Artificial Intelligence technology has shown to be a boon to many businesses, assisting in the resolution of essential issues relating to obstacles faced. It has also proved beneficial in healthcare, particularly in terms of diagnostics. AI will be increasingly used in the healthcare field, particularly for tasks like as diagnosis and treatment recommendations, patient engagement and adherence, and administrative operations of the healthcare workforce.
There are fascinating possibilities for AI in the medical field, as well as how it might improve the treatment process and some of the most successful AI applications for medical use. A notable AI development in medicine is the application of deep learning in medical diagnosis to detect cancer. The AI system can diagnose breast cancer with the same accuracy as a conventional breast radiologist, according to a recent study published in the Journal of the National Cancer Institute.
With AI networks' ability to self-train, there's a considerable chance that their performance will improve significantly in the near future. Another fascinating application of AI and the Internet of Medical Things is in consumer health apps. These systems integrate medical IoT devices for data collection and AI-based apps for data analysis and recommendations based on the patient's current lifestyle.
The patient-centered approach of medical software developers has spurred a desire for at-home health solutions. Artificial Intelligence is frequently used in the treatment of high-risk illnesses. Telehealth solutions are being used to manage and prevent high-risk scenarios in in-home patients, decreasing hospitalisation. Different parameters can be captured, documented, and analysed using these tele-health systems, much like a more expansive AI machine. When a patient is at high risk, this technology can inform clinicians. This allows for early detection, faster diagnosis, and a more efficient treatment strategy, all of which save time and money.
The best part about AI in healthcare is that it can be used in a wide range of applications, from gathering and processing vital patient data to constructing surgical robots. Let's take a closer look at the top five artificial intelligence medical applications:
1. Classification of diseases
The ability of deep learning technology to scan photographs and detect patterns opens up the possibility of building algorithms to assist doctors in more rapidly and accurately diagnosing diseases. These algorithms can improve their accuracy in guessing the proper diagnosis over time through learning.
AI-driven software may be taught to correctly spot indications of an illness using medical diagnostic tests such as MRIs, x-rays, and CT scans. AI has already been used to diagnose cancer using similar technologies that process images of skin lesions.
2. Improving the efficiency with which decisions are made
Procedures for diagnosis and treatment have always been complicated. This is because clinicians must simultaneously assess the patient's symptoms, any research errors, all known treatment approaches, potential side effects, diseases with very similar symptoms, and a variety of other considerations.
Modern AI-based technologies are already supporting doctors in solving research problems, according to the researchers.
3. Artificial intelligence-based treatment alternatives
Even once an ailment has been detected and classified, the treatment process can lead to additional problems. Prescription drugs and exercises are merely part of a therapy approach. Clinicians can now use modern AI algorithms to help them put together a comprehensive illness management strategy.
Despite the fact that both the healthcare industry and AI are continuously evolving and face several challenges, artificial intelligence in medical diagnostics is already a reality.
Patients can use Google Health to keep track of their fitness progress as well as learn about their medical issues, nearby hospitals, and medication reminders.
In Indore, the ECG feature of the Apple Watch saved the life of a 61-year-old man by detecting irregular heartbeat, which was a real-world illustration of the benefit of AI in diagnosis in our country.
AI is clearly changing the medical industry by supporting clinics in better organising their workflow, making diagnoses and decision-making easier for doctors, and allowing patients to make significant lifestyle changes.
Industry analysts expect that existing AI-based medical diagnosis solutions will be improved, as well as new ways for AI to merge with medicine. For example, AI is predicted to hasten the discovery of new medications.
