[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

C Jimenez-Mesa, JE Arco, FJ Martinez-Murcia… - Pharmacological …, 2023 - Elsevier
The integration of positron emission tomography (PET) and single-photon emission
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 …

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 …

A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease

WA Al, ID Yun, YJ Bae - arXiv preprint arXiv:2404.11929, 2024 - arxiv.org
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 …