In this rapidly growing digital world, groundbreaking research published in the International Journal of Scientific Research ...

The current imaging speed of ULM has limited its practical application as a diagnostic tool in the medical field ... will be able to use this technology. I think deep learning-based computational ...

Moreover, a study focused on developing an automated deep learning platform for diagnosing cataracts using slit-lamp and ... deep learning algorithms in medical imaging[3]. The integration of ...

Deep learning models, such as those used in medical imaging to help detect disease ... "Our method enables adaptation to deep ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in ...

In digital healthcare, AI drives innovations and improves patient outcomes by making processes more efficient.

For example, algorithms based on deep learning can determine the location ... 2024 — A new study highlights a hidden challenge of using AI in medical imaging research -- the phenomenon of ...

Histopathological evaluation of tumor specimens has long been essential in diagnosing breast cancer and guiding clinical ...

A research team at POSTECH has developed a technology that surpasses the constraints of traditional imaging methods, providing stable and highly accurate cell visualization. Their findings are ...

How Machine Learning and AI are Improving Deep Brain Stimulation There are ... by properly identifying anatomical landmarks using medical imaging methods such as magnetic resonance imaging ...