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Incorporating Artificial Intelligence In Indian Healthcare Sector

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Every year, around 50,000 individuals graduate to become certified doctors. In order to maintain the minimum doctor-patient ratio, as suggested by WHO, India will need 2.3 Mn doctors by 2030. If there was ever a requirement to push healthcare in India into the future, it is now! Today is the time when we can see significant disruption in the Indian healthcare industry. Much of this is credited to the level of involvement of artificial intelligence, big data, cloud, machine learning and deep learning, and wearables or fitness trackers which are connecting the organizations with the individuals.


12 Artificial Intelligence Based Healthcare Startups in India

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Taking care of human health is a quite intricate job that requires broad and multiple aspects of the healthcare industry to work together. Healthcare industry is already overburdened with the exploding population and lack of trained doctors. The ratio of doctor to patients in India is 1:1700 which is far higher than the recommended ratio of 1 in every 1000 patients by WHO. The spontaneous increase in the count of efficient healthcare providers is not possible. But the access to intelligent and smart technologies can enhance the productivity and precision of existing ones in serving more patients in a specific time, with the ease to improve healthcare outcomes and in lowering the healthcare expense.


Reinventing the healthcare sector with Artificial Intelligence

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Artificial Intelligence (AI) and Machine Learning (ML) have already started making inroads into various industries. Healthcare is emerging as one of the biggest beneficiaries of the AI revolution. The technology is capable of facilitating easy and secure access to patient medical data, understanding and analysing their conditions. This ultimately helps improve accuracy and efficiency in the diagnosis and modernisation of health care practices. An example of an elementary implementation of AI is the use of chatbots and virtual assistants that can take care of basic yet tedious tasks like registering medical records, clinical workflows and monitoring lab results – all in an automated and secure process.


Supercharging the Indian healthcare industry with Artificial Intelligence : Ashu Kajekar - ET HealthWorld

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AI technology can bring down the drug discovery cost by analyzing huge data points in a fraction of the time as compared to humans.By Ashu Kajekar, CEO, 7EDGE Internet Imagine a doctor who can predict a patient's illnesses in advance and prescribe preventive medication in the blink of an eye. Or a computer in a research facility, that ingests and analyzes complex drug chemistries using deep learning algorithms to discover new medications. For that matter, an integrated neural network in an eye hospital that scrapes patient data for signs of eye diseases. Or even better, imagine a chat bot app in your smartphone asking you if you still have the stomach ache from yesterday and if you would like to consult a doctor on a particular day. While all may seem far-fetched, this vision of healthcare is not too far off.


Artificial Intelligence Can Now Detect Brain Tumor and Lung Diseases

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After revolutionizing various industry sectors, the introduction of artificial intelligence in healthcare is transforming how we diagnose and treat critical disorders. A team of experts in the Laboratory for Respiratory Diseases at the Catholic University of Leuven, Belgium, trained an AI-based computer algorithm using good quality data. Dr. Marko Topalovic, a postdoctoral researcher in the team, announced that AI was found to be more consistent and accurate in interpreting respiratory test results and in suggesting diagnoses, as compared to lung specialists. Likewise, Artificial Intelligence Research Centre for Neurological Disorders at the Beijing Tiantan Hospital and a research team from the Capital Medical University developed the BioMind AI system, which correctly diagnosed brain tumor in 87% of 225 cases in about 15 minutes, whereas the results of a team of 15 senior doctors displayed only 66% accuracy. The introduction of technologies such as deep learning and artificial intelligence in healthcare can help achieve more efficiency and precision.