Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning.

Nailfold Capillaroscopy (NFC) is a simple, non-invasive diagnostic tool used to detect microvascular changes in nailfold. Chronic pathological changes associated with a wide range of systemic diseases, such as diabetes, cardiovascular disorders, and rheumatological conditions like systemic sclerosis, can manifest as observable microvascular changes in the terminal capillaries of nailfolds. The current gold standard relies on experts performing manual evaluations, which is an exhaustive time-intensive, and subjective process.

Fusion of Color Correction and HSV Segmentation Techniques for Automated Segmentation of Acute Lymphoblastic Leukemia.

This article presents an enhanced segmentation methodology for the accurate detection of acute lymphoblastic leukemia (ALL) in blood smear images. The proposed approach integrates color correction techniques with HSV color space segmentation to improve white blood cell analysis. Our method addresses common challenges in microscopic image processing, including sensor nonlinearity, uneven illumination, and color distortions.

Machine Learning Algorithms Predict Long-Term Postoperative Opioid Misuse: A Systematic Review.

Introduction: A steadily rising opioid pandemic has left the US suffering significant social, economic, and health crises. Machine learning (ML) domains have been utilized to predict prolonged postoperative opioid (PPO) use. This systematic review aims to compile all up-to-date studies addressing such algorithms' use in clinical practice.

Using AI to Detect Pain through Facial Expressions: A Review.

Pain assessment is a complex task largely dependent on the patient's self-report. Artificial intelligence (AI) has emerged as a promising tool for automating and objectifying pain assessment through the identification of pain-related facial expressions. However, the capabilities and potential of AI in clinical settings are still largely unknown to many medical professionals.

Aging increases the risk of flap necrosis in murine models: A systematic review.

Background And Aim: Although a natural phenomenon, aging is a degenerative condition that promotes cellular malfunction and subsequent organ and body dysfunction. According to the World Health Organization, the elderly are the fastest growing age group worldwide. A 2012 population report stated that 43.

Local anti-inflammatory effect and immunomodulatory activity of chitosan-based dressing in skin wound healing: A systematic review.

Background And Aim: Wound healing is a complex process comprised of several distinct phases. An imbalance in any of the stages creates a chronic wound with the potential to cause life-threatening complications for patients. Chitosan (CS) is a biopolymer that has shown to positively impact the different healing phases.

Small Bowel Obstruction Conservatively Managed in Hospital-At-Home.

In 2020, Mayo Clinic established an Advanced Care at Home (ACH) program. ACH is a virtual hybrid hospital-at-home (HaH) program that combines telemedicine with in-home care services by utilizing a state that is software-driven, vendor-mediate medical supply chain. The program initially focused on acute medical diagnosis but has expanded to oversee surgical and postsurgical patients with continued inpatient needs.

Virtual and Augmented Reality in Management of Phantom Limb Pain: A Systematic Review.

Upper and lower limb amputations are frequently associated with phantom limb pain (PLP). Recently, virtual reality (VR) and augmented reality (AR) have been reported as a potential therapy of PLP. We have conducted a systematic review of literature to evaluate the efficacy of VR and AR in managing PLP.

Systemic anti-inflammatory effects of mesenchymal stem cells in burn: A systematic review of animal studies.

Background: Despite the advances in burn care, severe burns still impose significant morbidity and mortality. Severe burns are associated with an inflammatory response that ranges from alterations in vital signs to shock, multiorgan failure, and death. Mesenchymal stem cells (MSCs) are known for their anti-inflammatory and immunomodulatory effects.

Phase estimation for investigating the optical and mechanical properties of Monocryl suture for soft tissue approximation and ligation.

Monocryl is a bio-absorbable suture composed of a polyglycolide and poly-epsiloncaprolactone copolymer material and is considered a promising candidate for soft tissues approximation. Consequently, the physical, mechanical, and morphological properties are essential for the surgeons to select the suitable suture for their surgical perform. In this article, Mach Zehnder interferometer equipped with a mechanical drawing device are used for evaluating the mechanical properties and a better understanding of how the Monocryl suture reacts to loading.

Adaptive investigation of the optical properties of polymer fibers from mixing noisy phase shifting microinterferograms using deep learning algorithms.

In this article, an adaptive denoising method is suggested to accurate investigate the optical and structural features of polymeric fibers from noisy phase shifting microinterferograms. The mixed class of noise that may produce in the phase-shifting interferometric techniques is established. To our knowledge, this is an early study considered the mixing noises that may occur in microinterferograms.

Single-shot digital holography for fast measuring optical properties of fibers.

We propose a fast method for measuring optical properties, e.g., the refractive index profile and birefringence, of fibers.