Artificial intelligence technology has proven to be a blessing for many industries and has helped to solve the fundamental problems related to the challenges faced. In the area of ​​health, too, this has been beneficial, especially with regard to diagnostics. AI will be increasingly used in healthcare, according to a recent study published in the Future Healthcare Journal, including for tasks such as diagnostic and treatment recommendations, patient engagement and compliance , and the administrative operations of health personnel.

There are intriguing opportunities for AI in the medical profession, how it could improve the treatment process, and some of the most successful applications of AI for medical purposes. The use of deep learning in medical diagnostics to detect cancer is a major development of AI in medicine. According to a recent study published in the Journal of the National Cancer Institute, the AI ​​system can detect breast cancer with the same accuracy as a typical breast radiologist.

With the ability of AI networks to train continuously, there is a good chance that their performance will improve significantly in the near future. Another interesting deployment is the use of AI and the Internet of Medical Things in consumer healthcare applications. These systems combine medical IoT devices to collect health data and AI-based applications to assess the data and make recommendations based on the patient’s current lifestyle.

The patient-centric approach of medical software developers has driven demand for home healthcare solutions. Artificial intelligence is widely used for the management of high-risk disorders. Telehealth tools are being implemented for patients at home to treat and prevent high-risk situations while reducing hospitalizations. These telehealth tools make it possible to take, document and process different measurements like a larger AI machine. This equipment can alert doctors when a patient is at high risk. This allows for early detection, faster diagnoses, and a subsequent treatment plan that reduces time and financial burden.

The best part about using AI in healthcare is that it can be applied to a variety of fields, from collecting and processing crucial patient data to creating surgical robots. Let’s take a closer look at the top five medical applications of artificial intelligence:

1. Classification of diseases
The ability of deep learning technology to examine images and find patterns opens the possibility of developing algorithms to help doctors diagnose diseases faster and more accurately. These algorithms can learn over time, increasing their accuracy in guessing the correct diagnosis.

Medical diagnostic tests such as MRIs, X-rays and CT scans, AI-driven software can be taught to correctly recognize indications of a certain disease. Similar technologies that process images of skin lesions have already used AI for cancer diagnosis.

2. Increase decision-making efficiency
Diagnostic and therapeutic procedures have always been difficult. The reason for this is that clinicians must consider the patient’s symptoms, potential research errors, all known treatment methods, potential side effects, illnesses with very similar symptoms, and many other factors at the same time.

Modern AI-based solutions are already helping physicians overcome research challenges, quickly process large amounts of health data, and ensure a comprehensive understanding of a patient’s health.

3. Artificial intelligence-based treatment options
Even after a disease has been identified and categorized, the treatment process can lead to further complications. A treatment plan doesn’t just include prescription drugs and exercises. Modern AI algorithms now help clinicians develop a comprehensive disease management strategy.

Artificial intelligence in medical diagnosis is already a reality, despite the fact that the healthcare industry and AI are still evolving and have many complex challenges to overcome.
Patients can use Google Health to track their fitness progress and get information about their condition, nearby hospitals, and medication reminders.

A concrete example of the benefits of AI in diagnosis in our country occurred in Indore when Apple Watch’s ECG feature saved the life of a 61-year-old man by detecting irregular heartbeats.

Clearly, AI is already changing the medical industry by helping clinics better organize their workflow, making diagnoses and decision-making easier for doctors, and making important lifestyle adjustments for patients.

Industry experts predict that not only will existing AI-based medical diagnostic solutions improve, but new ways to merge AI with medicine will also emerge. For example, AI should speed up the drug development process.

Prabhat Pankaj, CTO, Redcliffe Life Diagnostics

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