Christ Hospital catches cancer early using AI technology

C INCINNATI (WXIX) - Christ Hospital was one of the first five healthcare providers in the country to roll out new artificial ...
The American Journal of Managed Care

Five Ways AI Is Transforming Cancer Care—and Companies That Are Making It Happen

Artificial intelligence (AI) is on pace to become the most rapidly adopted technology in health care, 1 whether clinicians are ready for it or not. From ambient scribes transcribing doctor-patient ...

AI model powers skin cancer detection across diverse populations

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...

Father–son team integrates AI into cancer research

For more than three decades, USF Distinguished University Professor Dmitry Goldgof in the Bellini College of Artificial ...
IEEE

Ensemble Transfer Learning Coupled Osprey Optimization Algorithm for Feature Selection from Skin Cancer Image Datasets

Abstract: Among different cancer diseases, skin cancer is one of the most common leading diseases that increases the mortality rate due to lack of adequate and timely treatment. The enhancement of ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
C&EN

Ultrasensitive Detection of m

Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China ...
IEEE

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine-Learning Tasks in Logic Synthesis

Abstract: This article introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine-learning (ML) applications within the logic synthesis process. Previous ...
Frontiers

Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility

Department of Ultrasonic Medicine, Fetal Medical Centre, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Background: Lymph node metastasis serves as a crucial ...