Latest AI and machine learning research in surgery for healthcare professionals.
Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to inefficient recognition of symptoms and thus, lack of early-diagnostic tools. The analysis of bowel sounds (BS) has been fundamental for GI diseases, however their long-term recordings require technical and clinical resources along with the patientt's motionless concurrence throughout the auscultation ...
Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by automatic interpretation algorithms. Recently many works also focused on the design of automatic ECG abnormality detection algorithms. However, clinical electrocardiogram datasets often suffer from their heavy needs for expert annotations, which are often expensive and hard t...
'We present the development of a soft robotic-inspired device for lower limb compression therapy with application in the treatment of lymphedema. This...
Palpation is a clinical diagnosis method utilized by physicians to acquire valuable information about the pathological condition of an organ using the...
Fine needle aspiration cytology requires accurate needle insertion into a tumor and sufficient amount collection of samples, which highly depends on t...
Automated medical skill assessment facilitates medical education by merging varying clinical experiences across instructors for standardizing medical ...
Pancreatic surgery is associated with a high risk for postoperative complications and death of patients. Complications occur in a variable interval af...
Surgical instrument segmentation is critical for the field of computer-aided surgery system. Most of deep-learning based algorithms only use either mu...
Convolutional neural networks are increasingly used in the medical field for the automatic segmentation of several anatomical regions on diagnostic an...
Longitudinal follicle tracking is needed in clinical practice for diagnosis and management in assisted reproduction. Follicles are tracked over the in...
Femur fractures due to traumatic forces often require surgical intervention. Such surgeries require alignment of the femur in the presence of large mu...
The electrical impedance tomography (EIT) technology is an important medical imaging approach to show the electrical characteristics and the homogenei...
One of the critical components of robotic-assisted beating heart surgery is precise localization of a point-of-interest (POI) position on cardiac surf...
Ultrasound (US) imaging is widely used to assist in the diagnosis and intervention of the spine, but the manual scanning process would bring heavy phy...
Robotic exoskeletons require human control and decision making to switch between different locomotion modes, which can be inconvenient and cognitively...
The rapid development of additive manufacturing technology makes it possible to fabricate a patient-specific surgical robot in a short time. To simpli...
The robotic-assisted percutaneous coronary intervention is an emerging technology with great potential to solve the shortcomings of existing treatment...
Robotic telesurgery systems, including master and slave robots, have emerged in recent years to provide benefits for both surgeons and patients. Surge...
The present work aims to introduce a novel robotic platform suitable for investigating perception in multi-sensory motion tasks for individuals with a...
Functional medical imaging systems can provide insights into brain activity during various tasks, but most current imaging systems are bulky devices t...