Post COVID glaucoma service redesign utilising electronic patient triage and community optometry clinics (Fife, Scotland 2020-2022).

Background: COVID-19 caused a huge backlog of patients in glaucoma clinics. This study describes redesign of an entire glaucoma service with electronic patient triage to three levels and utilisation of the Scottish optometry infrastructure of upskilled optometrists.

Methods: 2276 patients in glaucoma clinics were identified and triaged to three levels in keeping with Glauc-strat-fast guidance with local amendments.

Emulation of the subjective experience of visual dorsal stream dysfunction: a description of three in depth case studies.

These case studies explore the subjective visual experiences of individuals with cerebral visual impairment (CVI), specifically dorsal stream dysfunction (DSD) characterized by simultanagnosia. Through three in-depth case studies, this work documents the challenges these individuals face when navigating cluttered environments. The individuals were asked to describe their visual experiences while watching videos of varying complexity, with the future aim of creating a simulation of simultanagnosia.

Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery.

Introduction: Tumor boards are a cornerstone of modern cancer treatment. Given their advanced capabilities, the role of Large Language Models (LLMs) in generating tumor board decisions for otorhinolaryngology (ORL) head and neck surgery is gaining increasing attention. However, concerns over data protection and the use of confidential patient information in web-based LLMs have restricted their widespread adoption and hindered the exploration of their full potential.

Patient Support in Obstructive Sleep Apnoea by a Large Language Model - ChatGPT 4o on Answering Frequently Asked Questions on First Line Positive Airway Pressure and Second Line Hypoglossal Nerve Stimulation Therapy: A Pilot Study.

Purpose: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and second line hypoglossal nerve stimulation (HGNS) therapy.

Methods: Seventeen questions, each regarding PAP and HGNS therapy, were posed to ChatGPT-4o.

Hiding in plain sight: children with visual perceptual difficulties in schools.

Cerebral visual impairment (CVI) is increasingly being recognized as a significant cause of visual difficulties in children, particularly those with typical visual acuity, who nonetheless struggle in educational settings. This narrative review aims to elucidate the nature and impact of visual perceptual difficulties (VPD) associated with CVI in school-aged children, who often remain undiagnosed due to the current erroneous focus on visual acuity as a required diagnostic criterion for CVI. The review synthesizes findings from recent studies, highlighting that up to 3.

Chasing sleep physicians: ChatGPT-4o on the interpretation of polysomnographic results.

Background: From a healthcare professional's perspective, the use of ChatGPT (Open AI), a large language model (LLM), offers huge potential as a practical and economic digital assistant. However, ChatGPT has not yet been evaluated for the interpretation of polysomnographic results in patients with suspected obstructive sleep apnea (OSA).

Aims/objectives: To evaluate the agreement of polysomnographic result interpretation between ChatGPT-4o and a board-certified sleep physician and to shed light into the role of ChatGPT-4o in the field of medical decision-making in sleep medicine.

Assessing unknown potential-quality and limitations of different large language models in the field of otorhinolaryngology.

Background: Large Language Models (LLMs) might offer a solution for the lack of trained health personnel, particularly in low- and middle-income countries. However, their strengths and weaknesses remain unclear.

Aims/objectives: Here we benchmark different LLMs (Bard 2023.

Urology consultants versus large language models: Potentials and hazards for medical advice in urology.

Background: Current interest surrounding large language models (LLMs) will lead to an increase in their use for medical advice. Although LLMs offer huge potential, they also pose potential misinformation hazards.

Objective: This study evaluates three LLMs answering urology-themed clinical case-based questions by comparing the quality of answers to those provided by urology consultants.

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case-Based Questions.

Background: Large language models (LLMs), such as ChatGPT (Open AI), are increasingly used in medicine and supplement standard search engines as information sources. This leads to more "consultations" of LLMs about personal medical symptoms.

Objective: This study aims to evaluate ChatGPT's performance in answering clinical case-based questions in otorhinolaryngology (ORL) in comparison to ORL consultants' answers.

Coupled Nanomechanical Graphene Resonators: A Promising Platform for Scalable NEMS Networks.

