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AI enabled healthcare is swiftly becoming today’s reality, fueled by innovative startups in the field. These startups are leveraging GPUs to develop AI applications that can analyze large amounts of data, identify patterns, and inform a diagnosis.
At this year’s GPU Technology Conference (GTC), which takes place from March 17 to March 21 in San Jose, leaders from emerging startups will participate in talks, demos and poster presentations highlighting their cutting-edge solutions.
Here’s a preview of the top AI startups that will be showcasing healthcare innovations in areas that span medical imaging to drug discovery. These pioneers are members of NVIDIA’s Inception Program, a virtual accelerator program that supports exceptional startups during critical stages of product development, prototyping, and deployment.
InformAI provides healthcare organizations with AI-enabled image classification tools for assisting in the detection of medical conditions at the point of care and surgical risk predictors to provide additional insights to physicians for their patient treatment planning.
CEO Jim Havelka and his team will present demonstrations of their latest 3D MRI/CT image classification algorithms for paranasal sinuses and brain cancer, as well as their patient outcome predictive tools.
Proscia developed AI algorithms that assist in the diagnosis of cancer and automate laboratory workflows using digital pathology images.
Senior Research Scientist, Rajath E. Soans, will present a poster on dermatopathology diagnostics with GPU-accelerated deep learning algorithms.
Cephasonics Ultrasound Solutions make it simple to develop, build and deliver new ultrasound-based products rapidly. They are using AI and GPUs to enable the next generation Ultrasound.
CEO Richard Tobias will give a talk on Ultrasound Architecture and Platform for Real-Time Image Processing.
Subtle Medical is using AI algorithms to make medical imaging faster and safer. Their first FDA-cleared product, SubtlePET, enables up to 4x faster scan times, resulting in better patient experience and increased throughput for hospitals and imaging centers.
Founder Enhao Gong will participate as a panelist in the Deep Learning Implementers Panel: Experts Discuss Keys to Their Successes.
NE Scientific leverages real-time simulations to provide surgical guidance to physicians during catheter guided thermal tumor ablations.
CEO and founder Andrea Borsic and data scientist Tian Liu will discuss their work in cancer therapy using GPU-accelerated HPC and deep learning to more accurately differentiate untreated malignant tissue from treated tissue.
ImFusion GmbH uses AI and image processing to create powerful software solutions enabling novel workflows for surgery planning and guidance. One such application is to turn 2D ultrasound data into 3D images, allowing clinicians to accurately fuse them with CT or MR scans.
Senior scientist Raphael Prevost will present Shaping the Future of Medical Ultrasound Imaging with Deep Learning and GPU Computing and show real-time demos with an actual ultrasound system.
Innoplexus AG provides an end-to-end platform for Life Sciences research. It uses artificial intelligence to assist in the discovery, clinical development and regulatory compliance of pharmaceuticals.
CTO Gaurav Tripathi will present How To Use GPUs For Faster, Better and Cheaper Drug Development Vice President of Technology & Innovation, Vatsal Agarwal, will present Real-Time Connection-Based Filtering to Improve the Precision of the Search Engine in Life Sciences
Arterys provides a medical imaging Web platform that utilizes AI for viewing and working with radiology images, like their Semi-Automated volumetric segmentation of liver lesions.
Director of Machine Learning, Daniel Golden will discuss a Deep Learning-Based Method for Automated Volumetric Assessment of Liver Lesions
Register for GTC to engage with a host of other AI startups that are exhibiting on the show floor, speaking at sessions, or presenting at the Inception Theater. Use code NVMFLORES provided by Mona Flores to save 25 percent.
Originally published by forbes