Artificial intelligence (AI) contributes to early detection of clinically relevant breast cancer, according to a stu ...

The Department for Health and Social Care (DHSC) has announced an £11m pilot project, aiming to use artificial intelligence (AI) to help radiologists find breast cancer quicker.

Nearly 700,000 women will be recruited into an NHS trial of artificial intelligence (AI ... breast cancer screening in an attempt to spot the disease earlier and save lives. The EDITH (Early ...

The diagnostic developed by UK firm Endomag can be used to detect 'sentinel' lymph ... will be recruited into an NHS trial of AI tools for breast cancer screening, in the hope of relieving ...

A NEW study has demonstrated that AI can be used alongside mammography to effectively identify women at high risk of breast ...

PEORIA, Ill. (WMBD) –Artificial intelligence technology has advanced into almost all aspects of our lives, and the medical field is no exception. From lifting the workload from doctors to helping ...

The UK's National Health Service (NHS) has launched the world's largest prospective trial of using artificial intelligence (AI) to assess routine mammogram screenings. Nearly 700 000 women who have ...

However, AI models need a massive amount of labeled data to work well, which means radiologists still spend a lot of time marking images manually ... machines to better detect organs, tumors ...

Ibex Medical Analytics (Ibex), the leader in AI-powered cancer diagnostics, today announced that it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for Ibex Prostate Detect, an ...

Ovarian tumors, often detected incidentally, pose a diagnostic challenge that requires careful management. Decisions depend on assessing the malignancy risk and addressing patient symptoms. For benign ...

The founders of three Cambridge start-ups – Proteotype Diagnostics, Lambda Energy, and Easy Digital – were among the 50 ...

Was it simply a fluke that he kept treating strikingly young patients? Or was his practice one tiny data point in a larger trend? He found his answer after sifting through national health data: ...