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The model integrates structured EHR data spanning patient characteristics, cancer treatment, vitals, lab results, medications and prior acute care utilization to determine an individual’s risk of requiring urgent care throughout the course of their treatment.

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A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance. 

Obesity Paradox Body Mass Index

AI is only as effective as the data it was trained on, and many datasets lack diversity in terms of patient body mass index.

The product, which is used to detect metastatic or recurrent prostate cancer, was approved by the FDA in 2021. 

What's more, the damage observed on imaging could play a role in deteriorating cognitive performance.

breast cancer month ribbon

The recommendations were designed to improve accuracy and safety in diagnosing breast lesions using multiple imaging methods, including DBT, ultrasound and MRI. 

Around the web

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.

A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.