Apple
October 1, 2021
Cardiology
November 1, 2021India
India holds a unique setting to become a significant contributor to AI-driven solutions to transform many areas, including education, agriculture, manufacturing, and healthcare. Most of the current healthcare-related insights in India target either predicting future events for patients, early diagnosis, or initial interventions. A Bengaluru-based start-up company has developed a non-invasive, AI-enabled technology to screen for early signs of breast cancer. Other hospitals in Tamil Nadu also use machine learning algorithms to tackle the ophthalmologists’ shortage in India by detecting diabetic retinopathy. India’s “AI for All” initiative focuses on creating innovative, locally effective AI-powered solutions responsibly. The goal is for India to become the world’s most reliable outsourcing nation for AI-related work. (1,2,3)
Because algorithm reliability comes from its data, the government is currently evaluating legislation to enrich the data sets with moral ethics and conscientious security. India wants to transpose their data-rich, data-driven society to seize limitless opportunities to improve communities, empower individuals, and strengthen commerce and business.(3)
India holds a unique setting to become a significant contributor to AI-driven solutions to transform many areas, including education, agriculture, manufacturing, and healthcare. Most of the current healthcare-related insights in India target either predicting future events for patients, early diagnosis, or initial interventions. A Bengaluru-based start-up company has developed a non-invasive, AI-enabled technology to screen for early signs of breast cancer.(1,2,3)
Other hospitals in Tamil Nadu also use machine learning algorithms to tackle the ophthalmologists’ shortage in India by detecting diabetic retinopathy. India’s “AI for All” initiative focuses on creating innovative, locally effective AI-powered solutions responsibly. The goal is for India to become the world’s most reliable outsourcing nation for AI-related work. Because algorithm reliability comes from its data, the government is currently evaluating legislation to enrich the data sets with moral ethics and conscientious security. India wants to transpose their data-rich, data-driven society to seize limitless opportunities to improve communities, empower individuals, and strengthen commerce and business.(3)
Tricog
Tricog is a healthcare analytics organization based in Bengaluru and founded in 2015 by Charit Bhograj. Dr. Bhograj, an Interventional Cardiologist, identified adverse cardiac events outcomes were due to delays in preliminary diagnosis. Motivated by this finding, he partnered with a group of physicians and founded Tricog. The company leverages its medical and technological expertise to provide virtual cardiology services to remote clinics.(2)
It uses multiple AI algorithms to analyze electrocardiograms (ECG), after which an expert medical team assesses the algorithm’s precision for each ECG diagnosis. Tricog has revolutionized ECG analysis by increasing healthcare access in underserved and underprivileged communities. Technology, artificial intelligence, and a 24-hour medical team make this option the quickest and most reliable tool for real-time diagnosis in India’s market.(2)
Tricog is a healthcare analytics organization based in Bengaluru and founded in 2015 by Charit Bhograj. Dr. Bhograj, an Interventional Cardiologist, identified adverse cardiac events outcomes were due to delays in preliminary diagnosis. Motivated by this finding, he partnered with a group of physicians and founded Tricog.(2)
The company leverages its medical and technological expertise to provide virtual cardiology services to remote clinics. It uses multiple AI algorithms to analyze electrocardiograms (ECG), after which an expert medical team assesses the algorithm’s precision for each ECG diagnosis. Tricog has revolutionized ECG analysis by increasing healthcare access in underserved and underprivileged communities. Technology, artificial intelligence, and a 24-hour medical team make this option the quickest and most reliable tool for real-time diagnosis in India’s market.(2)
AI has meaningfully modernized the healthcare industry. Its most significant advantage is its performance and standardization to solve complicated tasks in seconds with great precision. There are many uses for AI, including early diagnosis, surgical assistance, and data breach prevention. Additionally, chart and history reviews (either structured or unstructured) use an epidemiologic and clinical approach to determine health conditions.(3)
SigTuple
Founded in Bangalore in April 2015 by Apurv Anand, Rohit Kumar Pandey, and Tathagato Rai Dastidar, SigTuple is working on machine learning and cloud-based solutions to identify abnormal patterns in medical data for disease diagnosis. This company uses AI to create tools to digitize test results for hospitals and clinics for further analysis. Its AI-powered continuous learning platform, Manthana, enables five major functions: data management, observations, model development, continuous learning, and analysis/reporting.(4)
