AIMC Topic: Surgery, Computer-Assisted

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Evaluation of the accuracy of semi-autonomous robotic system versus dynamic navigation in completely edentulous implant surgery: an in vitro study.

BMC oral health
BACKGROUND: This study compared the accuracy (defined by trueness and precision) of implant placement between a semi-autonomous robotic system (SARS) and a dynamic navigation system (DNS) in completely edentulous models, evaluating the influence of a...

Precise path planning for robot-assisted craniotomy: a CT-driven virtual center method.

Biomedical physics & engineering express
. Craniotomy is a critical prerequisite for numerous neuro-surgeries, including intracranial tumor resection and cerebral hemorrhage decompression. However, conventional manual craniotomy methods are often time-consuming, labor-intensive, and associa...

Segmenting beyond the imaging data: creation of anatomically valid edentulous mandibular geometries for surgical planning using artificial intelligence.

Clinical oral investigations
BACKGROUND AND OBJECTIVES: Mandibular reconstruction following continuity resection due to tumor ablation or osteonecrosis remains a significant challenge in maxillofacial surgery. Virtual surgical planning (VSP) relies on accurate segmentation of th...

A Deep Learning-Based Fully Automated Vertebra Segmentation and Labeling Workflow.

British journal of hospital medicine (London, England : 2005)
Spinal disorders, such as herniated discs and scoliosis, are highly prevalent conditions with rising incidence in the aging global population. Accurate analysis of spinal anatomical structures is a critical prerequisite for achieving high-precision ...

Revolutionizing spine surgery with emerging AI-FEA integration.

Journal of robotic surgery
This study explores the integration of artificial intelligence (AI) and finite element analysis (FEA) in spine surgery, highlighting their complementary roles across preoperative planning, intraoperative execution, and postoperative outcome predictio...

Advancements in deep learning for image-guided tumor ablation therapies: a comprehensive review.

Progress in biomedical engineering (Bristol, England)
Image-guided tumor ablation (IGTA) has revolutionized modern oncological treatments by providing minimally invasive options that ensure precise tumor eradication with minimal patient discomfort. Traditional techniques such as ultrasound (US), compute...

Hybrid pneumatic-hydraulic actuation for MRI-guided robotic stereotactic neurointervention.

Science advances
Stereotactic neurointervention is a common procedure for biopsy, injection, ablation, and implantation of electrodes for deep brain stimulation. Guided by preoperative imaging, conventional approaches are mostly performed manually, lacking operation ...

Surgical augmented reality registration methods: A review from traditional to deep learning approaches.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Augmented Reality (AR) has gained significant interest within the research community in the past two decades. In surgery, AR overlays critical information directly onto the surgeon's visual field, thus enhancing situational awareness by providing nav...

Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.

Journal of robotic surgery
Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeutic outcomes. This systematic review evaluates the evolution, current clinical applications, and future prospects of robotic systems in ophthalmology. ...

AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Scientific reports
Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due to its steep learning curve. This study explores the potential of artificial intelligence (AI) in assisting the performance of major MILS by providing ...