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J&J enlists AI to streamline joint replacement surgery

CIO Business Intelligence

While appropriate component sizing in TKA and THA is essential to optimizing clinical outcomes, there are instances where the provided patient X-ray during the pre-surgery process has poor image quality, which prevents predicting the right implant part sizing.

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Here’s how an IT leader is accelerating healthcare innovation adoption in India

CIO Business Intelligence

In this way, the entire life cycle of the product is taken care of. The IT department of a hospital is against the procurement of medical devices (CT scan, X-ray, ECG, and so on) from different vendors even if leads to capex savings. Besides, the prototype can be tested on patients. The healthcare incubator’s current projects.

IT 112
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Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

the proof-of-concept phase) and into deployment, which is otherwise known as being “in production”. . Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model. COPML accounts for the fact that true production machine learning (i.e.,

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Edge Computing is Thriving in the Cloud Era

CIO Business Intelligence

And now, sensors are often augmented with high resolution/high fidelity imaging (x-ray equipment, lidar). . With this knowledge, many operations can be further automated, thereby increasing productivity and reducing loss. Sparse sensor coverage has been solved with newer and more flexible sensors.

IoT 104
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Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot

Cars are driving themselves, x-ray photos are being analyzed automatically , and in this pandemic age, machine learning is being used to predict outbreaks of the disease , help with diagnosis, and make other critical healthcare decisions. It is safe to say that the accuracy hasn’t been linearly increasing with the size of the model.

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What Tools Do You Need To Manage Unstructured Data?

Smart Data Collective

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. How can businesses make meaning out of unstructured data and generally manage all of the information they’re generating in a productive way?

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

The bank is now working these proof-of-concept (POC) initiatives: intelligent search for internal productivity, automation with gen AI capabilities to assist in syndicated commercial loan workflows, and customer attrition prediction. It’s a significant danger with significant costs.

Risk 133