Artificial intelligence is a combination of computer algorithms and human efforts to carry out a task typically associated with human intelligence. In other words, AI is made to lessen the burden of work with an efficient technology that saves resources and reduces errors.
A human is bound to make errors and that is defined as human error. The future of healthcare is in the hands of AI. It is anticipated to create a revolution and mark the beginning of an easier and convenient world.
In the healthcare sector, continuous efforts are made to introduce AI to make it more reliable and efficient. Artificial intelligence has a wide range of capabilities that makes it, the need of the hour. The healthcare system when introduced to AI will be able to provide a wide spectrum of data on all the case studies; researchers based on the case studies will make the treatment better. It would be able to suggest better therapy for patients, improve diagnosis. Along with all the long-driven goals AI is also capable of preventing the time lag with errorless results.
Reasons to use AI in healthcare
1. AI will provide data-driven treatment
Through the decades a lot of data got lost because of lesser technologies and storage space. All the data from around the world isn’t contained and therefore access to such case studies is not very handy. With the use of AI, the retrieval of data from any time and anywhere becomes easier.
2. Improves reliability
The treatment will be completely based on data as the information will contain past and hereditary all records. This is expected to increase efficiency with the most reliability.
3. Reduced human-errors
AI is supposedly more accurate and precise to work and is incapable of tiredness, mood swings and negligency.
4. Better patient outcome
AI will be responsible for analysing patients with ailments and will suggest the best therapy that can be done. Easier accessibility will introduce better interactions.
The installation cost is the one-time investment for the setup. After which AI will improve resource utilisation and the cost of treatment will reduce.
6. Improves diagnostics
There are still many diseases that cannot be spotted through MRIs and X-rays. The diagnosis is easier, more efficient and accurate with AI.
7. Improves treatment
With the amalgamation of AI and skilled medical professional, the treatment will be more efficient and detailed. Treatment is anticipated to be more advanced, comprehensive and accurate.
AI can be explained better in the three categories;
AI is under rigorous biomedical research and efforts are made to incorporate advanced technology into better treating practices.
Artificial intelligence aids automated experiments, data collection, gene function annotation and literature mining or data mining.
2.Translational research: AI has been proved efficient in discovering potential treatments for diseases.
It is assisting in areas such as biomarker discovery, drug-target prioritization, and genetic variant observation.
3. Medical practice: AI has several benefits when used in a regular medical setting.
As stated above it can be used for disease diagnosis, treatment selection, patient monitoring, and risk hierarchy models.
AI-markets across the globe
According to recent data, the artificial intelligence in healthcare diagnosis market was estimated at US$ 3,639.02 million. The efficiency is no-doubt par excellence and hence the transient change in technology does give space to make money out of it. It is only an upgrading market for manufacturers but for people working in the healthcare industry, IT professionals, analyst and data scientists. It is expected to escalate to US$ 66,811.97 million by 2027.
With the sudden upsurge in the number of coronavirus cases all across the globe, demands of AI does not stop. The discovery of newer, better medication and therapy awaits the advancement in technology.
Artificial intelligence is by far the most advanced and significant discoveries in healthcare technologies. The types of equipment required to set-up a completely artificially-driven system are eventually becoming part of healthcare around the world. The diagnostic and therapeutic technologies cost a lot but have been proved efficient in all cases. The results are accurate and hence their demands are ever-increasing. The US, China and the UK are the biggest investors of AI and are becoming popular spots for healthcare revolutions. Various other countries have also held hands in collaboration with these countries for technological advancement in the healthcare sector.