Artificial intelligence is no longer a buzzword
It is now a massive and era-defining reality which is continuously shaping our digital interactions. But what about utilising the potential of AI in extremely critical fields like medicine. Well, AI is already being used in healthcare apps to take care of tasks that can be handled by machines. To the amazement of many of us, AI is also now being used in the field of medicine. From diagnostics to medical research to fast-paced clinical trials, AI is now being seen as the new promise for medicine.
So, it is actually not hype but a very feasible hope with too much to offer. Medical artificial intelligence can revolutionise healthcare in a never before way. Here through the length of this post, we are going to explain artificial intelligence is going to bring revolution in the field of medicine.
Artificial Intelligence in Healthcare and Medicine
Artificial intelligence as we all know is basically the machine led intelligence that by mimicking human reasoning can deliver relevant insights based on user data and help to make processes more well-informed and precision-driven. Similarly, it helps medical facilities to make really informed clinical decision. Based on past medical data AI helps to come with evidence-based medicines that fit into cases it meant for. With this power of boosting informed clinical decision making, AI is paving the foundation for personalised healthcare.
Based on user data of the mobile and wearable devices it can also gather insights about their behavioural attributes, health, fitness and lifestyle. Accordingly, AI-based health recommendations and preventive measures can be suggested. AI altogether offers an immense possibility of opportunities in medicine and healthcare.
The Role of Artificial Intelligence in Medicine
Already a massive amount of electronic medical data is produced every day. This large chunk of medical data produced in the healthcare facilities can be utilised to gather valuable insights about patients, treatment and responsiveness and medicinal interactions. Health app developers are also integrating AI to ensure deeper penetration into healthcare systems. AI powered by this rich reserve of healthcare data can play a significant role in the field of medicine. Here are some of the examples of how in future AI can play a significant role in medicine.
Clinical Decision Making: AI can play a significant role in making clinical decision making more informed and precise by grounding the decision making process on the relevant data-driven insights.
Pacing Up Critical Care: In emergency medical treatment process, time is crucial, and any delay can impact the treatment severely. AI by automating specific processes can pace up the critical care process.
Allocating Appropriate Medical Staff: AI also can help healthcare facilities allocating medical staff suitable and appropriate for particular patients. Based on patient history data and the ailment the care staffs and professionals can be assigned.
Medicinal Research: Thanks to patient and clinical history data processed across several processes AI algorithm can provide the most valuable insights about the responsiveness of medicine and effectiveness. This can help medicinal research tremendously.
Minimising Human Errors: AI can also minimise the human errors that seriously can put the life and care of patients in serious risks.
Let us now explain in more detail how AI can literally bring revolution in medicine.
AI-Based Medical Diagnosis
Proper diagnosis of diseases requires professional diagnostic skills and training. But, the entire healthcare sector suffers from a tremendous shortage of skilled diagnostic professionals. This is where AI-powered diagnostic processes can play a truly beneficial role. Apart from meeting the manpower shortage AI based diagnostics can also do away with the human errors that can prove fatal for critical diseases and health conditions.
Let us see here how machines equipped with AI learn to diagnose the diseases.
Machine Learning algorithms are at the heart of AI-powered diagnostic processes. It detects diseases based on data generated by healthcare devices or by assessing the health risks based on patient data. For instance, AI-based diagnosis can detect an imminent stroke based on CT scan, or it can detect the vulnerability of the heart disorder by deciphering certain signs in the patient data.
AI for Fast-Paced Drug Production
The drug production process involves extensive clinical trials spanning over years of time. Machine learning providing relevant insights into clinical findings can help to shorten this process to a great extent and consequently can decrease the cost to a high level. When drugs are tested through clinical trials on human beings or other living creatures, machine learning can detect the reactions and responses and gather relevant insights faster for the researchers and specialists to evaluate.
Personalised Medicine and Treatment
Personalised medicines are already being seen as the next big breakthrough in the world of healthcare. As patients respond to medicines differently allowing a variety of symptoms and levels of effectiveness, researchers are already working on medicines that can be administered individually to patients based on specific signs and level of responsiveness. AI and machine learning can deliver more precise insights about medicinal reactions and can process patient data to help practitioners decide about the particular course of treatment for every individual patient.
Conclusion
While AI will continue to make clinical processes more informed, faster and precision-driven, the doctors and healthcare practitioners of the future years also will be more equipped to utilise AI-based tools and new skills for treatment and care processes. This will eventually uplift the healthcare standard and treatment to a whole new level.
About the Author
Juned Ghanchi is co-founder and CMO at IndianAppDevelopers, professional mobile app development company in India expertise in gaming and enterprise application development across all mobile platform. Juned is a blogger with a passion for mobile technology solutions.
