Latest AI and machine learning research in work force for healthcare professionals.
Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...
In many medical and pharmaceutical processes, continuous hygiene monitoring is crucial, often involv...
It may only be a handful of years before fully autonomous neurosurgical robots (ANRs) are pushed int...
With the advancement of modern medicine and the development of technologies such as MRI, CT, and c...
Current self-correction approaches in text-to-SQL face two critical limitations: 1) Conventional s...
Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. Ho...
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare ...
While pre-trained multimodal representations (e.g., CLIP) have shown impressive capabilities, they...
Recent advances in diffusion models have led to impressive image generation capabilities, but alig...
Perceptual voice quality assessment is essential for diagnosing and monitoring voice disorders by ...
Classifier-Free Guidance (CFG) is a widely used technique for improving conditional diffusion mode...
Temporal Logic (TL), especially Signal Temporal Logic (STL), enables precise formal specification,...
The quality of training data is critical to the performance of machine learning applications in do...
Recent advances in video generation models have sparked interest in world models capable of simula...
Natural images exhibit label diversity (clean vs. noisy) in noisy-labeled image classification and...
Nanomaterial research is becoming a vital area for energy, medicine, and materials science, and ac...
As the marginal cost of scaling computation (data and parameters) during model pre-training contin...
We present an efficient and reliable large-scale non-adiabatic dynamics simulation method based on m...
Algorithmic tools are increasingly used in hiring to improve fairness and diversity, often by enfo...
Diffusion distillation has emerged as a promising strategy for accelerating text-to-image (T2I) di...
Engaging in research during medical training is crucial for fostering critical thinking, enhancing c...