By Ritu Mehrotra
The rapidly evolving world of technology is seeing a revolutionary concept that is pushing the boundaries of artificial intelligence – Human-Centric AI. This noteworthy advancement isn’t merely changing the game; it’s redefining the future of healthcare and health tech. As our journey through a data-driven landscape continues, Human-Centric AI emerges as a guiding light of innovation, poised to revolutionize patient care, diagnostics, and treatments.
Recent reports from dominant research firms like Gartner and IDC forecast a monumental trajectory for the global generative AI market. By 2028, it’s predicted that this market will soar to a remarkable $38.8 billion. These figures highlight the extraordinary potential of generative AI in shaping the future. Moreover, these insights focus on the healthcare and health tech sectors as the foremost driving force behind this exponential growth. This trend underscores the pivotal role that AI, particularly in a human-centric context, will play in redefining the landscape of healthcare.
Testament to the use-case of Generative AI is an experiment by Google developers “Artificial Intelligence and its future potential in lung cancer screening” in 2019 which highlighted noteworthy accuracy demonstrated by an AI algorithm in detecting lung cancer from CT scans. The algorithm even overwent the precision of radiologists in recognizing cancerous lung nodules, which translated to early detection and potential measures to overcome it.
Why Human-centric AI in Healthcare is Crucial
At its core, Human-Centric AI signals a paradigm shift in the AI world. Unlike its predecessors, it doesn’t aim to replace human expertise but to enhance it. Nowhere is this collaboration more vital than in healthcare, where trust is paramount and precision is non-negotiable. Patients entrust their lives to precise diagnoses and effective treatments, heightening the importance of AI systems that are not only accurate but also reliable.
The merits of Human-Centric AI over conventional AI are manifold. Among its most significant advantages is its amplified efficacy. By harnessing the insights of human experts, Human-Centric AI can deliver diagnoses and prognoses with unmatched accuracy. In the healthcare scenario, where decisions wield life-altering consequences, this partnership between human intelligence and machine learning becomes necessary. The fusion of cognitive and clinical perspectives ensures outcomes that are not just data-driven, but also deeply considerate of the intricacies of medical science.
Safety emerges as another critical sphere where Human-Centric AI excels. Unlike traditional AI, which occasionally blunders due to data misinterpretation, Human-Centric AI can be thoughtfully crafted to stop such mishaps. Results are curated based on a comprehensive sense of clinical parameters, mitigating the risk of flawed conclusions. This enhanced reliability contributes to the expanding trust in AI-powered medical interventions.
Use-case of Generative AI in Healthcare
Furthermore, the global reach of Human-Centric AI is immeasurable. Its clinical approach to diagnosis and treatment empowers swift and precise decision-making. Take, for instance, Stella, a virtual global Gen AI coach at United We Care. Stella can engage with billions, delivering succinct and accurate outcomes rooted in clinical insights. This unparalleled mass outreach potential holds the promise of democratizing access to quality healthcare.
Looking ahead, the demand for Human-Centric AI exceeds geographical boundaries. This surge in interest and application is substantial across the world, with nations such as the US, India, and Europe spearheading the movement.
The transition is steadily moving towards Cognitive AI
The evolution doesn’t cease with Generative AI. United We Care is diving deeper into Cognitive AI, where the distinction between machine and human intelligence blurs further.
As per the Gartner Healthcare Payer Research Panel Survey in May 2023, 55% of healthcare payer CIOs and technology leaders think LLMs will have a transformative or disruptive impact on the healthcare industry overall. Top LLM use cases in early implementations include natural language analytics, empathy and tone refinement, and language translation. Top LLM use cases under exploration include code generation, member self-service and first-draft member communications.
The pursuit of more effective Large Language Models (LLM) and Neural support models underscores Unite We Care’s dedication to shaping a future where AI seamlessly enhances the lives of millions currently, and shortly, that of billions.
To sum it up, Human-Centric AI is reshaping healthcare by placing humans and AI on a collaborative foundation. Its precision, safety, and capacity to adopt trust make it an invaluable asset in medical practices. The process is nascent currently, but it holds infinite potential to redefine the healthcare landscape soon.
The author is founder ,CEO, United We Care
