Biocompatible Electrospun Hydrogel Fibers for Advanced Wound Healing Therapies.

Wound healing is a complex cascade and is governed through a number of crucial factors. Conventional wound dressing possesses numerous limitations which hinder wound healing process and may result in serious infections and even mortality. A lot of effort have been put in through researchers to develop a multifaceted dressing which can address these limitations and facilitate accelerated wound healing.

Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI) approaches in increasing diagnostic accuracy for the detection and classification of lymph nodes, but implementation of many of these approaches in real-world clinical settings would necessitate an automated lymph node segmentation pipeline as a first step. In this study, we aim to develop a non-invasive deep learning (DL) algorithm for detecting and automatically segmenting cervical lymph nodes in 25,119 CT slices from 221 normal neck contrast-enhanced CT scans from patients without head and neck cancer.

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Deep neural networks (DNNs) have been widely used in many artificial intelligence (AI) tasks. However, deploying them brings significant challenges due to the huge cost of memory, energy, and computation. To address these challenges, researchers have developed various model compression techniques such as model quantization and model pruning.

Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges.

Introduction: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved oncologic care through more precise diagnosis, increasingly in a more personalized and less invasive manner.

Improving transparency and representational generalizability through parallel continual learning.

This paper takes a parallel learning approach in continual learning scenarios. We define parallel continual learning as learning a sequence of tasks where the data for the previous tasks, whose distribution may have shifted over time, are also available while learning new tasks. We propose a parallel continual learning method by assigning subnetworks to each task, and simultaneously training only the assigned subnetworks on their corresponding tasks.

Multidimensional management of a vascular injury following total knee arthroplasty: A rare case report.

Acute vascular injury during total knee arthroplasty (TKA) is an extremely rare complication, but one which can have devastating consequences threatening the limb and/or life of the patient if not diagnosed and managed at the earliest. The clinical presentation can vary from acute haemorrhage or ischemia in the peri operative period; to a delayed presentation of recurrent swelling and pain secondary to a geniculate or popliteal artery pseudoaneurysm. This is the first reported case of an acute inferolateral genicular artery haemorrhage following TKA and the associated medical complications.

Application of stain of methylene blue as a diagnostic aid in the early detection and screening of oral cancerous and precancerous lesions.

Background: Periodic clinical examination of the oral cavity is the mainstay for the early detection of oral cancers which can be further aided by screening individuals with high-risk factors that will identify candidates who should receive treatment to prevent cancer progression and reduce patient mortality. Among the diagnostic tools, staining is advocated as a simple, inexpensive and fairly sensitive method.

Materials And Methods: The present study involved the examination of fifty patients suspected of oral malignant or precancerous lesions by methylene blue staining.

Push-out bond strength of different endodontic obturation material at three different sites - study.

Background: The key to success of any root canal therapy is adequate obturation of the prepared root canal space. Root canal sealers are not dimensionally stable and might dissolve partially over a period of time. The objective of this study is to evaluate the push-out bond strength to intraradicular dentin of two endodontic obturation materials.

Fibrofascitis - An Enigma for the Dentist: A Case Report.

Fibromyalgia is a chronic syndrome that causes widespread musculoskeletal pain and stiffness throughout the connective tissues that support and move the bones and joints. Pain and localized tender points occur in the muscles, particularly those that support the neck, spine, shoulders, and hips. Moreover the disorder includes fatigue, depression, sleep disturbances and constipation.

Analgesic efficacy of acetaminophen for controlling postextraction dental pain.

Background: Considering the clinical safety of acetaminophen over other nonsteroidal anti-inflammatory drugs, this clinical trial was formulated to assess the analgesic efficacy of acetaminophen for controlling postextraction dental pain when compared to commonly prescribed ibuprofen.

Aim: The aim was to assess the analgesic efficacy of paracetamol/acetaminophen in postextraction dental pain.

Settings And Design: Double-blind, randomized prospective clinical trial.