DocHuddle, Inc

DocHuddle is a company based in New York, United States, founded in 2013 by Avez Rizvi and Saif Ahmed. It specializes in diagnostic imaging and hospital workflows, focusing on solving healthcare problems using augmented reality and wearable technology. The business operates on the periphery to make progress without invasive enterprise hospital projects.

The company uses deep learning to score medical images for diagnoses so hospitals can prioritize read queues and tackle urgent cases first. They are writing classifiers for automated segmentation, condition scoring, and eventually automated diagnosis.

They provide Live Inferencing tools for continuous risk scoring based on EMR streams rather than relying on annual physical exams. They automatically report performance on predictive models per eventual outcomes to avoid taking risks with patient health.

The company is seeking domain-expert freelancers and interns with experience in TensorFlow, Python, Image Processing, and Distributed Systems. They also value the ability to tackle problems, think outside the box, and handle challenges.

Reviewers highlight the platform's clean and organized interface, ease of use, and intuitive features for document management and collaboration. Many users specifically mention the friendly and responsive customer support team as a major positive factor.

The business holds a Trustburn rating of 3.9 out of 5 stars based on 11 reviews. The most recent reviews date back to November 2023, with the oldest review appearing in December 2022.

The company focuses on diagnostic imaging and hospital workflows, aiming to change how things work in medicine. They believe that regulation and organizational inertia should not impede progress in these areas.

The website states they operate on the periphery to make progress without needing invasive enterprise hospital projects. This allows them to implement solutions more quickly and efficiently.

They are looking for motivated clinical partners who are ideally located in fast-trackable regulatory jurisdictions or single payer systems with well-aligned incentives. They offer liberal equity sharing for partners who bring value to the effort.

They use deep learning to score medical images for diagnoses so hospitals can prioritize read queues and tackle the urgent cases first. This helps address the issue where hospitals feel stuck in outdated workflows despite having modern smartphones.

The company believes an annual physical exam should not be annual, but rather continuous with every interaction that generates data. They aim to provide Live Inferencing tools to support this continuous monitoring approach.

The team utilizes deep learning, machine learning, and algorithms to build their solutions. They also rely on best-of-breed technology solutions combined with industry know-how to create a win for patients.

Users frequently mention the ability to securely store and share documents as a game-changer for their business. The seamless collaboration features and the ease of meeting deadlines are also repeatedly praised.

The company operates on the belief that medicine is a beast and that regulation and organizational inertia will always exist, but they should not impede progress. They aim to make sure everything else is ready to go to facilitate this progress.

Saif Ahmed serves as the CTO and Data Scientist, and is also a Co-Founder of the company. He is described as a recovering Wall Street Quant exec who is hacker-obsessed with models, algos, machine learning, and making things happen.