The 5 most prominent ways AI/ML is redefining the entire healthcare industry

 

The global healthcare industry is embracing some form of artificial intelligence and improving its operations. Research says by the end of 2025, nearly 50% of healthcare organizations are going to implement some kind of AI into their everyday operations. McKinsey estimates that only in the United States, leveraging these advanced technologies like AI/ML in the pharmaceutical industry will generate nearly $100B annually. Healthcare software development companies are playing a crucial role in supporting and accelerating this massive technological shift. AI and ML are being used for R & D and drug discovery. They will capture more as digital transformation capabilities are accelerating globally.

ML and AI are shaping the healthcare industry in a broad scenario. Let’s divide the entire scenario into some points for better understanding.

 

1. Identifying diseases and diagnosis

 

Due to continuously growing populations and increased life expectancy, healthcare systems are getting overburdened. As a result, the infrastructure is becoming under-resourced, and medical professionals are not getting the equipment to face the new challenges. Thankfully, medical professionals are working on machine learning models so that they can predict disease susceptibility or help in the early diagnosis of diseases and illnesses.

 

Feebris is a UK-based technology startup. It uses AI algorithms for better detection of complicated respiratory conditions. It works by connecting existing medical sensors and can be easily used by non-medical professionals to detect respiratory issues early, avoiding further complications and hospitalizations.

 

2. Medical imaging diagnosis

 

According to IBM researchers, medical images are the big data source in the healthcare industry. ML is able to process large amounts of medical images at rapid speeds. ML models can be trained accordingly to be extremely precise in identifying mini-schedule details in MRIs and CT scans. Leading healthcare companies like Sophia Genetics, Zebra medical, and Enlitic have generated their own ML algorithm-based analysis of all types of medical imaging reports. They can better diagnose malignancies or abnormalities with a higher accuracy rate than healthcare professionals.

 

3. Robotic surgery

 

Robotics is simply changing the way surgeries are performed today. It is really surprising to know that the da Vinci robot is created to facilitate complex surgery using a minimally invasive approach. It effectively reduces the duration of surgeries as well as hospital stays. It is effective for both medical professionals and patients. It will be unfair if other robotic tools are not mentioned here. Mazor in spine and neurology, Stereotaxis in cardiac catheterization, Accuracy in cancerous tumor irradiation, etc., are constantly improving surgical outcomes for thousands of patients. Even nowadays, dental implants and hair transplants are being efficiently performed by surgical robotics today.

 

4. Personalized medicine

 

To develop personalized treatment, having a large amount of personal data is important. Infusing AI and ML to multiple data sources, now it’s really easy to collect electronic health records, genetic data, sensors/wearables data, and environmental and lifestyle data. You can see that IMB Watson Oncology is making great strides for cancer treatment by accessing deeper patient medical history to help generate multiple treatment options.

 

5. Drug development

 

According to advanced healthcare software development companies, the great thing about ML is that you can apply it at all stages of new drug discovery. For new drug discovery, ML also helps in designing the chemical or protein structure of drugs, target validation, investigating drug safety, and even managing clinical trials. On the other hand, ML in drug discovery can help the industry to lower the cost of introducing new drugs to the industry along with making the discovery process faster.

If you are planning to embrace ML in your healthcare organization and take the entire system to a whole new level. But the amount of benefits solely depends on the healthcare software development company you choose. To get smart applications powered by AI and ML, it’s really important to hire a healthcare software company like Pratiti Technologies. To get more information on AI/ML and how to leverage these technologies via software applications, it’s the right time to have a consultation with Pratiti Technologies.