The health care industry in India is expanding rapidly, with a particular emphasis on digital transformation. NASSCOM estimates that by 2025, the use of data and AI in healthcare could boost India’s GDP by almost $25 billion. To increase Indians’ access to healthcare, major businesses and medical facilities are making significant investments in digital health.
The epidemic prompted the health care sector to watch as vital workers, makers of equipment, public health officials, and vaccine developers responded to the unprecedented difficulties of our day and saved lives. The Indian government has launched programs like the Unified Health Interface to provide an open protocol network that facilitates health service interoperability and speeds up the country’s adoption of digital health.
AI and machine learning will be essential in advancing health care and increasing its accessibility for billions of people, as digital health use increases in India. For instance, Google Cloud collaborates closely with India’s biggest healthcare system to include AI models into products like symptom checkers, which assist patients in understanding their main symptoms. In a different instance, we collaborate with really big health systems to aid them grow by utilizing our telemedicine service, which allows chronic patients to order medications on a straightforward and user-friendly platform. Verily and Google have partnered to create Automated Retinal Disease Assessment (ARDA), which aims to provide access to high-quality eye screening and prevent blindness. ARDA’s primary goal is to identify diabetic macular oedema and diabetic retinopathy through the use of machine learning technologies.
Recent advancements in large language models (LLMs), artificial intelligence (AI) technologies that exhibit language understanding and creation skills, have created new avenues for applying AI to practical issues. Contrary to some other LLM use cases, however, the employment of AI in the medical area necessitates the highest attention to bias, equality, and safety in order to safeguard patient welfare. We have made investments in medical LLM research in order to work toward creating AI systems that can access medical knowledge, correctly answer medical inquiries, and provide reasoning. We developed Med-PaLM, a PaLM version customized for the medical field, last year. The first company to receive a “passing score” on issues pertaining to US medical licensing was Med-PaLM. Our subsequent version, Med-PaLM 2, recently achieved an 85% score on medical test questions while maintaining a consistent “expert” doctor performance.
AI has great potential to improve the diagnostic and treatment planning procedures, particularly when used in conjunction with other partners to help provide high-quality care to those populations most in need of it. In order to create more inclusive and equitable consumer goods and health IT initiatives, the public and private sectors are increasingly collaborating with and learning from the social sciences, public health, biomedical informatics, computer science, public policy, and community organizations. By making sense of complicated information, advancing scientific and medical breakthroughs, democratizing access to health care, scaling expertise, tackling the most pressing global health issues, and lowering medical errors, artificial intelligence (AI) can help Google fulfill its goal of creating billions of healthier people faster.
