Real-world federated learning in radiology: hurdles to overcome and benefits to gain
MR Bujotzek, Ü Akünal, S Denner… - Journal of the …, 2025 - academic.oup.com
Abstract Objective Federated Learning (FL) enables collaborative model training while
keeping data locally. Currently, most FL studies in radiology are conducted in simulated …
keeping data locally. Currently, most FL studies in radiology are conducted in simulated …
Medical imaging datasets, preparation, and availability for artificial intelligence in medical imaging
A Alabduljabbar, SU Khan… - Journal of …, 2024 - journals.sagepub.com
Background Artificial intelligence (AI) persists as a focal subject within the realm of medical
imaging, heralding a multitude of prospective applications that span the comprehensive …
imaging, heralding a multitude of prospective applications that span the comprehensive …
Pre-processing and quality control of large clinical CT head datasets for intracranial arterial calcification segmentation
B Jin, MCV Hernández, A Fontanella, W Li… - MICCAI Workshop on …, 2024 - Springer
As a potential non-invasive biomarker for ischaemic stroke, intracranial arterial calcification
(IAC) could be used for stroke risk assessment on CT head scans routinely acquired for …
(IAC) could be used for stroke risk assessment on CT head scans routinely acquired for …
Challenges Obstructing the Effective Usage of Artificial Intelligence in Psychotherapy and Feasible Remedies: A Reflective Discussion
K Vidanage, A Gunesekera - … Approaches to Ethical AI in Business, 2025 - igi-global.com
Mental health is an integral component strongly linked with physical health. Its impossible to
anticipate good physical health physique without considering the significance of mental …
anticipate good physical health physique without considering the significance of mental …