How AI in healthcare is transforming the industry?

The hugely transformative effect of AI in healthcare can’t be overstated. On one side, human limits in memory, perception, and analysis; on the other, AI’s increasingly powerful capability places us at one of the most significant times in human medical history, if not human history.

From accurate cancer diagnosis to early detection of high-risk heart problems, from mental health treatment to bringing back the voice of a sick person, AI is involved in numerous novel ways in transforming the nature of healthcare.

AI in Personalized Medicine:

AI can advise personalized medicine to patients based on their environment, genetic qualities, and lifestyle. It also helps find the most effective medicine for cancer patients’ speedy recovery.

AI in Remote Diagnostics:

During the COVID-19 epidemic, remote diagnostics and telemedicine played an important role in helping the sick recover fast.

With AI, the scope of diagnostics and telemedicine has expanded.

AI-powered chatbots can be used for primary diagnoses based on symptoms and previous medical records. These bots could advise, treat, and prescribe medicines without in-person visits, which is a real advantage for people residing in remote areas.

AI in Medical Imaging

AI is transforming diagnosis, and the best example is Google’s DeepMind AI system. It scans the retina of our eye and detects more than 50 eye diseases. In the same way, some of the AI algorithms can detect cardiovascular issues, liver diseases, and breast cancer from medical images. These additions of AI help in the early discovery of problems and on-time solutions. 

AI in Drug Discovery

Drug discovery was never cost-effective before AI, but AI has made it so. AI speeds up the discovery of new remedies by stimulating how drugs interact with diseases on the molecular level.

AI in Predictive Analytics of Patient 

Before AI, it was never easy to predict a patient’s fatal illness. AI tools can read the patient’s electronic health report and clinical data. And, warn the general practitioner. In such cases, the chances of a patient’s survival increase. 

AI in Managing Chronic Illness

AI can powerfully control heart disease, diabetes, and other chronic illnesses by coaching patients with real-time feedback on managing the disease in a better way. 

AI for healthcare solutions receives data from wearable devices and evaluates it based on patient inputs. Thereafter, it offers personalized therapies, tracks progress, and notifies potential health risks before it’s too late!

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Real-world implementation of AI in healthcare

1. Voice Restoration of an ALS Patient:
   Can you imagine losing your voice and then getting it back with 97.5% accuracy with the help of an AI-driven procedure? Casey Harell witnessed this after being voiceless because of Amyotrophic Lateral Sclerosis (ALS) disease and regained his voice after the implantation of electrodes in his brain. 
   
   These electrodes could decrypt his thoughts into speech, while previous methods could only restore 75% accuracy in his voice. It was a life-changing experience for Casey, and he enjoyed talking back to his daughter and wife after years! Thanks to AI in healthcare, Casey can now dream about singing a song for his loved ones and is working hard to turn his dream into reality. 
   
   
2. Early detection of Cancer:
   On-time detection of cancer can save a life from being trapped in death. Microsoft, in collaboration with Paige, has launched two AI-powered tools, Virchow2 and Virchow2G, to detect cancer at an early stage. 
   
   AI tools analyze tissue samples in detail and can diagnose a wide range of cancer types faster and more accurately than previous technology.
   
   The implication of this technology can help general practitioners with more precise diagnosis, and treatment, and bring hope to people battling this formidable disease. 
   
   
3. Detecting high-risk heart patients:
   The present system was not enough to identify heart problems in patients. The new AI system can identify the issue at the initial level and help with the timely treatment of the patients. 
   
   AI for healthcare systems is trained on millions of health records and can provide analysis-based accurate diagnoses.
   
   
4. Detecting Disease Through Audio:
   Google’s latest AI model can detect a disease by just listening to the sounds of cough, breath,  and sniffles. 
   
   This model has been trained on 300 million audio samples and can even diagnose tuberculosis (TB) and other respiratory conditions before they worsen. This can detect the disease based on a 10-second sound clip.
   
   Early detection is the key to the fight against TB, and it can save lives by initiating timely treatment.
   
   
5. Digitizing Smell for Cancer Detection:
   One more recent research study has come up with a new invention, an AI nose that can digitize scents. This nose can help detect cancer even at an early stage by the smell of breath. This complex task became possible by combining AI with cloud technology. 
   
   Additionally, this AI nose can smell and tell the quality of food before the human nose can even detect it. Thus saving us from food poisoning due to spoiled food. 
   
   To add more to our surprise, with the help of AI tools, the sender can teleport the required fragrance of food, flowers, and cosmetics to the receiver. This compels us to think about what more AI can bring!
   
   
6. AI Monitoring Mental Health with A Tiny Chip:
   Like diabetes and heart disease, severe depression can now be monitored by implanting a small chip beneath the skin. This chip sends electrical impulses to the part of the brain associated with mood swings. These impulses are monitored and recorded as a “mood graph”, which tracks the brain’s activity to help the practitioner prescribe the right medication and therapies at the right time. 

The dilemma of AI in healthcare

Just imagine a case where a sick person waits for months to meet a specialist, only to get a prescription for painkillers, and is advised to come back in a few months. By the time they get diagnosed properly, the disease has reached its critical stage and even death. 

This isn’t a reality for a few but countless patients worldwide. AI can make a difference in patients’ lives by reducing the burden on doctors and teams by taking care of administrative and data analysis tasks more effectively. 

AI can analyze vast data and images and quickly recognize the risk of chronic illnesses and early intervention. Thus, doctors can spend more time connecting well with each patient and suggesting the right therapies at the right time.

Decentralized solutions bring an end to the dilemma

In this era of AI, Blockchain, and Federated Learning, data is both significant and protected. Each patient can contribute to data storage for improvement in healthcare without losing their privacy. 

Federated learning is a machine learning technique that allows organizations to train an individual AI Model without sharing data with anyone else. 

Federated learning allows hospitals to share patients’ information for further research without disclosing their identities. Researchers can obtain complete and diverse data for medical advancements without hampering patients’ data accuracy. This becomes possible with the help of a decentralized network of blockchains. 

Blockchain adds more transparency and security to the system so that each patient can contribute his data without privacy concerns. They can track the data flow without being known to the other people on the network. Moreover, no one can alter the data after being stored on the blockchain network. 

Summarizing the impact of AI in healthcare

AI has contributed heavily to many critical healthcare fields and has served as a real assistant to doctors and patients. AI combined with blockchain and federated learning serves as a tool for good. The future of healthcare is deeply intertwined with technology and how we use it to enhance the quality of health, protect privacy, and provide healthcare access to everybody in need. 

We are moving towards a phase where AI in healthcare will play a pivotal role in building a healthier and more equitable world.

What is your opinion on how AI is used in healthcare?

We have several years of experience in this area and have built tools, solutions, and technology that provide timely, accurate, and personalized health monitoring.

Please contact us if you need assistance creating your customized healthcare app to track your employees’ or family’s physical and mental health.