[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
Simple biomarkers to distinguish Parkinson's disease from its mimics in clinical practice: a comprehensive review and future directions
A Quattrone, M Zappia, A Quattrone - Frontiers in Neurology, 2024 - frontiersin.org
In the last few years, a plethora of biomarkers have been proposed for the differentiation of
Parkinson's disease (PD) from its mimics. Most of them consist of complex measures, often …
Parkinson's disease (PD) from its mimics. Most of them consist of complex measures, often …
Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences
W López-Ojeda, RA Hurley - The Journal of Neuropsychiatry …, 2023 - Am Neuropsych Assoc
FIGURE 2. Progression of electronic large language model (LLM) technology. 1.
Transformer models are probably the basic infrastructure for these technologies (1). 2 …
Transformer models are probably the basic infrastructure for these technologies (1). 2 …
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease
Dopamine transporter (DAT) imaging is commonly used for monitoring Parkinson's disease
(PD), where striatal DAT uptake amount is computed to assess PD severity. However, DAT …
(PD), where striatal DAT uptake amount is computed to assess PD severity. However, DAT …