Results 161 to 170 of about 286,821 (329)

Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden, Charles Carron, Donatienne Van Weehaeghe, Joke De Vocht, Fouke Ombelet, Pegah Masrori, Caro De Weerdt, Rebecca E. James, Lauren T. Evans, Frederick A. Schroeder, Jacob M. Hooker, Michel Koole, Janice E. Kranz, Tonya M. Gilbert, Philip Van Damme, Koen Van Laere   +15 more
wiley   +1 more source

MSDiagnosis: A Benchmark for Evaluating Large Language Models in Multi-Step Clinical Diagnosis [PDF]

arXiv
Clinical diagnosis is critical in medical practice, typically requiring a continuous and evolving process that includes primary diagnosis, differential diagnosis, and final diagnosis. However, most existing clinical diagnostic tasks are single-step processes, which does not align with the complex multi-step diagnostic procedures found in real-world ...
arxiv  

Computer Generated Secondary Reports to Assist in Medical Diagnosis and Patient Management

, 1977
L.H. Larsen
openalex   +2 more sources

Nuclei‐Specific Amygdala Enlargement Is Linked to Psychiatric Comorbidities in Drug‐Resistant Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre, Julia Makhalova, Lisa Soncin, Elodie Garnier, Hugo Dary, Arnaud Le Troter, Roy A. M. Haast, Benoit Testud, Marie Arthuis, Samuel Medina Villalon, Stanislas Lagarde, Francesca Pizzo, Christian Bénar, Jean‐Philippe Ranjeva, Maxime Guye, Fabrice Bartolomei   +15 more
wiley   +1 more source

Using Deep Learning-Based Methods for Automated Segmentation of Soft Tissues From Shoulder Ultrasound Images

IEEE Access
Shoulder pain and injuries present significant challenges to researchers and clinicians for diagnosing underlying structural changes due to the complexity of the shoulder joint. Ultrasonography has been used for diagnosing shoulder impairment and can non-
Ying-Chun Lee, Chih-Yang Lin, Chia-Chun Hsiao, Pu-Chun Mo, Jiaqi Guo, Yih-Kuen Jan   +5 more
doaj   +1 more source

Computer assisted diagnosis with Medwise

Journal of the American College of Cardiology, 1991
J. Helder, P.L.M. Kerkhof
openaire   +2 more sources

Serotonergic and Dopaminergic Function in Neuropsychiatrically Asymptomatic People With HIV on Antiretroviral Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau, Anna Lyndaker, Swati Shah, Paul Wakim, Amelia Mitchell, Cynthia Monroe, Alan Kim, Tracy L. Cropper, Govind Nair, Joseph Snow, Bryan R. Smith, Avindra Nath, Dima A. Hammoud   +12 more
wiley   +1 more source

Computer-assisted data processing of pathogical diagnosis.

, 1992
Koushi Matsumoto, Hideki Sato, Syunji Ohtsuka, Nobutaka Yamada, Gorô Asano   +4 more
openalex   +2 more sources

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System

Bioengineering
Objective: We aim to construct an artificial intelligence (AI)-assisted nasal endoscopy diagnostic system capable of preliminary differentiation and identification of nasal neoplasia properties, as well as intraoperative tracking, providing an important ...
Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu   +13 more
doaj   +1 more source