Latest AI and machine learning research in dermatology for healthcare professionals.
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in laparoscopic colorectal resection to prevent umbilical wound infection. We performed a retrospective evaluation of the incidence of umbilical wound infection using this technique for patients with colorectal cancer. From 2010 to 2014, 178 consecutive patients underwent elective laparoscopic resection of...
BACKGROUND: Acne scarring remains a difficult problem for patients and physicians. Often it is treated as a two-dimensional disease with lasers and similar devices, whereas it is really a three-dimensional problem. Fillers have been used for many years but recently fillers with more lifting potential have been made available and serve the purpose of the selective elevation of atrophic scars, addin...
MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally important for cancer identification. We propose a meth...
A new sequence of pyrazole derivatives (1-6) was synthesized from condensation technique under utilizing ultrasound irradiation. Synthesized compounds...
Cancer is one of the most life-threatening diseases and mutations in several genes are the vital cause in tumorigenesis. Protein kinases play essentia...
Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-density lipoprotein (HDL), plays a vital role in revers...
BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesion measurement and inappropriate stent length sele...
Telerobotic systems enable humans to explore and manipulate remote environments for applications such as surgery and disaster response, but few such s...
Supervised learning methods promise to improve integrated testing strategies (ITS), but must be adjusted to handle high dimensionality and dose-respon...
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most common lesion in adults with treatment-resistant epil...
This paper presents a sparse representation and an adaptive dictionary learning based method for automated classification of multiple sclerosis (MS) l...
When estimating age, human experts can provide privileged information that encodes the facial attributes of aging, such as smoothness, face shape, fac...
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanoma...
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" va...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one of the most striking manifestations. Although it c...
Postinflammatory hyperpigmentation (PIH) is an acquire hypermelanosis after cutaneous inflammation and injury. The aim of the present study was to inv...
The present investigation deals with the prediction of the performance of simultaneous anaerobic sulfide and nitrate removal in an upflow anaerobic sl...
BACKGROUND: Radiology reports are usually narrative, unstructured text, a format which hinders the ability to input report contents into decision supp...
This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocyt...
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms ...