George A. Akingba

Collaboration with a robotic scrub nurse

Surgeons use hand gestures and/or voice commands without interrupting the natural flow of a procedure.

Evidence for nonoperative management of acute limb ischemia in infants

Acute limb ischemia (ALI) in infants is a catastrophic event. We performed a query of our database to determine those with ALI. Twelve patients were identified. The most frequent presentation was cyanotic limbs. Eleven patients were treated nonoperatively with anticoagulation. One patient was treated surgically with Fogarty balloon thrombectomy. There were three deaths all due to associated comorbidities. All had viable limbs on follow-up examination. There were three complications in the patients managed conservatively. Our recommendation for infants presenting with ALI is conservative observation with anticoagulation and intervention only for cases with tissue loss.

A Cyber-Physical Management System for Delivering and Monitoring Surgical Instruments in the OR

Background. The standard practice in the operating room (OR) is having a surgical technician deliver surgical instruments to the surgeon quickly and inexpensively, as required. This human “in the loop” system may result in mistakes (eg, missing information, ambiguity of instructions, and delays). Objective. Errors can be reduced or eliminated by integrating information technology (IT) and cybernetics into the OR. Gesture and voice automatic acquisition, processing, and interpretation allow interaction with these new systems without disturbing the normal flow of surgery. Methods. This article describes the development of a cyber-physical management system (CPS), including a robotic scrub nurse, to support surgeons by passing surgical instruments during surgery as required and recording counts of surgical instruments into a personal health record (PHR). The robot used responds to hand signals and voice messages detected through sophisticated computer vision and data mining techniques. Results. The CPS was tested during a mock surgery in the OR. The in situ experiment showed that the robot recognized hand gestures reliably (with an accuracy of 97%), it can retrieve instruments as close as 25 mm, and the total delivery time was less than 3 s on average. Conclusions. This online health tool allows the exchange of clinical and surgical information to electronic medical record–based and PHR-based applications among different hospitals, regardless of the style viewer. The CPS has the potential to be adopted in the OR to handle surgical instruments and track them in a safe and accurate manner, releasing the human scrub tech from these tasks.

Does a robotic scrub nurse improve economy of movements

Objective: Robotic assistance during surgery has been shown to be a useful resource to both augment the surgical skills of the surgeon through tele-operation, and to assist the surgeon handling the surgical instruments to the surgeon, similar to a surgical tech. We evaluated the performance and effect of a gesture driven surgical robotic nurse in the context of economy of movements, during an abdominal incision and closure exercise with a simulator. Methods: A longitudinal midline incision (100 mm) was performed on the simulated abdominal wall to enter the peritoneal cavity without damaging the internal organs. The wound was then closed using a blunt needle ensuring that no tissue is caught up by the suture material. All the instruments required to complete this task were delivered by a robotic surgical manipulator directly to the surgeon. The instruments were requested through voice and gesture recognition. The robotic system used a low end range sensor camera to extract the hand poses and for recognizing the gestures. The instruments were delivered to the vicinity of the patient, at chest height and at a reachable distance to the surgeon. Task performance measures for each of three abdominal incision and closure exercises were measured and compared to a human scrub nurse instrument delivery action. Picking instrument position variance, completion time and trajectory of the hand were recorded for further analysis. Results: The variance of the position of the robotic tip when delivering the surgical instrument is compared to the same position when a human delivers the instrument. The variance was found to be 88.86% smaller compared to the human delivery group. The mean task completion time to complete the surgical exercise was 162.7± 10.1 secs for the human assistant and 191.6± 3.3 secs (P<.01) when using the robotic standard display group. Conclusion: Multimodal robotic scrub nurse assistant improves the surgical procedure by reducing the number of movements (lower variance in the picking position). The variance of the picking point is closely related to the concept of economy of movements in the operating room. Improving the effectiveness of the operating room can potentially enhance the safety of surgical interventions without affecting the performance time.