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Artificial intelligence is expected to have a major impact on healthcare. It can be used to interpret the large database gathered over the years by companies, healthcare providers and researchers. Experts believe that the arrival of this latest technology into the field of oncology could benefits patients.

It is a known fact that early detection of the deadly disease would help in saving a life. Specialists are facing problem in early detection of this dreadful condition as the application is able to predict correctly at times, while it fails to do so in others. 

Different areas in which the new technology can aid in the field that is looking for help desperately. Few areas in which amazing science can help in cancer patients include:

AI in Diagnosis

Diagnosing different cancer is an elaborate process and takes lots of time. In a few cases, the results of the diagnosis were not reliable as well. The scientists are making advances in the field by trying to bring out methods that are less painful for patients and would take lesser time. The other factor they are working on is the percentage of reliability of the results.

There has been a significant change in the field of breast cancer. The technique tests the stiffness of the breast tissue by vibrating it, the waves thus formed are compared with each other, and thus help in finding if the lesion is cancerous or benign.

  • Classification of Tumours

The next stage after diagnosis is analyzing the tumour. The traditional methods used by the radiologists are slow and the reliable percentage is just fifty per cent. Scientists adopted the latest technology for automotive segmentation, and the results were far more reliable than the semi-automatic process.

  • Applying Precision Histology

Deep neural networks are applying algorithms to speed up the process of interpretation of stained slides. The networks had accuracy similar to dermatologists in case of skin cancer. Researchers are working to use the pixels of the images to get some diagnostic pattern. It could help in better accurate results and can contribute to the data pool that aid in precision oncology.

  • Tumour Development

Deep learning technique is used for tracking the growth of the tumour. A learning model is developed by scientists that updates itself and produces more accurate results as it continues to get updated with more CTs and MRIs. It also helps in comparison of tumour development between two consecutive results. This approach would be helpful in detecting bones, ribs and spine cancer.

  • Precision Medicine

Experts believe that artificial intelligence has a big potential in medicine precision. The problem in this regard is that the number of drugs in this field are very less in number. This field of science is attracting the attention of many pharmaceutical companies and large startups.

Though there are many challenges to come, but the interesting field of science is moving forward slowly by promising a bright future.