About Teleradiology

Teleradiology as every other branch of telemedicine, owes its birth to imbalance of demand and supply. Teleradiology is the transmission of images such as x-rays, CTs, and MRIs, from one location to another for the purposes of sharing studies with other radiologists and physicians.

This is particularly important when a sub-specialist such as a

• MRI radiologist
• Neuroradiologist
• pediatric radiologist
• musculoskeletal radiologist

is needed, since these professionals are generally only located in large metropolitan areas working during daytime hours. Teleradiology allows for trained specialists to be available 24/7.

Teleradiology Field is changing fast in recent years. Future Teleradiology is the leading company for providing the teleradiology reporting service.

The technology has led to reduced workload on radiologists, faster turn-around time for patients, and cost savings for hospitals who find that Teleradiology presents an attractive alternative to having radiologists available 24x7 hours a day.

The modern practice of radiology involves several different healthcare professions working as a team.

Teleradiology utilizes standard network technologies such as the

• Internet
• Telephone lines
• Wide area network
• Local area network (LAN)
• Computer clouds

Radiology is the medical discipline that uses medical imaging to diagnose and treat diseases within the bodies of both humans and animals. A variety of imaging techniques such as

• X-ray radiography
• Ultrasound
• Computed Tomography (CT)
• Nuclear medicine including positron emission tomography (PET)
• Magnetic resonance imaging (MRI)

are used to diagnose or treat diseases. Interventional radiology is the performance of usually minimally invasive medical procedures with the guidance of imaging technologies such as those mentioned above.

In Radiology artificial intelligence, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayesian networks, and case-based reasoning.

The Artificial intelligence database / Radiology database confirmed earlier observations that lung cancer occurs in a 3:2 right-to-left ratio.