Rapid and accurate diagnosis
 

• It detects abnormalities in their early stages, improving the chance of successful treatment.

 

• It reduces the risk of false negatives, increasing confidence in results.

Faster results
 

• It generates medical reports more quickly, reducing patient waiting times.

 

• It prioritises urgent cases, so action is taken as quickly as possible.

More relaxed
 

• It reduces the need for additional testing, minimising anxiety.

 

• It delivers precision results with confidence in the medical evaluation.

Improved care
 

• It allows the medical team to focus on the most complex cases.

 

• It speeds up decision-making by contributing to more timely and personalised treatment.

• Artificial intelligence enables the identification of lung nodules, emphysema and other lung abnormalities more precisely, facilitating early detection of respiratory diseases.

 

• It improves lung evaluation in its entirety, allowing identification of the early signs of chronic obstructive diseases (COPD), pulmonary fibrosis and other lung diseases.

 

• It facilitates the monitoring of disease progression using comparison with previous studies, helping to identify changes in lung structure and disease progression.

 

• It provides structured and detailed reports, delivering a clear view of lung health status and facilitating medical decision-making.

 

• Accurate second opinion. t works like a second pair of eyes for radiologists, reducing the possibility of false negatives and ensuring that no anomaly goes unnoticed.

 

• Personalised risk assessment. It assigns a score of 1 to 100 to indicate the risk of cancer in mammography, allowing for prioritisation of suspected cases and rapid action in those at higher risk.

 

• Better detection sensitivity. Its advanced technology improves the identification of suspicious lesions, increasing the probability of detecting cancer at an early stage.

 

• Effective in all types of breast density. Its capacity for detection is not affected by breast density, which improves accuracy in women with dense breasts, where tumours may be harder to see.

 

How does it improve the patient’s experience?
 

• Shorter scanning time: it reduces the duration of the test, ideal for those who have difficulty staying still for long periods.

 

• More accurate images: the technology improves sharpness and detail, even in small structures, facilitating a more accurate diagnosis.

 

• Greater accessibility: by speeding up scans, MRI waiting times are reduced.

 

Thanks to these improvements, MRI evolves to offer a faster, more comfortable experience, with improved accuracy, optimising both patient care and the quality of medical diagnosis.

• BoneView detects fractures, effusions, dislocations and bone lesions. It increases sensitivity by 16%, up to 30% in multiple fractures, whilst reducing undetected fractures by 30%, demonstrating its enormous contribution to diagnostics.

 

• It enables faster reading in emergency images, speeding up patient treatment.

 

• It helps in the identification of subtle patterns which may indicate the early stages of a disease.

 

• It provides a second opinion including suspicion scores, improving confidence in diagnosis.

 

• It increases diagnostic accuracy, enabling up to 35% more detection in scans with probable pathology.

 

Our radiologists play an essential role in the interpretation of imaging studies. AI does not replace them, but optimises their work:

• It automates repetitive tasks, such as measurement and segmentation, allowing specialists to focus on more detailed assessment.

 

• It generates pre-reports and facilitates the prioritisation of cases, speeding up the diagnostic process without compromising quality.

 

• It works with current systems in an integrated manner, ensuring smooth and seamless adoption into the workflow.