Arrays of coupled nanoelectromechanical resonators are a promising foundation for implementing large-scale network applications, such as mechanical-based information processing and computing, but their practical realization remains an outstanding challenge. In this work, we demonstrate a scalable platform of suspended graphene resonators, such that neighboring resonators are persistently coupled mechanically. We provide evidence of strong coupling between neighboring resonators using two different tuning methods.

The status and outcomes of interprofessional health education in sub-Saharan Africa: A systematic review.

The increasing burden of chronic diseases, and shortage of health care workers especially in Low and Middle Income countries (LMICs) requires greater collaborative working between health professions. There is a growing body of evidence that interprofessional education (IPE) and interprofessional continuous education (IPCE) can improve collaborative practice thus strengthening health care delivery in low resource settings. The World Health Organization (WHO) promotes this educational strategy in these regions as part of wider programs to improve health care.

Interprofessional Arclight eye health workshop: impact on students' clinical identification and ophthalmic skills.

Visual impairment and blindness affect an estimated 2.2 billion people worldwide. Accessible low-cost diagnostic tools and interprofessional education and collaborative practice are part of ongoing strategies to improve eye care services.

Comparative evaluation of a new frugal binocular indirect ophthalmoscope.

Objectives: We compare the optical quality and design characteristic a new low cost solar powered binocular indirect ophthalmoscope (BIO), Holo, to Keeler BIO.

Methods: Twenty-four participants each examined 10 simulation eyes using both the Holo and the Keeler BIO with a 30-diopter condensing lens. Number of Lea symbols printed on the retina of simulation eyes seen and time taken to identify them was recorded.

Comparative evaluation of a low-cost solar powered otoscope with a traditional device among health care workers in Malawi.

Objectives: To comparatively evaluate a low-cost otoscope with a traditional device among health care workers in Malawi.

Methods: The study is a prospective, comparative, qualitative observational survey of health care worker's opinions using 5-point Likert rating scales and tick box categories in a 10-item survey questionnaire. Twenty-five mixed cadre health care workers from the Ear, Nose, and Throat Department of the Queen Elizabeth Hospital, Blantyre in Malawi were recruited.

Cataract risk stratification and prioritisation protocol in the COVID-19 era.

Background: The COVID-19 pandemic halted non-emergency surgery across Scotland. Measures to mitigate the risks of transmitting COVID-19 are creating significant challenges to restarting all surgical services safely. We describe the development of a risk stratification tool to prioritise patients for cataract surgery taking account both specific risk factors for poor outcome from COVID-19 infection as well as surgical 'need'.

Cataract Surgery Redesign: Meeting Increasing Demand, Training, Audit and Patient-Centered Care.

Objective: The demand for cataract surgery in Fife (a well-defined region in southeast Scotland) was steadily increasing over 15 years. Cataract surgery was therefore being outsourced to meet demand with consequences on list mix, training needs, patient experience and staff morale. We aimed to redesign our services to meet local demand, retain a patient-centered service and continue to fulfil training needs.

Identification of amblyogenic risk factors with the Brückner reflex test using the low-cost Arclight direct ophthalmoscope.

Background/objectives: The Arclight is a novel, low-cost, solar-powered direct ophthalmoscope developed for low resource settings as an alternative to more expensive, conventional devices. The Brückner reflex test (BRT) is a quick and effective means to screen for eye disease and amblyogenic risk factors. This test is however rarely performed in low resource settings due to the lack of access to ophthalmoscopes and trained health care workers.

Evaluation of a pilot interprofessional Arclight™ workshop for healthcare students in Rwanda: promoting collaborative practice in eye health.

Preventable and treatable visual impairment affects more than 1 billion people worldwide. Rwanda has an estimated visual impairment prevalence of 3.7% amongst the 12 million inhabitants.

Nonvolatile Rewritable Frequency Tuning of a Nanoelectromechanical Resonator Using Photoinduced Doping.

Arrays of nanoelectromechanical resonators (NEMS) have shown promise for a suite of applications, from nanomechanical information processing technologies to mass spectrometry. A fundamental challenge toward broader adoption of NEMS arrays is a lack of viable frequency tuning methods, which must simultaneously allow for persistent and reversible control of single resonators while also being scalable to large arrays of devices. In this work, we demonstrate an electro-optic tuning method for graphene-based NEMS where locally photoionized charge tensions a suspended membrane and tunes its resonance frequency.