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Related Articles from SNS
Allegations of double billing and charging for no service at Kalgoorlie hospital
Allegations of double billing and charging for no service at Kalgoorlie hospital Sun 7 Jun 2026 at 10:57am In short: A public hospital been billing Medicare for some private imaging services which are not eligible for bulk billing, according to an internal memo obtained by the ABC. Integral Diagnostics's subsidiary, Apex Radiology, operates at the Kalgoorlie Health Campus in WA's Goldfields-Esperance region. WA Health Minister Meredith Hammat says she has sought advice and will make...
Medical imaging provider to investigate improper Medicare billing allegations
Medical imaging provider to investigate improper Medicare billing allegations Tue 9 Jun 2026 at 1:50pm In short: Integral Diagnostics says it will conduct an external audit to confirm there are no Medicare billing "anomalies" at Kalgoorlie Health Campus. The WA Country Health Service enters billings for some of the radiology services conducted by the company's subsibiary, Apex Radiology. WA's health minister says the matter has been referred to the state's Corruption and Crime Commission.
Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images
arXiv:2505.08886v2 Announce Type: replace Abstract: The rising incidence of skin cancer, coupled with limited public awareness and a shortfall in clinical expertise, underscores an urgent need for advanced diagnostic aids. Artificial Intelligence (AI) has emerged as a promising tool in this domain, particularly for distinguishing malignant from benign skin lesions. Leveraging publicly available datasets of skin lesions, researchers have been developing AI-based diagnostic solutions.
Velocity space origins of pressure-strain interaction in multi-population distributions and its application to magnetic reconnection
Announce Type: new Abstract: A forefront research question is how energy evolves in weakly collisional plasmas for which departures from local thermodynamic equilibrium (LTE) are significant. The standard approach is studying the terms in the non-LTE energy evolution equation derived by taking the second moment of the Boltzmann equation, but the resultant fluid metrics do not retain information about which particles at which velocities drive energy evolution. A widely studied channel for...
Experiment-free disruption prediction for new devices enabled by synthetic diagnostic data augmentation
arXiv:2606.08462v1 Announce Type: new Abstract: Deep learning based approaches have shown great promise in cross-device disruption prediction for tokamaks, however, the robustness of these models heavily relies on massive amounts of training data. For the upcoming ITER, to ensure the safety of the first plasma and subsequent operations, experimental data should be entirely unavailable initially, and disruptive discharges should be strictly avoided thereafter. This extreme data scarcity...
Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
arXiv:2509.05510v3 Announce Type: replace-cross Abstract: Continued progress in inertial confinement fusion (ICF) requires solving inverse problems relating experimental observations to simulation input parameters, followed by design optimization. However, such high-dimensional dynamic PDE-constrained optimization problems are extremely challenging or even intractable. It has been recently shown that inverse problems can be solved by only considering certain robust features.
Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
arXiv:2509.05510v3 Announce Type: replace Abstract: Continued progress in inertial confinement fusion (ICF) requires solving inverse problems relating experimental observations to simulation input parameters, followed by design optimization. However, such high-dimensional dynamic PDE-constrained optimization problems are extremely challenging or even intractable. It has been recently shown that inverse problems can be solved by only considering certain robust features.
Revisiting Model Stitching In the Foundation Model Era
arXiv:2603.12433v3 Announce Type: replace Abstract: Model stitching, connecting early layers of one model (source) to later layers of another (target) via a light stitch layer, has served as a probe of representational compatibility. Prior work finds that models trained on the same dataset remain stitchable (negligible accuracy drop) despite different initializations or objectives. We revisit stitching for Vision Foundation Models (VFMs) that vary in objectives, data, and modality mix (e.g.,...
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
arXiv:2412.06147v2 Announce Type: replace Abstract: For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) have started playing a significant role. By evaluating complex data from imaging, genetics, and behavioral assessments, these technologies have the potential to improve clinical results significantly. However, they also present unique challenges relating to data integration and ethical issues.