View clinical trials related to Computer-Assisted.
Filter by:Technological advances have influenced the approach to implant treatment. One of the fields presently experiencing rapid development is static computer-assisted guided surgery (sCAIS), which allows transfer of the virtual implant planning to the mouth of the patient, based on the use of a surgical guide. In sCAIS there is a deviation between the virtually planned implant position and the actual position of the implant placed during surgery. A recent review analyzed only fully guided implants and recorded a mean coronal horizontal deviation (CHD) of 1.12 mm (standard deviation [SD] = 0.08), a mean apical horizontal deviation (AHD) of 1.41 mm (SD = 0.1), a mean vertical deviation (VD) of 0.12 mm (SD = 0.23), and a mean angular deviation (AD) of 3.58º (SD = 0.2). The aim of the present study was to compare the accuracy of CAD-CAM and conventional guides in candidates for distal free-end implant treatment, and to analyze the effects of possible confounding factors inherent to the patient or the surgical technique employed.A prospective, controlled and blinded quasi-experimental study was carried out involving 27 patients with 76 implants distributed into two groups according to the surgical guide manufacturing approach used: conventional (control group [CG]) or CAD-CAM (test group [TG]). The implants were planned virtually with the planning software, and the surgical guides were manufactured. Fully guided implant placement was carried out, and the deviations were measured along with other secondary variables as potential confounding factors.
The goal of this clinical trail is to non-invasively visualise and quantitatively validate an radiomics model of genetic heterogeneity in adult patients with diffuse glioma to help clinicians better guide surgical resection and treatment options. It aims to answer are: 1. To overcome the limitations of the existing genetic diagnostic process in terms of equipment and technology requirements, high costs and long timelines, and to enable quantitative studies of isocitrate dehydrogenase 1 (IDH1) mutations, thus allowing refined patient stratification and further exploration of the role of molecular markers in improving patient prognosis. 2. To achieve non-invasive diagnosis of gene mutations within tumours by taking advantage of artificial intelligence and medical images, and to test the clinical feasibility of the model through typical target puncture, gene sequencing and quantitative gene expression analysis. Participants will read an informed consent agreement before surgery and voluntarily decide whether or not to join the experimental group. They will undergo preoperative magnetic resonance imaging, intraoperative brain puncture of typical tumour sites, and postoperative genotype identification. Their imaging data, genotype data, clinical history data, and pathology data will be used for the experimental study.
Single-center, unblinded, 2:1 parallel pseudo-randomized efficacy trial. In the intervention group only, resident physicians will be assisted by the automated medical history-taking device "Diaana" during their consultations in outpatient ambulatory unit of the Geneva University Hospital. In both groups, the differential diagnosis of the resident physician will be compared to the gold-standard diagnosis of the senior physician.
Single-center, unblinded, 1:1 parallel pseudo-randomized efficacy trial. In the intervention group only, resident physicians will be assisted by the automated medical history-taking device "Diaana" during their consultations in outpatient ambulatory unit of the Geneva University Hospital. In both groups, the differential diagnosis of the resident physician will be compared to the gold-standard differential diagnosis of the senior physician.
There is a lack of evidence of the impact of the information provided in the introduction screen on the students diagnostic and therapeutic decisions. The reasoning pattern may also be altered if positive findings are provided to the student without an active request for it. The results will be of importance when virtual patients are used for assessing students.