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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.

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Accelerating Academic Medical Research with an AI-Driven Data Strategy

Snowflake

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. They serve as major hubs of medical research, pioneering new treatments that advance and set the standard of care throughout medicine. The post Accelerating Academic Medical Research with an AI-Driven Data Strategy appeared first on Snowflake.

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AI-Driven Data Strategy for Academic Medical Center Research

Snowflake

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. They serve as major hubs of medical research, pioneering new treatments that advance and set the standard of care throughout medicine. Patients who receive care at AMCs are more likely to receive the most up-to-date therapies and treatments.

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Medical Datasets for Machine Learning: Aims, Types and Common Use Cases

AltexSoft

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

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2020 Data Impact Award Winner Spotlight: Rush University Medical Center

Cloudera

The winner was announced as Rush University Medical Center. The Data for Good winner — Rush University Medical Center. The Rush healthcare system includes Rush University Medical Center, Rush University, Rush Copley Medical Center and Rush Oak Park Hospital, as well as numerous outpatient care facilities.

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The High Stakes of Complex Medical Claims

Teradata

A medical bill has hundreds of thousands of possible medical diagnoses & procedure combinations. This complexity presents a competitive advantage if overlaid with the right analytics.

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Computer Vision in Healthcare: Creating an AI Diagnostic Tool for Medical Image Analysis

AltexSoft

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. Medical image databases: abundant but hard to access. labeling data by medical experts to create a ground-truth dataset.

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