AIMC Topic: Reproducibility of Results
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A generalised computer vision model for improved glaucoma screening using fundus images.
Eye (London, England)
Nov 5, 2024
IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. A novel, computer vision-based model for glaucoma screening using fundus images co...
Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality.
Journal of patient-reported outcomes
Nov 5, 2024
PURPOSE: To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of...
Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review.
Journal of dentistry
Nov 4, 2024
OBJECTIVES: To provide an overview of artificial intelligence (AI) applications in orthodontic diagnosis and treatment planning, and to evaluate whether AI improves accuracy, reliability, and time efficiency compared to expert-based manual approaches...
Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis.
Nature medicine
Nov 4, 2024
Metabolic dysfunction-associated steatohepatitis (MASH) is a major cause of liver-related morbidity and mortality, yet treatment options are limited. Manual scoring of liver biopsies, currently the gold standard for clinical trial enrollment and endp...
Using machine learning to classify temporomandibular disorders: a proof of concept.
Journal of applied oral science : revista FOB
Nov 4, 2024
BACKGROUND: the escalating influx of patients with temporomandibular disorders and the challenges associated with accurate diagnosis by non-specialized dental practitioners underscore the integration of artificial intelligence into the diagnostic pro...
Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App.
Journal of medical Internet research
Nov 1, 2024
BACKGROUND: Scoliosis is a spinal deformity in which one or more spinal segments bend to the side or show vertebral rotation. Some artificial intelligence (AI) apps have already been developed for measuring the Cobb angle in patients with scoliosis. ...
Pioneering diabetes screening tool: machine learning driven optical vascular signal analysis.
Biomedical physics & engineering express
Nov 1, 2024
The escalating prevalence of diabetes mellitus underscores the critical need for non-invasive screening tools capable of early disease detection. Present diagnostic techniques depend on invasive procedures, which highlights the need for advancement o...
Is ChatGPT-4 a Reliable Tool in Autoimmune Hepatitis?
The American journal of gastroenterology
Oct 31, 2024
INTRODUCTION: Artificial intelligence-based chatbots offer a potential avenue for delivering personalized counseling to patients with autoimmune hepatitis. We assessed accuracy, completeness, comprehensiveness, and safety of Chat Generative Pretraine...
ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022.
Journal of atherosclerosis and thrombosis
Oct 30, 2024
AIMS: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy and reproducibility of responses by ChatGPT to clinical questions (CQs) in the Japan Atherosclerosis Society Guidelines for Prevention Atherosclerotic C...
Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 29, 2024
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from daily activities. The goal of thi...
Reproducibility of Results
Hypokinesia
Aged
Tremor
Sensitivity and Specificity
Humans
Dyskinesias
Machine Learning
Parkinson Disease
Male
Video Recording
Feasibility Studies
Algorithms
Equipment Design
Middle Aged
Monitoring, Ambulatory
Activities of Daily Living
Female
Wearable Electronic Devices
Accelerometry
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