AI: Artificial Intelligence or Augmented Interpretation for medical imaging?
The short answer, AI can be both, either or sometimes neither.
Now for the long winded, boring, I need to read something that will put me to sleep at 2 am answer*:
The BOTH: In prescreen human head CT exams for acute neurological events, an AI algorithm has been trained to BOTH analyze head CT images, prioritize cases in a radiologists worklist and alert the clinician to potentially critical findings. Just imagine how useful it would be having a system put things that are more critical in front of someone’s eyes and alerting the attending clinician.
For students who are taking MRI training, it is very important to also take a comprehensive radiation safety course. As future healthcare workers, it is their responsibility to secure the administered medical procedure -- for their own sake and that of the patient.
Equine Magnetic Resonance Imaging (MRI) has changed the landscape in which orthopedic disorders in horses are diagnosed. The images gathered from this procedure have allowed veterinarians to provide more specific treatments to abnormalities including limb lameness. It covers both bone and soft tissue structures and the images are shown in three dimensions.
Small animal MRI works in the same way as typical veterinary imaging services available today. It is a non-invasive imaging test that is used to diagnose, aid in the treatment, and even come up with prognoses to a wide range of medical conditions involving the head, neck, brain, joints, and spine of small animals.
Veterinarians who want to pursue further education in their field can benefit greatly from magnetic resonance imaging or MRI training. This not only allows a person to expand his or her expertise in animal health but also makes him more desirable for hiring institutions, since MRI technicians are widely sought-after in the competitive industry of e-veterinary medicine.