Overall, this company combines artificial intelligence, robotics, and data science to build innovative screening solutions to make healthcare accurate, accessible, and affordable. SigTuple is building a healthier India with quality, standardization, and scalability of cutting-edge innovations for healthcare delivery.(4)
Founded in Bangalore in April 2015 by Apurv Anand, Rohit Kumar Pandey, and Tathagato Rai Dastidar, SigTuple is working on machine learning and cloud-based solutions to identify abnormal patterns in medical data for disease diagnosis. This company uses AI to create tools to digitize test results for hospitals and clinics for further analysis.(4)
Its AI-powered continuous learning platform, Manthana, enables five major functions: data management, observations, model development, continuous learning, and analysis/reporting. Overall, this company combines artificial intelligence, robotics, and data science to build innovative screening solutions to make healthcare accurate, accessible, and affordable. SigTuple is building a healthier India with quality, standardization, and scalability of cutting-edge innovations for healthcare delivery.(4)
Affle
Healthcare enterprises are exploring the power of conversational technologies to enhance patient support and educate users. The Affle Automated Healthcare Chatbot aids in gathering basic details before doctor consultation. After answering basic medical questions, this data is analyzed and triaged to provide basic information to the patient. The chatbot has enhanced patient engagement in healthcare-related companies.(5)
Healthcare enterprises are exploring the power of conversational technologies to enhance patient support and educate users. The Affle Automated Healthcare Chatbot aids in gathering basic details before doctor consultation.(5)
After answering basic medical questions, this data is analyzed and triaged to provide basic information to the patient. The chatbot has enhanced patient engagement in healthcare-related companies.(5)
Medius Health
The most troublesome aspect of epidemics is the massive supply and demand mismatch that saturates healthcare systems. Globally, health tech companies initiated medical chatbots updating their algorithms to screen people and advise whether or not they should seek medical attention. Nevertheless, apps that enable a quick at-home risk assessment are also making an entry in India. AI-powered applications are helping individuals screen themselves for the novel coronavirus. Medius Health developed Quro, a risk assessment tool for COVID-19 based on WHO protocols and guidelines. Patients have to fill a detailed questionnaire analyzed using an AI-powered algorithm to evaluate the information rapidly. The risk assessment stratifies the reading (no risk, minimal risk, moderate or high risk) and alerts the nearest facility that evaluation is likely needed. This approach reduces the pressure on healthcare institutions and warns first-line responders at increased risk of developing the infection.(6)
The most troublesome aspect of epidemics is the massive supply and demand mismatch that saturates healthcare systems. Globally, health tech companies initiated medical chatbots updating their algorithms to screen people and advise whether or not they should seek medical attention. Nevertheless, apps that enable a quick at-home risk assessment are also making an entry in India. AI-powered applications are helping individuals screen themselves for the novel coronavirus. Medius Health developed Quro, a risk assessment tool for COVID-19 based on WHO protocols and guidelines.(6)
Patients have to fill a detailed questionnaire analyzed using an AI-powered algorithm to evaluate the information rapidly. The risk assessment stratifies the reading (no risk, minimal risk, moderate or high risk) and alerts the nearest facility that evaluation is likely needed. This approach reduces the pressure on healthcare institutions and warns first-line responders at increased risk of developing the infection.(6)
Aravind
Diabetic retinopathy is a leading cause of blindness worldwide if left untreated. Each day more than 2,000 people in India seek care for this condition in crowded hospitals and eye clinics. Aravind’s care system is trying to amend this disparity in healthcare access, collaborating with Google and its sister company, Verily. Based on its prevalence and positive outcomes associated with early detection, the objective to prevent this cause of blindness is very much needed. Google is not charging the hospital while it tests the technology in Madurai, one of the largest cities in southern India. The hospital plans to install Google’s technology in surrounding villages where few eye doctors are available.(7)
Diabetic retinopathy is a leading cause of blindness worldwide if left untreated. Each day more than 2,000 people in India seek care for this condition in crowded hospitals and eye clinics. Aravind’s care system is trying to amend this disparity in healthcare access, collaborating with Google and its sister company, Verily. Based on its prevalence and positive outcomes associated with early detection, the objective to prevent this cause of blindness is very much needed.
