A researcher at Heriot-Watt University is harnessing the power of artificial intelligence to give patients living in remote parts access to timely and potentially lifesaving medical diagnoses.

Mount Sinai's Waldman Melanoma and Skin Cancer Center uses relatively new screening technology to detect and monitor spots.

EveLab Insight Debuts Dynamic Wrinkle Detection Technology at VivaTech 2025, Shaping the Future of AI-Powered Skin Wellness ...

DermaSensor today announced the publication of two pivotal studies validating its device for skin cancer detection in primary care.

The race for early cancer detection is one that physicians have been running for millennia. In one of humanity’s oldest surviving medical texts, the ancient Egyptian physician Imhotep described ...

Mobile apps that use AI to spot skin cancer can be fooled by something as simple as a transparent sticker on the camera, a new study shows, raising new concerns about patient safety and the ...

Contribute to suraiyamim/Skin-cancer-detection-using-MATLAB development by creating an account on GitHub.

Researchers have identified C5aR1 as a novel biomarker for metastasis risk and poor prognosis in patients with cutaneous squamous cell carcinoma (cSCC), the most common type of metastatic skin cancer.

The potential of multi-cancer early detection screening in reducing cancer incidence and mortality in high-risk groups: A modeling study.

A new dual-modal, non-invasive detection technique could make it easier—and faster—to differentiate between melanoma skin cancer and benign lesions.

Several foundation models, a type of machine learning algorithm trained on large datasets, proved highly accurate in detecting nonmelanoma skin cancers from tissue slides when adapted with minimal ...

AI scan outperformed dermatologists: Study A 2017 study published in the journal Nature found an AI model outperformed more than 20 dermatologists in identifying skin cancer from nearly 130,000 ...