Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, Saumyadipta Pyne
Using conditional generative adversarial networks to reduce the effects of latency in robotic telesurgery.
In Journal of robotic surgery
Sachdeva Neil, Klopukh Misha, Clair Rachel St, Hahn William Edward
Conditional generative adversarial networks, Image segmentation, Medical image, Remote surgery, Robotic surgery
Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept.
In European radiology ; h5-index 62.0
KEY POINTS :
Martini K, Baessler B, Bogowicz M, Blüthgen C, Mannil M, Tanadini-Lang S, Schniering J, Maurer B, Frauenfelder T
Artificial intelligence, Pulmonary fibrosis, Systemic sclerosis
In Journal of digital imaging
EXPERIMENTAL DESIGN :
Yan Mengmeng, Wang Weidong
Lung cancer, Machine learning, Radiomics, Radiotherapy
Technical note: preliminary insight into a new method for age-at-death estimation from the pubic symphysis.
In International journal of legal medicine
Castillo Andrés, Galtés Ignasi, Crespo Santiago, Jordana Xavier
Age-at-death estimation, Age-related traits, Forensic collection, Machine learning, Pubic symphysis, Scoring system
Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection.
Watanabe Yoshiyuki, Tanaka Takahiro, Nishida Atsushi, Takahashi Hiroto, Fujiwara Masahiro, Fujiwara Takuya, Arisawa Atsuko, Yano Hiroki, Tomiyama Noriyuki, Nakamura Hajime, Todo Kenichi, Yoshiya Kazuhisa
Computed tomography, Deep learning, Diagnosis, Efficacy, Intracranial haemorrhage, Retrospective