Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Advancing healthcare, needle-free diagnostics employ wearable biosensors for noninvasive testing, ensuring rapid results and broader access to care.

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...

Research shows diagnostic labels legitimize suffering for some patients but can also increase stigma and anxiety when ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

RevealDX’s software analyses CT scans and assigns lung nodules with a Malignancy Similarity Index score to aid in lung cancer diagnosis.

TAMPA, Fla. — Doctors have been sounding the alarm for years that colorectal cancer is increasing at an alarming rate in people younger than 50. Now, legislation has been introduced at the federal ...