How AI is affecting the Indian healthcare industry

The focus of AI marks a pivotal moment for the future of diagnosis, treatment and medical research in India. According to Niti Aayog, the Indian government's policy think tank, the possibility of AI transforming India's healthcare sector is immeasurable. The technology provides solutions to many of the challenges facing the Indian healthcare system, particularly in terms of addressing the shortage of health professionals in the farthest corner of the world's most populous countries.

To improve accessibility to rural health services, Narendra Modi-led government prime minister focuses on developing broadband connectivity for primary health centres under Bharatnet, with 1 billion for AI-growth By providing funding more than dollars, we support the power of AI. Driven digital health services in India's 2025 union budget.

The government will digitalize healthcare systems through National Digital Health Mission, aimed at creating a unified health ID for all citizens, linking health records, and enabling seamless sharing of health data. It's become. The initiative is expected to generate vast amounts of structured data and create a fertile foundation for the growth of AI applications in healthcare.

In addition to the state's implementation scheme, large conglomerates will allow for the expansion of AI in the healthcare sector, with the use of AI in the Indian healthcare market projected to reach $1.6 billion at 40.6% in 2025. It's there. Tata Elxsi is committed to AI-powered medical imaging solutions. In 2024, Google formed an AI partnership with India-based medical device startup Forus Health and Aurolab to expand its screening for diabetic retinopathy.

Practo, one of India's largest digital healthcare startups, employs multilingual capabilities for AI to enhance telemedicine services.

During the pandemic, AI was deployed to predict outbreaks, but its usage now spreads across the spectrum of different types of devices and services.

In the field of diagnostics, AI quickly and accurately processes large amounts of data with scans such as CT, MRI, and X-rays. Bengaluru-based startup Sigtuple has developed a digital pathology platform that allows its own ability to remotely analyze blood samples. Their system brings expert diagnosis to the realm without professional care or access to a hematologist.

After diagnosis, AI is freed up health professionals and focuses more on the patient's experience by automating time-consuming repetitive tasks, follow-up, patient enquiries, and appointment scheduling. Generating AI systems also improve medication adherence rates.

“We're looking forward to seeing you in the future,” said Ayush Jain, CEO of HealTech Provider MindBowser. These advancements simplify health care delivery and create a more supportive and connected care journey for patients. ”

To help patients in their recovery phase, Apollo Hospital, India's largest hospital chain, is India's first AI-Precision Oncology Center ( India's first AI-Precision Oncology Center) to educate patients and families on diagnosis, treatment FAQ and connections with support groups. POC) was designed.

In addition to playing a complex role in the latter stage of drug delivery, AI is generating synthetic images to study conditions where there is limited real-world data available. This technology helps researchers analyze the scientific literature, identify patterns, discover new research topics, and generate hypotheses during the formulaic stages of drug research.

Globally, the use of AI in the healthcare sector has proven to offer many benefits. Machine learning algorithms evaluate biological data, predict drug target interactions, optimize chemical structures, and save a lot in terms of time and resources used.

“In healthcare, more than half of clinical decisions are still inaccurate, so using AI and structured data can help you make better and more accurate decisions,” says Michael Sen, CEO of Fresenius. spoke to CNBC at the World Economic Forum last year.

However, despite recognizing the benefits of AI, India is still tackling several obstacles and is accelerating adoption in the healthcare sector. The ethical and regulatory framework of AI in healthcare is still evolving. The Indian Medical Council (ICMR) has released guidelines for AI in healthcare, but requires more comprehensive regulations.

The lack of high quality structured healthcare data in India brings important hurdles along with effective deployment of AI and important data privacy and security concerns. The digital disparity in India poses another challenge. Urban areas have seen rapid digital adoption, while rural areas are still behind. Bridging this digital disparity and ensuring that AI-powered solutions reach all segments of the population requires specialized training in healthcare AI, building critical investment capabilities.

According to an EY study, the National Strategy for Artificial Intelligence in India identifies healthcare as one of its main focus areas, but the majority of Indian companies (53%) include healthcare It is in the beginner stage of implementing AI, including: , and only a small percentage (7%) advanced to the Explorer stage.

Achieving the full potential of AI in driving transformation in the Indian healthcare industry requires synchronized collaboration among all stakeholders.

The public must get used to the solutions that powered AI, hospitals must be willing to utilize more products developed by high-tech companies, and government balances innovation with patient safety The necessary regulatory frameworks must be created to develop positive policies to ensure that the policy is positive.

Over the next few years, establishing this synergy on AI in Indian healthcare systems will set new benchmarks from a quality perspective, develop medical solutions to address unique needs, and revolutionize global laboratory may cause the Innovations for healthcare around the world are now being created.