AIMC Topic: Prospective Studies
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.
Journal of magnetic resonance imaging : JMRI
Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Machine Learning
Prospective Studies
Retrospective Studies
Female
Breast
Reproducibility of Results
Image Interpretation, Computer-Assisted
Aged
Diffusion Magnetic Resonance Imaging
Adult
Humans
Contrast Media
Magnetic Resonance Imaging
Diagnosis, Differential
Area Under Curve
Breast Neoplasms
Radiomics
Middle Aged
Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?
The Journal of thoracic and cardiovascular surgery
Nov 4, 2023
OBJECTIVES: The goal of this study was to improve decision making regarding the transfusion of patients at the end of extracorporeal circulation for cardiac surgery through machine learning predictions of the evolution of platelets counts, prothrombi...
The 2022 Banff Meeting Lung Report.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Nov 4, 2023
The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff, Alberta-focused on non-rejection lung allograft pathology and novel technologies for the detection of allograft injury. A multidisciplinary panel rev...
Quantitative image signature and machine learning-based prediction of outcomes in cerebral cavernous malformations.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Nov 4, 2023
PURPOSE: There is increasing interest in novel prognostic tools and predictive biomarkers to help identify, with more certainty, cerebral cavernous malformations (CCM) susceptible of bleeding if left untreated. We developed explainable quantitative-b...
Optimized 3D brachial plexus MR neurography using deep learning reconstruction.
Skeletal radiology
Nov 2, 2023
OBJECTIVE: To evaluate whether 'fast,' unilateral, brachial plexus, 3D magnetic resonance neurography (MRN) acquisitions with deep learning reconstruction (DLR) provide similar image quality to longer, 'standard' scans without DLR.
Patients' Trust in Artificial Intelligence-based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial.
European urology focus
Nov 1, 2023
BACKGROUND: Artificial intelligence (AI) has the potential to enhance diagnostic accuracy and improve treatment outcomes. However, AI integration into clinical workflows and patient perspectives remain unclear.
Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study.
International journal of surgery (London, England)
Nov 1, 2023
BACKGROUND: Preoperative evaluation of the metastasis status of lateral lymph nodes (LNs) in papillary thyroid cancer is challenging. Strategies for using deep learning to diagnosis of lateral LN metastasis require additional development and testing....
Conversational artificial intelligence (chatGPT™) in the management of complex colorectal cancer patients: early experience.
ANZ journal of surgery
Oct 31, 2023
INTRODUCTION: In 2022 chatGPT™ (OpenAI, San Francisco) was introduced to the public. The complex reasoning and the natural language processing (NLP) ability of the AI platform has generated much excitement about the potential applications. This study...
A prospective phase II clinical trial/IDEAL Stage 2a series of single-port robotic colorectal surgery for abdominal and transanal cases.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Oct 31, 2023
AIM: Slow laparoscopy adoption accelerated the uptake of robotic surgery. However, the current robotic platforms have limitations in transanal applications and multiple port sites. The da Vinci single-port (SP) robot is currently used on trial for co...
Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.
Cerebrovascular diseases (Basel, Switzerland)
Oct 26, 2023
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Drugs, Chinese Herbal
China
Functional Status
Aged
Multicenter Studies as Topic
Time Factors
Humans
Acute Disease
Adult
Cerebral Hemorrhage
Treatment Outcome
Prospective Studies
Disability Evaluation
Male
Recovery of Function
Double-Blind Method
Middle Aged
Female
Randomized Controlled Trials as Topic
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