AIDOC Artificial Intelligence (AI) Technology

Introducing Artificial Intelligence (AI) into the workload at Global Diagnostics (GDA) allows the detection of urgent life-threatening conditions so patients can be treated faster!

As medical imaging technology becomes more precise and accessible, radiology is increasingly becoming a key foundation of modern medicine helping guide diagnostics, treatment and prognoses. But the growing utility of medical imaging also has its downside: with over 75% of all patient care involving radiology, the number of radiologists is not keeping pace with the increased amount of imaging.

A typical CT scan contains hundreds of images, historical exams plus relevant clinical information and radiologists are already struggling with data overload. Radiologists are being pressured to produce quality results at a faster pace with increasing amounts of data. The reality is in critical conditions if we fail to detect an abnormality of time, a patient could lose their life.

GDA has partnered with leading international AI company called Aidoc that solves this problem. This is delivered by providing radiologists with the most advanced solutions to increase efficiency and expedite patient care within their existing work environment. The solution constantly runs in the background and analyses every relevant exam right after the patient leaves the scanner.

GDA uses AI applications for three important, often life-threatening medical conditions: Intracranial Haemorrhage ie stroke, Pulmonary Embolism, and Cervical-Spine Fracture.

Dr Nazar Bokani, Clinical Director, Global Diagnostics: “The increase in demand for radiology services in regional areas has created an increased workload for radiologists servicing the regions. AI is being used to effectively triage the truly urgent cases, and this allows the radiologist to appropriately prioritise patients in most need of care. The application provides additional peace of mind for radiologists, patients and referring doctors, that urgent life-threatening conditions are found and treated faster. AI has arrived and it is here to stay, it is going to materially improve patient care and service well into the future.”

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