Google is not charging the hospital while it tests the technology in Madurai, one of the largest cities in southern India. The hospital plans to install Google’s technology in surrounding villages where few eye doctors are available.(7)
Microsoft + Apollo
In India, cardiac diseases are amongst the leading causes of mortality and morbidity. Therefore, population-based clinical databases could fuel AI-based approaches to impact the global burden of cardiac disease. Collaborations with Microsoft’s path-breaking technologies supported by artificial intelligence and machine learning will help predict, prevent and manage heart disease in the country. Although incipiently local initiatives, the algorithms generated and the work towards creating a robust outsourcing platform holds promises of global impact on cardiovascular illnesses. The AI Network for healthcare project is part of Microsoft Healthcare NExt and aims to redefine healthcare through artificial intelligence and cloud computing. The partnership between Microsoft and Apollo will deploy new algorithms and models to predict cardiovascular risk and enhance primary and secondary prevention.(8)
In India, cardiac diseases are amongst the leading causes of mortality and morbidity. Therefore, population-based clinical databases could fuel AI-based approaches to impact the global burden of cardiac disease. Collaborations with Microsoft’s path-breaking technologies supported by artificial intelligence and machine learning will help predict, prevent and manage heart disease in the country. Although incipiently local initiatives, the algorithms generated and the work towards creating a robust outsourcing platform holds promises of global impact on cardiovascular illnesses.
The AI Network for healthcare project is part of Microsoft Healthcare NExt and aims to redefine healthcare through artificial intelligence and cloud computing. The partnership between Microsoft and Apollo will deploy new algorithms and models to predict cardiovascular risk and enhance primary and secondary prevention.(8)
Indian Council of Medical Research
According to the Indian Council of Medical Research (ICMR) projections, cancer incidence has been increasing. It is estimated that 1,700,000 new cancer cases and over 800,000 deaths by 2020 will be registered. India is trying to incorporate AI into the oncology field to overcome the challenges and burden of the disease. Recently, a study from the Institute of Cancer Research in London shows that AI may detect specific patterns in breast cancer not previously described. Moreover, AI-enhanced analysis of complex functional studies such as Multiparametric-Magnetic Resonance Imaging (mp-MRI) and Fluorescence Lifetime Imaging (FLI) will boost performance for identifying otherwise undetectable lesions. Based on this study, India is trying to apply these techniques to open new avenues for treatment, especially for those patients who are refractory or in whom hormonal therapies are not indicated.(9)
According to the Indian Council of Medical Research (ICMR) projections, cancer incidence has been increasing. It is estimated that 1,700,000 new cancer cases and over 800,000 deaths by 2020 will be registered. India is trying to incorporate AI into the oncology field to overcome the challenges and burden of the disease. Recently, a study from the Institute of Cancer Research in London shows that AI may detect specific patterns in breast cancer not previously described.(9)
Moreover, AI-enhanced analysis of complex functional studies such as Multiparametric-Magnetic Resonance Imaging (mp-MRI) and Fluorescence Lifetime Imaging (FLI) will boost performance for identifying otherwise undetectable lesions. Based on this study, India is trying to apply these techniques to open new avenues for treatment, especially for those patients who are refractory or in whom hormonal therapies are not indicated.(9)
References