AI Medical Compendium Topic:
Prospective Studies

Clear Filters Showing 951 to 960 of 2255 articles

A Primer into the Current State of Artificial Intelligence in Gastroenterology.

Journal of gastrointestinal and liver diseases : JGLD
Artificial intelligence (AI) is not a new idea or field of research. However, recent advancements in computing technology as well as increasing worldwide experience in applying AI to various fields have enabled us to hope that applying it to the medi...

Use of deep learning-based radiomics to differentiate Parkinson's disease patients from normal controls: a study based on [F]FDG PET imaging.

European radiology
OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's disease (PD) based on [F]fluorodeoxyglucose (FDG) PET images.

Conversion rates in robotic thyroid surgery: A systematic review and meta-analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS
OBJECTIVE: To define the conversion risk to open procedure during robot-assisted thyroid surgery (RATS) identifying potential specific subclasses of procedures or accesses at higher conversion risk.

Liver Attenuation Assessment in Reduced Radiation Chest Computed Tomography.

Journal of computer assisted tomography
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) measurements in reduced radiation computed tomography (RRCT) of the chest within the sub-millisievert range.

Beyond standard data collection - the promise and potential of BRAIN (Brain tumour Registry Australia INnovation and translation registry).

BMC cancer
BACKGROUND: Real-world data (RWD) is increasingly being embraced as an invaluable source of information to address clinical and policy-relevant questions that are unlikely to ever be answered by clinical trials. However, the largely unrealised potent...

Machine Learning in Health Promotion and Behavioral Change: Scoping Review.

Journal of medical Internet research
BACKGROUND: Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years...

Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study.

PloS one
BACKGROUND: Dental prostheses, which aim to replace missing teeth and to restore patients' appearance and oral functions, should be biomimetic and thus adopt the occlusal morphology and three-dimensional (3D) position of healthy natural teeth. Since ...

Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.

Parasite (Paris, France)
Malaria diagnosis based on microscopy is impaired by the gradual disappearance of experienced microscopists in non-endemic areas. Aside from the conventional diagnostic methods, fluorescence flow cytometry technology using Sysmex XN-31, an automated ...

Development of practical triage methods for critical trauma patients: machine-learning algorithm for evaluating hybrid operation theatre entry of trauma patients (THETA).

European journal of trauma and emergency surgery : official publication of the European Trauma Society
PURPOSE: Hybrid operating rooms benefit patients with severe trauma but have a prerequisite of significant resources. This paper proposes a practical triage method to determine patients that should enter the hybrid operating room considering a limite...

Robotic left hemicolectomy with intracorporeal anastomosis: Description of the technique and initial results.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: The aim was to describe the robot-assisted intracorporeal anastomosis technique in left colon surgery (rLCS) and report the initial results.