND: Natural language processing (NLP) techniques offer promising solutions for semi-automating the time-consuming process of abstract screenin...
Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved sta...
SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in ...
The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acut...
INTRODUCTION: Accurate localization of the mandibular canal in Cone-Beam Computed Tomography (CBCT) images is critical for preventing iatrogenic nerve...
Accurate detection of breast cancer is essential, as it remains a leading cause of cancer-related mortality worldwide. Ultrasound is adopted due to it...
To address the challenges of model instability and limited generalizability in radiomics-based lung cancer prognosis, we developed a robust multiparam...
The ability to predict T-cell receptor (TCR) specificity from sequences could transform immunotherapy, vaccine development, and our understanding of i...
Super-resolution imaging has revolutionized the study of systems ranging from molecular structures to distant galaxies. However, existing super-resolu...
Population aging has made sarcopenia a major public health challenge in geriatric medicine. Current clinical diagnosis relies on large specialized equ...
This study develops a high-resolution anatomical landmark detection method for hip anteroposterior radiographs, designed to enhance the accuracy of fe...