Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in Artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …
grappling with time constraints and excessive workloads, which can compromise the quality …
Artificial intelligence in Parkinson's disease: early detection and diagnostic advancements
A Reddy, RP Reddy, AK Roghani, RI Garcia… - Ageing Research …, 2024 - Elsevier
Parkinson's disease (PD) is the second most common neurodegenerative disorder, globally
affecting men and women at an exponentially growing rate, with currently no cure. Disease …
affecting men and women at an exponentially growing rate, with currently no cure. Disease …
Artificial intelligence models in the diagnosis of adult-onset dementia disorders: A review
Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …
world, is accompanied by the increased incidence of several non-transmittable diseases …
Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment
Tauopathies are a category of neurodegenerative diseases characterized by the presence
of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally …
of abnormal tau protein-containing neurofibrillary tangles (NFTs). NFTs are universally …
[HTML][HTML] Meeting the moment: addressing barriers and facilitating clinical adoption of artificial intelligence in medical diagnosis
Clinical diagnosis is essentially a data curation and analysis activity through which clinicians
seek to gather and synthesize enough pieces of information about a patient to determine …
seek to gather and synthesize enough pieces of information about a patient to determine …
[PDF][PDF] Artificial intelligence-assisted repair of peripheral nerve injury: a new research hotspot and associated challenges
Y Guo, L Sun, W Zhong, N Zhang… - Neural Regeneration …, 2023 - journals.lww.com
Artificial intelligence can be indirectly applied to the repair of peripheral nerve injury.
Specifically, it can be used to analyze and process data regarding peripheral nerve injury …
Specifically, it can be used to analyze and process data regarding peripheral nerve injury …
The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers
Digital pathology (DP) has transformative potential, especially for Alzheimer disease and
related disorders. However, infrastructure barriers may limit adoption. To provide …
related disorders. However, infrastructure barriers may limit adoption. To provide …
[HTML][HTML] Diagnostic efficacy and clinical relevance of artificial intelligence in detecting cognitive decline
AA Mohamed, O Marques - Cureus, 2023 - ncbi.nlm.nih.gov
Cognitive impairment is an age-associated disorder of increasing prevalence as the aging
population continues to grow. Classified based on the level of cognitive decline, memory …
population continues to grow. Classified based on the level of cognitive decline, memory …
Distribution of alpha‐synuclein in rat salivary glands
T Nishitani, Y Mitoh, T Yajima, D Tachiya… - The Anatomical …, 2024 - Wiley Online Library
Expression of alpha‐synuclein (Syn), a presynaptic neuronal protein, was
immunohistochemically examined in intact rat submandibular, sublingual, and lingual …
immunohistochemically examined in intact rat submandibular, sublingual, and lingual …
Unpaired Modality Translation for Pseudo Labeling of Histology Images
A Boschet, A Collin, N Katoch… - MICCAI Workshop on Deep …, 2024 - Springer
The segmentation of histological images is critical for various biomedical applications, yet
the lack of annotated data presents a significant challenge. We propose a microscopy …
the lack of annotated data presents a significant challenge. We propose a microscopy …