A Review of Machine Learning-Assisted Gas Sensor Arrays in Medical Diagnosis. [PDF]
Yu Y +6 more
europepmc +1 more source
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji +13 more
wiley +1 more source
Evaluation of deep learning tools in medical diagnosis and treatment of cancer: research analysis of clinical and randomized clinical trials. [PDF]
Hodeify R.
europepmc +1 more source
Medical Diagnosis Reimagined as a Process of Bayesian Reasoning and Elimination. [PDF]
Ananda Rao A, Awale M, Davis S.
europepmc +1 more source
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
An IoT based remote medical diagnosis system using one time pad cipher over MQTT protocol. [PDF]
Kumar NR +5 more
europepmc +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Editorial: Plasmonic Technologies for Bioanalytical Applications
Sebastian Wachsmann-Hogiu +2 more
doaj +1 more source
Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis. [PDF]
Yan L, Li Q, Fu K, Zhou X, Zhang K.
europepmc +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source

