Cooperative working performance of a dual-arm robot system optimised by a neural network adaptive preset control

X Chen, H Zhao, F Wang, S Zhen… - International Journal of …, 2024 - inderscienceonline.com
This paper innovatively integrates preset performance control technology with adaptive
neural network control targeting a dual-arm robot system with nonlinear uncertainties …

Optimizing Healthcare Throughput: The Role of Machine Learning and Data Analytics

PS Deorankar, VV Vaidya, NM Munot, KS Jain… - … , Biomedical & Drug …, 2024 - Springer
Abstract Machine learning (ML), a branch of Artificial Intelligence is at the center of
revolution in healthcare. By analyzing the complex data trends and biomarkers, it makes …

Robotics Application in the Hospital Domain: Operator-Patient-Robot Interface

EM Cruz, S Oliveira, A Correia - 2024 - preprints.org
Robotic systems are increasingly being used in healthcare to improve patient care and
support healthcare professionals. These robots are especially effective at performing …

Optimizing Oncology Tools: Organ-On-A-Clip Alternative to Animal Model Sonali Manwatkar, Makarand Puri, Priyanka Karpe, Bhavna Mahajan

B Kumar, S Kulkarni - Biosystems, Biomedical & Drug Delivery Systems … - books.google.com
The infamously extreme attrition of existing drug discovery and development are driving a
paradigm change in biomedical research toward methods centred on human illness models …

The Future of Medical Imaging: Ensuring Ethical and Legal Compliance

S Acharya, P Paul - Smart Medical Imaging for Diagnosis and Treatment … - taylorfrancis.com
This chapter highlights the intricate field of medical imaging, following its development from
X-rays to artificial intelligence and machine learning. It analyzes the moral issues that …