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 …

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 …

Artificial intelligence models in the diagnosis of adult-onset dementia disorders: A review

G Battineni, N Chintalapudi, MA Hossain, G Losco… - Bioengineering, 2022 - mdpi.com
Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …

Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment

GA Marx, DG Koenigsberg, AT McKenzie… - Acta Neuropathologica …, 2022 - Springer
Tauopathies are a category of neurodegenerative diseases characterized by the presence
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

J Adler-Milstein, N Aggarwal, M Ahmed… - NAM …, 2022 - ncbi.nlm.nih.gov
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 …

[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 …

The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers

R Scalco, Y Hamsafar, CL White III… - … of Neuropathology & …, 2023 - academic.oup.com
Digital pathology (DP) has transformative potential, especially for Alzheimer disease and
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 …

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 …

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 …