Blog & News

The recent advancements in custom models, such as the R1 DeepSeek model, have laid bare the critical factors organizations must consider when adopting AI: accuracy, cost, and intellectual property (IP) ownership.

Inference Analytics AI is recognized as one of Chicago’s key players in the healthcare AI sector. This acknowledgment highlights the company's innovative contributions to the healthcare industry, particularly in using AI to drive efficiency and improve patient care.

Inference Analytics AI's CEO has been recognized as one of the top AI-powered HealthTech startup leaders to watch in 2024. This acknowledgment highlights the team's dedication to advancing healthcare through groundbreaking AI solutions.

Inference Analytics AI's Farrukh Khan and Dr. Utku Pamuksuz present dual perspectives on integrating generative AI in healthcare at Northwestern University’s Institute for Artificial Intelligence in Medicine. This session at the Northwestern Medicine Healthcare AI Forum explored the intersection of business strategies and scientific principles for advancing AI-driven innovation.

At the Generative AI Healthcare Symposium hosted by Northwestern Medicine's Mansueto Innovation Institute and MATTER, industry leaders discussed the transformative role of generative AI in healthcare. Farrukh Khan of Inference Analytics AI joined experts from Microsoft, Nuance, and Level Ex to share how they are integrating AI into clinical workflows, advancing patient care, and optimizing operations.

Inference Analytics CEO Farrukh Khan and Dr. Paul Chang discuss the transformative role of AI-infused natural language processing (NLP) in radiology workflows. They explore how this cutting-edge technology enhances efficiency, accuracy, and clinical decision-making in the rapidly evolving field of medical imaging.

Inference Analytics AI partnering with Flywheel.io, is combining advanced AI-driven NLP with Flywheel's data management platform to enhance cohort discovery and streamline clinical research. This collaboration represents a significant step forward in leveraging AI for healthcare innovation.

As we navigate the rapidly evolving AI landscape, three key trends stand out for 2022: advancements in GenAI, the rise of Decision Intelligence, and their convergence to drive smarter, data-informed outcomes. At Inference Analytics AI, we’re at the forefront of these innovations, shaping tools that empower businesses with predictive and actionable insights.

Inference Analytics AI CEO Farrukh Khan and Dr. Chang discuss how Inference auto annotation leverages AI to streamline data labeling and categorization, boosting machine learning workflows with unparalleled efficiency and precision.

Inference Analytics AI's innovative suite of AI tools, including Semantic Search and Radiology Protocoling Assistant, revolutionizes workflows by extracting meaningful insights from unstructured data, enhancing clinical care, coding accuracy, and operational efficiency across healthcare and beyond.

Discover how Inference Analytics AI, in collaboration with Tableau and leading academic hospitals, leverages AI and machine learning to tackle critical healthcare challenges, including risk prediction, disease detection, clinical trial efficiency, and advanced analytics for life sciences.

Inference Analytics AI has been named one of the top machine learning companies, a testament to their commitment to innovation and impact in the AI space. This recognition highlights their contributions to advancing AI technologies and transforming industries with intelligent solutions.

Inference Analytics AI has developed an advanced neural network that creates radiology impressions based on detailed findings, streamlining workflows and enhancing accuracy. This innovation exemplifies the power of AI in delivering actionable insights for radiologists.

Inference Analytics' AI-powered Auto-Impression Assistant, leveraging the IANN neural network, is now available on the Nuance® AI Marketplace. This cutting-edge tool enhances radiology workflows by generating impressions automatically, boosting efficiency and accuracy for healthcare professionals.