While 21st century is evolving itself with the help of technology, AI is making the technology taking a leapfrog jump for it’s effective use for goodness. AI is now becoming the first choice in various industries when it comes to the processing of large and complex data, solving complex problems or even in invention processes.

No AI for Healthcare discussion is complete with mentioning the Jeopardy! TV show, where a historical event happened in February 2011 when IBM Watson AI system appeared as a contestant. That moment changed everything in healthcare and AI shown how useful it can be in the real world.

Today healthcare sector has gone beyond just getting the answers to the complex questions from AI systems. For example, IBM WATSON along with Medtronic has developed a new app Sugar IQ. It is helping the patients of Diabetes to keep healthy blood sugar level. It can tell how much sugar he/she should take in a whole day. It can also make a rough estimate of the altering blood sugar levels.

Health issues are increasing hugely nowadays, especially after the arising of COVID-19. From chronic diseases, such as diabetes and heart disease, to the risk of COVID, there are a number of scopes where artificial technology can smoothen the workflow and proper outcomes.

The patient load is increasing hugely, but there is a scarcity of doctors. This leads to a less attentive and costly healthcare system. In this scenario, Healthcare bots are providing fast and cost-effective service with high efficiency.

Healthcare AI bots are used in these cases can range from blood pressure monitoring, heart attack alerts, Covid self assessment, heart rate & oxygen level monitoring, MRI analysis, organ failure detection, septic shock etc.

It has been estimated that AI tools can act as a helping hand for physicians and healthcare staff, but they cannot replace their work in general as of now. AI is ready to perform many tasks such as diagnostic procedures, disease prognosis, constant monitoring of the patient's body parameters and analysing them, development of drugs according to patient's genetics, administration-related tasks, clinical document handling with the help of health care personnel. Healthcare AI also runs through these mobile phones or computers. Remote patient monitoring is now becoming possible with the use of AI.

Here are the few examples and use cases of the AI and ML based solutions that are changing the way Healthcare services are delivered, and making this world a good place to live.

AI And Robotic Surgery: The human body is full of surprises. There are infinite variations in the orientation of nerves and arteries in our body. Sometimes it is very difficult for a experienced surgeon also to make a surgery sucessful.AI is now helping the surgeons by making 3D graphics and artificial imaging. It is now used for doing precious suture and cutting also.

Diagnosis of Diseases: Many new AI devices has been made which can analyse patients’ parameters can make early detection of complicated diseases (like cancer). It is also enhancing the accuracy of diagnosis. AI driven systems are being used in cancer treatment and to suggest different alternatives available. Through AI driven 3D imaging system, it is helping clinicians to properly assess the growth and further spread of the cancer.

New Drug Development: Making a new drug is a very time-consuming process. It takes lots of money and hours of hours of human efforts. Out of these only few drugs becomes successful and get the approval. The pharmaceutical companies have developed AIs that can predict the efficacy, side effects and successfulness of drug. AI driven solutions can discover the relationship between genes, drugs and diseases. It can also correlate between different diseases and suggest new mechanism for drug development. Possibly performing chemical research and can find functionally same compounds with less side effects than the previous one.

Machine Learning and Mobile Health: A special part of artificial intellect which deals with prediction-based answers from collecting data of users is known as machine learning. Clinicians are already using this technology to assess cases of epilepsy. In OPD, to treat cardiac heart failure, many hospitals used AI.

A simple mobile app can remotely measure the heart rate of a patient. Some simple set questions like time of pain, any physical activity before pain, etc. are asked by the AI bots. Then it assessed and printed out a report.

Future of Healthcare AI for remote patients: In the busy era of the 21st century, it is not possible for all the patients to get regular visits to the doctor. This situation is more complicated for the patients who are suffering from chronic illness or for those who need a long time of treatment or therapy. So, AI can really play a big role in remote patients handling and decreasing the burden of the conventional healthcare system. It can track medical records, patient histories, compliance measuring, adverse effects of drugs given to the patient, as well as early diagnosis of other conditions developing in the body. The health care system will be more approachable to the rural areas also! They will get the chance to get specialized treatment from their home.