AIMC Topic: Prospective Studies

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[Research progress and prospects of artificial intelligence in diagnosis and treatment of colorectal cancer].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sus...

Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAW...

Automatic detection of thyroid nodules with a real-time artificial intelligence system in a real clinical scenario and the associated influencing factors.

Clinical hemorheology and microcirculation
BACKGROUND: At present, most articles mainly focused on the diagnosis of thyroid nodules by using artificial intelligence (AI), and there was little research on the detection performance of AI in thyroid nodules.

Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.

Radiology. Artificial intelligence
This prospective exploratory study conducted from January 2023 through May 2023 evaluated the ability of ChatGPT to answer questions from Brazilian radiology board examinations, exploring how different prompt strategies can influence performance usin...

Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans.

Radiology. Artificial intelligence
Purpose To compare the effectiveness of weak supervision (ie, with examination-level labels only) and strong supervision (ie, with image-level labels) in training deep learning models for detection of intracranial hemorrhage (ICH) on head CT scans. M...

The changes in bladder function and symptoms after robot-assisted sacrocolpopexy and transvaginal mesh surgery for pelvic organ prolapse.

Taiwanese journal of obstetrics & gynecology
OBJECTIVE: This study is aimed to compare the impact on bladder function and symptoms between robotic sacrocolpopexy (RSC) and transvaginal mesh surgery (TVM) in women with pelvic organ prolapse.

Diabetic Retinopathy Diagnosis based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study.

Current diabetes reviews
BACKGROUND: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of the leading causes of vision impairment globally, which is also relevant for the Russian Federation.

Deep Learning-reconstructed Parallel Accelerated Imaging for Knee MRI.

Current medical imaging
BACKGROUND: Deep learning (DL) can improve image quality by removing noise from accelerated MRI.