AI @ HLTH Pavilion
Exploring the AI Revolution
Your go-to resource for all things AI
HLTH is on a mission to demystify the use of AI in healthcare by convening the forerunners in this technology for demonstrations and collaborative dialogue covering real-world use cases.
New this year, the AI @ HLTH Pavilion is a destination in the exhibition hall where HLTH attendees will experience live interactive demonstrations around specific use cases for AI in healthcare.
KEY TOPICS AND THEMES
✔ Decipher AI Jargon: Break down the AI language barrier! From machine learning to deep learning, get fluent in the terms that are shaping the future of healthcare.
✔ Innovation Unlocked: Unveil the secrets behind the most groundbreaking AI applications in healthcare. Learn from the pioneers who dared to think differently.
✔ AI in Action: Witness firsthand how AI is revolutionizing healthcare through live demonstrations. See the technology in action and learn how it’s making waves across the industry.
✔ Collaborative Genius: Engage with a community of innovators, policy-makers, and tech visionaries. Learn how collaboration is key to unlocking AI’s full potential in healthcare.
✔ The Human Touch: Explore how AI enhances patient care, from improving diagnosis accuracy to personalizing treatment plans. Discover AI's role in making healthcare more human.
✔ From Concept to Reality: Transform knowledge into action. Learn practical steps for implementing AI solutions in your healthcare practices or business.
Who should be there?
The pavilion will be the hub for government agencies, standards bodies, certifying organizations, test harnesses, and other leading innovators in the AI implementation space and can provide direction to technology innovators who seek to leverage AI.
Why should you check it out?
Whether you are investing in new technology that uses machine learning or exploring the potential of generative AI, the AI@HLTH pavilion experience will build on your understanding through real-world examples and cutting-edge success stories that will blow your mind.
Gain a clear understanding of each AI capability and how to approach it in your implementations with a focus on 5 key areas, including:
Machine learning (ML): training algorithms using data sets, such as health records, to create models capable of performing such tasks as categorizing information or predicting outcomes.
Deep learning: A subset of machine learning that involves greater volumes of data, training times, and layers of ML algorithms to produce neural networks capable of more complex tasks.
Neural language processing (NLP) is the use of ML to understand human language, whether verbal or written. In health care, NLP is used to interpret documentation, notes, reports, and published research.
Robotic process automation (RPA): the use of AI in computer programs to automate administrative and clinical workflows. Some healthcare organizations use RPA to improve the patient experience and the daily function of their facilities.
Augmented and Virtual Reality (AR/VR): AR/VR coupled with AI is used in addiction medicine and mental health clinics for submersion therapy and behavior modification.
To learn more about participating in AI @ HLTH sponsorship opportunities, click here.
USE CASES
The AI @ HLTH Pavilion brings the journey of better healthcare through expanded use of technology to life with demonstrations around specific use case stories.
In healthcare, AI is being utilized to enhance diagnostics, personalize treatment plans, streamline administrative processes, and ultimately improve patient care. The development of these solutions is happening seemingly overnight, and we want to celebrate and share the exciting possibilities with the HLTH Community.
✔ Applications in Diagnostics One of the most significant contributions of AI in healthcare is its role in diagnostics. Machine learning algorithms can analyze vast amounts of medical data, including imaging scans, pathology reports, and genetic information, to assist healthcare professionals in making more accurate and timely diagnoses. This not only improves the efficiency of healthcare delivery but also contributes to early disease detection.
✔ Personalized Medicine AI enables the era of personalized medicine by tailoring treatment plans based on an individual's genetic makeup, lifestyle, and other factors. This targeted approach leads to more effective and efficient treatments, minimizing side effects and improving overall patient outcomes.
✔ Robotic systems powered by AI have become valuable tools in the operating room. Surgeons can now perform complex procedures with enhanced precision and control, leading to shorter recovery times for patients. Robotics in surgery is a prime example of how AI is augmenting human capabilities in the healthcare domain.
✔ Administrative Efficiency Beyond clinical applications, AI is streamlining administrative processes in healthcare institutions. From appointment scheduling and billing to inventory management, AI-powered systems are optimizing workflow, reducing costs, and improving overall efficiency.
