AIMC Topic: Prospective Studies
Clear Filters Showing 691 to 700 of 2403 articles
Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.
The Canadian journal of cardiology
Dec 11, 2023
BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of heart failure; however, a cost-effective tool for asymptomatic LVD screening has not been well validated. We aimed to prospectively validate an artifici...
Diagnosing lagophthalmos using artificial intelligence.
Scientific reports
Dec 8, 2023
Lagophthalmos is the incomplete closure of the eyelids posing the risk of corneal ulceration and blindness. Lagophthalmos is a common symptom of various pathologies. We aimed to program a convolutional neural network to automatize lagophthalmos diagn...
ARCHERY: a prospective observational study of artificial intelligence-based radiotherapy treatment planning for cervical, head and neck and prostate cancer - study protocol.
BMJ open
Dec 7, 2023
INTRODUCTION: Fifty per cent of patients with cancer require radiotherapy during their disease course, however, only 10%-40% of patients in low-income and middle-income countries (LMICs) have access to it. A shortfall in specialised workforce has bee...
Explainable artificial intelligence model for the detection of geographic atrophy using colour retinal photographs.
BMJ open ophthalmology
Dec 6, 2023
OBJECTIVE: To develop and validate an explainable artificial intelligence (AI) model for detecting geographic atrophy (GA) via colour retinal photographs.
Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound.
Journal of medical ultrasonics (2001)
Dec 5, 2023
PURPOSE: Contrast-enhanced ultrasound (CEUS) shows different enhancement patterns depending on the time after administration of the contrast agent. The aim of this study was to evaluate the diagnostic performance of liver nodule characterization usin...
How Can the Clinical Aptitude of AI Assistants Be Assayed?
Journal of medical Internet research
Dec 5, 2023
Large language models (LLMs) are exhibiting remarkable performance in clinical contexts, with exemplar results ranging from expert-level attainment in medical examination questions to superior accuracy and relevance when responding to patient queries...
Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study.
Biomedical engineering online
Dec 4, 2023
BACKGROUND: This systematic review and meta-analysis were conducted to objectively evaluate the evidence of machine learning (ML) in the patient diagnosis of Intracranial Hemorrhage (ICH) on computed tomography (CT) scans.
Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning.
EBioMedicine
Dec 2, 2023
BACKGROUND: Molecular diagnosis is crucial for biomarker-assisted glioma resection and management. However, some limitations of current molecular diagnostic techniques prevent their widespread use intraoperatively. With the unique advantages of ultra...
Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
European radiology experimental
Dec 1, 2023
BACKGROUND: We developed models for tumor segmentation to automate the assessment of total tumor volume (TTV) in patients with colorectal liver metastases (CRLM).
Robot-assisted radical prostatectomy using the avatera system™: a prospective pilot study.
Minerva urology and nephrology
Nov 28, 2023
BACKGROUND: Robot-assisted radical prostatectomy is a minimally invasive, safe procedure preferred in the management of localized prostate cancer. In this study, we present our initial experience with the avatera system (avateramedical GmbH, Jena, Ge...
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