AI is rapidly changing the future of healthcare, from early diagnostics and personalized treatments to administrative automation and real-time decision support. But while the potential is vast, so is the complexity. Not all AI inference solutions are built the same, and choosing the right one can make the difference between successful deployment and stalled innovation.
For healthcare organizations, it’s no longer just about using AI. It’s about finding complete AI inference on-premise and cloud solutions (inference-as-a-service or IaaS) that are fast, efficient, secure, and built for the real-world demands of health management, disease prevention, labs, diagnosis, treatment, hospitals, and rehabilitation.
The Challenge of Data Quality
As healthcare pushes forward with AI innovation, the industry faces fundamental challenges. One is data quality. Since AI’s outputs are limited by the data on which they are trained, then false, old, incomplete, or poorly organized data generates useless output. Innovators will also need to remain mindful of regulation, making sure that any AI deployment does not unintentionally fall afoul of confidentiality and privacy regulations like HIPAA.
Overcoming these challenges paves the way for exciting advancements. As healthcare continues to refine data quality and navigate regulatory complexities, emerging trends in AI inference hardware and silicon technology are set to transform healthcare AI to be faster to deploy, easier to use, and far more affordable.
Real-World Use Cases in Healthcare AI
Medical Imaging and Diagnostics
AI’s hyper-advanced pattern recognition capabilities enable medical professionals to rapidly find commonalities and variations in X-rays, MRIs, and CT scans imperceptible to the human eye. This promises to advance doctors’ ability to more accurately and quickly identify anomalies and to enable the medical world to discover unknown ways that conditions present in the body.
Personalized Medicine
The concept of therapies tailored directly to individual patients’ needs is gaining steam with AI, and some fascinating examples have emerged. For instance, biological data collected from fitness trackers has revealed commonalities in bipolar sufferers’ biomarkers before manic episodes. This could inform treatment in which healthcare professionals monitor patients and provide care before an episode to stave it off.
Operational Efficiency
AI’s effective use in healthcare extends beyond informing what doctors do. A hospital is a complex environment, with patients and staff moving around at countless different cadences 24/7. AI can be used to streamline this foot traffic flow, tightening budgets and improving the patient and provider healthcare experience through efficient AI infrastructure.
Future Trends that Impact Healthcare AI
Edge AI for Healthcare: Edge computing can bring IT closer to healthcare users, reducing latency for AI applications. An on-site server, like the ready-to-deploy NR1® AI Inference Appliance, accelerates data processing from wearables and devices for real-time patient insights, offering space, cost, and energy efficiency with greater data control.
Sustainable AI Solutions
Since AI inferencing is energy-intensive, smart AI pioneers are architecting environmentally sustainable hardware that provides the processing power without hurting the biosphere (or spiking energy bills).
NeuReality uniquely achieves ultra energy efficiency (up to 15x better) while maximizing GPU utilization within our Appliance. Inside, our NR1® inference orchestrator chip replaces the inefficient CPU/NIC, super boosting any AI Accelerator to nearly 100% utilization delivering higher AI output for the same cost and power envelope. Our approach reduces costly silicon waste and it better for the environment.
Evolving AI Governance
As AI advances, strong ethics and governance are vital for security, privacy, and more. Following emerging standards like in the ISO/IEC 42001:2023 standard for AI management, reliable vendors will prioritize ethical AI design and adherence to regulations.
NeuReality provides not only the technology but also robust partnerships with open-source software providers. Our AI Inference Appliance also comes pre-loaded SDKs/APIs, all aligned with the highest standards.
Embracing the Future of AI Inference
With AI inference’s capability for producing real-time insights beyond human capabilities, healthcare has the potential to provide patient care of unprecedented quality and convenience. But how far the industry gets down this path depends on effective and efficient implementation.
Healthcare organizations must approach AI sensibly implementing high-performance solutions that meet the real, unique needs of the enterprise, prove enhanced quality of care, and scale without becoming unreliable or breaking the bank.
How Does NeuReality Deliver Business Value?
NeuReality delivers these kinds of revolutionary AI Inference Solutions, across all life science use cases and more. Our easy, ready-to-go NR1® Inference Appliance comes pre-loaded with inference-specific Software Development Kits and APIs. Price/performance gains for computer vision alone - key to medical imaging for early detection - show over >90% cost and energy-efficiency improvements versus traditional CPU/GPU setups.
You can install and run our NR1 Inference Appliance in less than 30 minutes, and achieve 3x faster time-to-value for immediate AI innovation, provider, and patient feedback. It delivers a new standard in inferencing price/performance with 50-90% gains and 6.5x higher AI token output for same cost and power envelope as legacy CPU /GPU systems.
bring your own gpu!
The Appliance features the NR1® Chip - the first true AI-CPU specifically designed for inference orchestration and AI workloads at scale. The first-generation NeuReality chip optimizes any AI model including purpose-built inference APIs, and for any AI Accelerator (GPU, FPGA, ASIC).
It is deployed on customer sites today with Qualcomm® Cloud AI 100 Ultra accelerators, proving out lower cost of ownership compared to traditional CPU/GPU setups - both in capital and operational expenses.
What to learn more or get a deeper dive on NR1 vs CPU competitive comparisons running with the same GPU? See how our innovative on-premise or cloud-based NR1 Appliance can lower your AI operation cost and deliver superior quality of care.
Contact us today for a preview, demo, or guided walkthrough.
