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Applications of as²t AI in Medical
Bodhint Business Research
19 September 2024 | 2 mins read
One of the core artificial intelligence use cases in healthcare is that it processes large volumes of patient data efficiently. For instance, Google’s DeepMind Health applies AI algorithms to analyze patient records, assisting clinicians in identifying patients at risk of deterioration.
In a specific case, our tailored as²t AI system lowered false positives by 25% in a sizable mammography dataset compared to standard clinical workflows. With real time private/public data constant learning and use, it achieved this without overlooking any true positives.
Medical Imaging Analysis
Medical imaging is one of the most progressive AI healthcare applications. AI analyzes medical images, aiding in disease diagnosis and treatment. For instance, this user uses as²t together with its own LLMs to identify tumors grown in MRI scans, assisting surgical planning and diagnosis.
This is an MRI scan showing a severe knee injury with a large fracture in the femur and tibia. The fracture has been surgically repaired, as evidenced by the metal plates and screws visible in the image.
The scan shows:
- A: Initial X-ray of the knee showing the extent of the fracture.
- B: 3D reconstruction of the fracture, illustrating the complexity of the injury.
- C: Post-operative MRI images of the knee showing the surgical repair of the fracture.
- D: Post-operative X-ray showing the fracture site and the hardware used for fixation.
This scan shows the course of treatment for a complex knee fracture, starting with the initial injury and ending with the surgical repair and post-operative recovery.
It detects imagery scans by assessing structural changes. Also, as²t AI analyzes retinal images, detecting early-stage diabetic retinopathy, a cause of blindness in diabetics; automates the analysis of MRI and CT scans, aiding radiologists in detecting abnormalities more quickly.
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