Latest AI and machine learning research in surveys for healthcare professionals.
There has been an increasing demand for robotic coil positioning during repetitive transcranial magnetic stimulation (rTMS) treatment. Accurate coil positioning is crucial because rTMS generally targets specific brain regions for both research and clinical application with other reasons such as safety, consistency and reliability and individual variablity. Some previous studies have employed indus...
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These present themselves as inhomogeneous signal intensity and contrast, which is regarded as a "bias field" to the ideal image. Current bias field correction methods, such as the N4 algorithm, assume a low frequency bias field, which is not sufficiently valid for T2w images at 7 T. In this work we propose a ...
Regulators are faced with many challenges surrounding health data usage, including privacy, fragmentation, validity, and generalizability, especially ...
The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS training has lagged behind. The launch of new robotic pl...
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with...
The class of doubly robust (DR) functionals studied by Rotnitzky et al. (2021) is of central importance in economics and biostatistics. It strictly in...
(1) Background: A robot in care for older adults requires solid research confirming its acceptance. The aim of this study was to present the Polish ve...
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the healthcare sector. This review considers twelve key aspects of A...
The increasing use of automation in cellular assays and cell culture presents significant opportunities to enhance the scale and throughput of imaging...
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively to prevent harm. ChatGPT presents pot...
Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has never been explored in literature. We report the f...
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic treatment planning, although its reliability has ...
Semi-supervised learning is becoming an effective solution in medical image segmentation because annotations are costly and tedious to acquire. Method...
This study focused on the development and initial psychometric evaluation of a set of online, webcam-collected, and artificial intelligence-derived pa...
Longevity with localized prostate cancer (PCa) has been achieved, and the contribution of robot-assisted radical prostatectomy (RARP) to cancer contro...
Urinary incontinence is one of the main concerns for patients after radical prostatectomy. Differences in surgical experience among surgeons could par...
Application of artificial intelligence (AI) has revolutionized the utilization of big data, especially in patient care. The potential of deep learning...
Semi-supervised learning (SSL) has demonstrated remarkable advances on medical image classification, by harvesting beneficial knowledge from abundant ...
Despite the expert-level performance of artificial intelligence (AI) models for various medical imaging tasks, real-world performance failures with di...
Performance analysis based on artificial intelligence together with game-related statistical models aims to provide relevant information before, durin...