AI Medical Diagnostic Platforms Glossary: Key Terms & Concepts

HIPAA Compliant software is designed to meet the regulations set forth by the Health Insurance Portability and Accountability Act (HIPAA) in order to protect sensitive patient information....read more

In a medical setting, a modality is a type of diagnostic imaging equipment such as X-ray, CT, MRI, ultrasound, or mammography. Multi-modality support means the system can receive, store an...read more

A link to a Picture Archiving and Communication System, the store that holds medical images such as X-rays, CT, and MRI scans. Integration lets clinical staff open a patient's imaging from...read more

Image triage is software reading a study as soon as it is acquired and sorting it by how likely a time-critical finding is present, so a suspected large vessel occlusion or haemorrhage rea...read more

Worklist prioritization places the AI result into the reading list the radiologist already works from, moving a flagged study up the queue and marking why. It is the difference between an...read more

Structured reporting returns the AI output as a draft report with named fields and measurements rather than a free-text note, so numbers can be carried into the final report without retypi...read more

DICOM support means the platform receives studies and returns results in the standard medical imaging format, as a new series, an overlay or a secondary capture object. It is the plainest...read more

Care team alerts push a flagged case straight to the clinicians who can act on it, usually to a phone, with the images attached and often with messaging so the team can coordinate in one p...read more

Biomarker scoring quantifies a stain on a tissue slide, returning a figure for markers such as HER2, PD-L1, ER, PR or Ki-67 instead of a pathologist's visual estimate. The value is reprod...read more

Lesion detection marks the region of a study where the software believes an abnormality is present, such as a fracture on a plain film, a nodule on a lung CT, a lesion on a mammogram or tu...read more

Quantitative analysis turns an image into numbers: plaque volume, chamber dimensions, breast density, lesion size, perfusion maps or a segmented structure's volume. Numbers are what make ...read more

Risk scoring returns a likelihood rather than a finding: how likely a lung nodule is malignant, how likely a patient has obstructive disease, or how likely a lesion warrants referral. A s...read more

Clinical decision support presents the AI finding alongside the guidance a clinician uses to act on it, such as a guideline-based conclusion, a referral recommendation or a next-study sugg...read more

EHR integration connects the diagnostic platform to the electronic health record, so a result lands on the patient's chart and, in some products, so the platform can find patients who need...read more