Latest AI and machine learning research in orthopedics for healthcare professionals.
Development of new antimicrobial agents is a good solution to overcome drug-resistance problems. From this perspective, new quinoxaline derivatives bearing various bioactive heterocyclic moieties (thiadiazoles, oxadiazoles, pyrazoles and thiazoles) were designed and synthesized. The newly synthesized compounds were evaluated for their in vitro antibacterial activity against nine bacterial human pa...
Hand detection is essential for many hand related tasks, e.g., recovering hand pose and understanding gesture. However, hand detection in uncontrolled environments is challenging due to the flexibility of wrist joint and cluttered background. We propose a convolutional neural network (CNN), which formulates in-plane rotation explicitly to solve hand detection and rotation estimation jointly. Our n...
Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for i...
Bone perfusion evaluation methods in cadaver studies have yet to be established. The aim of this report was to introduce and validate the feasibility ...
OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of ...
A 37-year-old woman presented with progressive longitudinal erythronychia and onychorrhexis of the toenails. She had a history of sarcoidosis of the l...
The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it leads to the blindness. Regular screening for early DR...
Nanobiotechnology has been emerged as an efficient technology for the development of antimicrobial nanoparticles through an eco-friendly approach. In ...
Purpose To compare the performance of a deep-learning bone age assessment model based on hand radiographs with that of expert radiologists and that of...
The present study is devoted to prepare a new antibacterial and antifungal agent based on in situ-synthesized silver nanoparticles at room temperature...
Wearable soft robotic systems are enabling safer human-robot interaction and are proving to be instrumental for biomedical rehabilitation. In this man...
Accurate quantification of uptake on PET images depends on accurate attenuation correction in reconstruction. Current MR-based attenuation correction ...
Humans show a great natural ability at interacting with each other. Such efficiency in joint actions depends on a synergy between planned collaboratio...
BACKGROUND: Orthopedic patients are at risk for adverse postoperative cardiovascular outcomes.
Osteoporosis is a common bone disease which often leads to fractures. Clinically, the major challenge for the automatic diagnosis of osteoporosis is t...
As robots begin to interact with humans and operate in human environments, safety becomes a major concern. Conventional robots, although reliable and ...
Soft robotic actuators offer many advantages over their rigid counterparts, but they often are unable to apply highly localized point loads. In contra...
Escape and surveillance responses to predators are lateralized in several vertebrate species. However, little is known on the laterality of escapes an...
OBJECTIVE: The hand-eye calibration is used to determine the transformation between the end-effector and the camera marker of the robot. But the robot...
We propose a robust Alternating Low-Rank Representation (ALRR) model formed by an alternating forward-backward representation process. For forward rep...