Guidelines to minimize risk when dry needling the rectus capitus posterior major muscle.

Background: Headache disorders are prevalent often leading to disability. The rectus capitus posterior major muscle (RCPMaj) may contribute to headache symptoms via nociceptive convergence and myodural bridging.

Objectives: To establish guidelines for needle length and needle angle to mitigate risks during dry needling RCPMaj.

Exploring Dynamics and Intermolecular Interactions in Binary Mixtures of Reline and DMSO: An Investigation Using Nuclear Magnetic Resonance and Infrared Spectroscopic Techniques.

Reline, which is composed of choline chloride and urea in a molar ratio of 1:2, is the first and most extensively studied deep eutectic solvent (DES). In certain applications, reline is blended with organic solvents, dimethyl sulfoxide (DMSO) in most cases, to gain improved properties. Therefore, it is crucial to have a profound understanding of the impact of DMSO on the dynamics and structures of the species in the binary mixtures.

Prevalence of Pulmonary Embolism in COVID-19 Positive Critically Ill Children.

Objectives: To investigate the prevalence of pulmonary embolism (PE) in children admitted to critical care diagnosed with COVID-19 infection.

Design: Retrospective database study.

Setting: Data reported to the Virtual Pediatric Systems, 2018-2021.

Affective, Behavioral, and Cognitive Symptoms Associated With Focal Impaired Awareness (Complex Partial) Seizures: Evaluation and Treatment.

The Psychiatric Consultation Service at Massachusetts General Hospital sees medical and surgical inpatients with comorbid psychiatric symptoms and conditions. During their twice-weekly rounds, Dr Stern and other members of the Consultation Service discuss diagnosis and management of hospitalized patients with complex medical or surgical problems who also demonstrate psychiatric symptoms or conditions. These discussions have given rise to rounds reports that will prove useful for clinicians practicing at the interface of medicine and psychiatry.

Glaucoma detection and staging from visual field images using machine learning techniques.

Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.

Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.

Caregiver food allergy self-efficacy explains the relationship between perceived food allergy severity and burden.

Objective: Caregiver perceived food allergy severity is associated with food allergy burden, while caregiver food allergy self-efficacy has been linked to improved quality of life for caregivers. This study examined the mediating effect of caregiver food allergy self-efficacy on the relationship between perceived food allergy severity and caregiver food allergy burden.

Methods: Caregivers of children diagnosed with IgE-mediated food allergy were recruited from pediatric allergy clinics to complete demographic and medical questionnaires, the Food Allergy Independent Measure-Parent Form, the Food Allergy Self-Efficacy Scale for Parents, and the Food Allergy Quality of Life-Parental Burden.

Action potential-independent spontaneous microdomain Ca transients-mediated continuous neurotransmission regulates hyperalgesia.

Neurotransmitters and neuromodulators can be released via either action potential (AP)-evoked transient or AP-independent continuous neurotransmission. The elevated AP-evoked neurotransmission in the primary sensory neurons plays crucial roles in hyperalgesia. However, whether and how the AP-independent continuous neurotransmission contributes to hyperalgesia remains largely unknown.

Use of ChatGPT to Generate Informed Consent for Surgery in Urogynecology.

Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.

Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.

Effects of HMG CoA reductase (HMGCR) deficiency on skeletal muscle development.

Pathogenic variants in HMGCR were recently linked to a limb-girdle muscular dystrophy (LGMD) phenotype. The protein product HMG CoA reductase (HMGCR) catalyzes a key component of the cholesterol synthesis pathway. The two other muscle diseases associated with HMGCR, statin-associated myopathy (SAM) and autoimmune anti-HMGCR myopathy, are not inherited in a Mendelian pattern.

Predictors of willingness to participate in COVID-19 clinical trials among Black and Latino adults.

Introduction: Black and Latino individuals are underrepresented in COVID-19 treatment and vaccine clinical trials, calling for an examination of factors that may predict willingness to participate in trials.

Methods: We administered the Common Survey 2.0 developed by the Community Engagement Alliance (CEAL) Against COVID-19 Disparities to 600 Black and Latino adults in Baltimore City, Prince George's County, Maryland, Montgomery County, Maryland, and Washington, DC, between October and December 2021.

Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations.

Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.

Long Time Scale Molecular Dynamics Simulation of Magnesium Hydride Dehydrogenation Enabled by Machine Learning Interatomic Potentials.

Magnesium hydride (MgH) is a promising material for solid-state hydrogen storage due to its high gravimetric hydrogen capacity as well as the abundance and low cost of magnesium. The material's limiting factor is the high dehydrogenation temperature (over 300 °C) and sluggish (de)hydrogenation kinetics when no catalyst is present, making it impractical for onboard applications. Catalysts and physical restructuring (e.

Robotic-Assistance in Total Hip Arthroplasty Is Associated With Decreased Dislocation Rates.

Background: As the use of robotics in total hip arthroplasty (THA) continues to gain popularity, differences in clinical outcomes when compared to manual techniques have remained unclear. This study aimed to compare postoperative complications between patients undergoing robotic-assisted techniques and manual THA for primary osteoarthritis at 90 days, 1 year, and 2 years.

Methods: Using an all-payer national database, we identified 405,048 patients who underwent either robotic-assisted or manual THA for primary osteoarthritis.

Grappa - a machine learned molecular mechanics force field.

Simulating large molecular systems over long timescales requires force fields that are both accurate and efficient. In recent years, E(3) equivariant neural networks have lifted the tension between computational efficiency and accuracy of force fields, but they are still several orders of magnitude more expensive than established molecular mechanics (MM) force fields. Here, we propose Grappa, a machine learning framework to predict MM parameters from the molecular graph, employing a graph attentional neural network and a transformer with symmetry-preserving positional encoding.

Has COVID-19 affected the publication productivity of neurosurgeons in UK and Republic of Ireland? A bibliometric analysis.

Background: Our aim was to determine the impact of the COVID-19 pandemic on the publication productivity of neurosurgeons in the United Kingdom and Republic of Ireland.

Methods: Using bibliometric data we quantified and analysed the academic output of neurosurgeons in England, Scotland, Northern Ireland, Wales, and the Republic of Ireland, between two time periods i.e.

Morrey Award 2023: radial head donor plug for capitellum osteochondral autograft transfer: a cadaveric biomechanical analysis.

Background: Limitations to using the knee as donor cartilage include cartilage thickness mismatch and donor site morbidity. Using the radial head as donor autograft for capitellar lesions may allow for local graft harvest without distant donor site morbidity. The purpose of this study is to demonstrate the feasibility of performing local osteochondral autograft transfer from the nonarticular cartilaginous rim of the radial head to the capitellum.