Latest AI and machine learning research in plastic surgery for healthcare professionals.
BACKGROUND: Advances in deep learning (DL) have been transformative in computer vision and natural language processing, as well as in healthcare. The authors present a novel application of DL to plastic surgery. Here, the authors describe and demonstrate the mobile deployment of a deep neural network that predicts rhinoplasty status, assess model accuracy compared to surgeons, and describe future ...
The need to integrate aspects of functional, psychosocial and cosmetic impairment into medical care is increasingly accepted among the physicians and the patients. For these reasons, single-port robotic surgery emerges as the most advanced approach using the technology. In this study, authors used a new robotic dissector with monopolar electrocautery feature in order to determine the device's safe...
Within the last 10 years there have been significant advances in minimal-access surgery. Although no emerging technology has demonstrated improved out...
BACKGROUND: Nonsurgical aesthetic treatments are usually preferred by patients because their effects are visible immediately after the treatment and p...
Glass-free three-dimensional (3D) endoscopic provide excellent depth perception without decreasing light quality and fog formation. Herein we report o...
Soft tissue robotics found its trigger for success in minimally invasive surgery. The minimization of the surgical damage is more obvious as the surgi...
Among various surgical methods introduced to optimize esthetic results, robotic surgery has gradually expanded in scope. As incision, approach, and op...
Gastric cancer constitutes a major health problem. Robotic surgery has been progressively developed in this field. Although the feasibility of robotic...
The natural control of robotic prosthetic hands with non-invasive techniques is still a challenge: myoelectric prostheses currently give some control ...
Use of laboratory animals for systemic toxicity testing is subject to strong ethical and regulatory constraints, but few alternatives are yet availabl...
An in silico method for predicting percutaneous absorption of cosmetic ingredients was developed by using artificial neural network (ANN) analysis to ...
During the past years, a rapid development and refinements of robotic heart valve techniques have led to consider robotic mitral valve (MV) surgery sa...
BACKGROUND: Robotic-assisted surgery has increased in popularity in recent years. Benefits have been observed for both the patient and hospital system...
Questions of saving of the patient's blood and limitation of the use of donated blood in the aortic surgery remain relevant in contrast with intervent...
INTRODUCTION: The continuous evolution of laparoscopic surgery and the ambition of better cosmetic results raise the need for less invasive procedures...