AIMC Topic: Prospective Studies

Clear Filters Showing 2261 to 2270 of 2510 articles

Artificial Intelligence: An Emerging Intellectual Sword for Battling Carcinomas.

Current pharmaceutical biotechnology
Artificial Intelligence (AI) is a branch of computer science that deals with mathematical algorithms to mimic the abilities and intellectual work performed by the human brain. Nowadays, AI is being effectively utilized in addressing difficult healthc...

Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review.

The Indian journal of medical research
BACKGROUND & OBJECTIVES: Artificial intelligence (AI) and machine learning (ML) have shown promising results in cancer diagnosis in validation tests involving retrospective patient databases. This study was aimed to explore the extent of actual use o...

[Not Available].

Ugeskrift for laeger
INTRODUCTION: The use of abbreviations in patient records in Danish hospitals is extensive. The purpose of this study was to investigate the use of abbreviations, how they affect the comprehension, and how much time was saved writing abbreviations.

May Dual Transcranial Direct Current Stimulation Enhance the Efficacy of Robot-Assisted Therapy for Promoting Upper Limb Recovery in Chronic Stroke?

Neurorehabilitation and neural repair
OBJECTIVE: To assess whether dual transcranial direct current stimulation (tDCS) may enhance the efficacy of exoskeleton robotic training on upper limb motor functions in patients with chronic stroke.

Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI.

Korean journal of radiology
OBJECTIVE: This study aimed to evaluate the usefulness of quantitative indices obtained from deep learning analysis of gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and their longitudinal changes in predicting decompensation and death in pati...

Artificial Intelligence for Outcome Modeling in Radiotherapy.

Seminars in radiation oncology
Outcome modeling plays an important role in personalizing radiotherapy and finds applications in specialized areas such as adaptive radiotherapy. Conventional outcome models that are based on a simplified understanding of radiobiological effects or e...

Deep Learning-based Outcome Prediction in Progressive Fibrotic Lung Disease Using High-Resolution Computed Tomography.

American journal of respiratory and critical care medicine
Reliable outcome prediction in patients with fibrotic lung disease using baseline high-resolution computed tomography (HRCT) data remains challenging. To evaluate the prognostic accuracy of a deep learning algorithm (SOFIA [Systematic Objective Fib...

Intensity control of robot-assisted gait training based on biometric data: Preliminary study.

Medicine
OBJECTIVE: This study is aimed to compare the effect of robot-assisted gait training when the intensity is controlled using patients' biometric data to when controlled by therapist's subjective judgment.

Impact of artificial intelligence on pathologists' decisions: an experiment.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The accuracy of artificial intelligence (AI) in medicine and in pathology in particular has made major progress but little is known on how much these algorithms will influence pathologists' decisions in practice. The objective of this pape...

A systematic review of robot-assisted cholecystectomy to examine the quality of reporting in relation to the IDEAL recommendations: systematic review.

BJS open
INTRODUCTION: Robotic cholecystectomy (RC) is a recent innovation in minimally invasive gallbladder surgery. The IDEAL (idea, development, exploration, assessment, long-term study) framework aims to provide a safe method for evaluating innovative pro...