Evidence of political bias, corporate influence and fraud has made the field vulnerable.

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new AI-powered tool that analyzes multiple imaging types simultaneously, developed by an ...

Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary ...

AI skin cancer detection system gets green light for conditional NHS use An artificial intelligence system for potential skin cancer has been conditionally recommended for use in the NHS for the next ...

A Trump-aligned prosecutor’s attack on medical journals is a threat to your health care—and the medical establishment should not comply ...

The methods described in this paper include the screening of an MNIST dataset: HAM10000 which consists of seven different types of skin lesions with a sample size of 10,015 and the PH2 dataset, which ...

Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the cancer type and disease stage at diagnosis. We systematically reviewed studies on artificial ...

Science sleuths are stepping up efforts to detect bogus science papers. This includes building tools that comb through millions of journal articles for signs of tortured phrases spawned by AI.

Journal pulls scientific paper that popularized hydroxychloroquine as COVID-19 treatment The paper was retracted due to ethical and methodological issues.

Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming ...

Skin cancer is a major health problem. There are several techniques to help diagnose skin lesions from a captured image. Computer-aided diagnosis (CAD) systems operate on single images of skin lesions ...