IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

This paper is in the following e-collection/theme issue: Clinical Information and Decision Making (1939) Machine Learning (2105) Decision Support for Health Professionals (1557) Applications of AI ...
Hosted on MSN

Treating a giant python’s painful infection turned dangerous

A giant python in need of urgent medical care turned a routine treatment into a dangerous struggle. This rare encounter shows the risks vets face when saving powerful reptiles. Top Navy official fired ...
WSB-TV

Contractors using massive machine to tear down former Atlanta Medical Center for redevelopment

ATLANTA — The demolition of the old Atlanta Medical Center, formerly known as Georgia Baptist, is underway. One of the largest machines of its kind is tearing down the hospital, piece by piece. For ...
wqad

Cook Medical, Siemens partner to develop 'first of its kind' iMRI machine

INDIANAPOLIS — Indiana-based Cook Medical has partnered with Siemens Healthineers to create a radiation-free, image-guided MRI machine. In a press release, the companies announced they had developed ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
Fierce Healthcare

OpenEvidence AI scores 100% on USMLE as company launches free explanation model for medical students

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...
Medical Xpress

Using machine learning and big data in academic medicine

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...
FedScoop

How to use machine translation responsibly in government

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...
IEEE

Classification Based Deep Learning Models for Lung Cancer and Disease Using Medical Images

Abstract: The use of deep learning (DL) in medical image analysis has significantly improved the ability to predict lung cancer. In this study, we introduce a novel deep convolutional neural network ...