diabetes mellitus (T2DM) and inflammatory bowel disease (IBD) represent a high-risk population with competing comorbidities, complex medication regimens, and overlapping inflammatory pathways. Although the role of sodium-glucose co-transporter-2 (SGLT2) inhibitors in managing type 2 diabetes is well-established, their impact on outcomes in diabetic patients with coexisting IBD remains unclear. This study aimed to investigate the… Continue reading Hospitalization, ICU admission, and mortality among diabetic patients with inflammatory bowel disease receiving SGLT-2 inhibitors: a retrospective cohort study from the global collaborative network
Tag: practice
Healthcare Resource Utilization and Use of Biologics in Chronic Spontaneous Urticaria
Biologic therapies have emerged as effective treatments for chronic spontaneous #urticaria (CSU), a debilitating skin disease. However, real-world data on their use are limited. This retrospective descriptive study analyzes the time from diagnosis to biologic therapy initiation and the CSU-specific healthcare resource utilization (HCRU) among patients with ≥ 2 urticaria diagnoses or one urticaria and… Continue reading Healthcare Resource Utilization and Use of Biologics in Chronic Spontaneous Urticaria
Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study
Background: The financial burden and the uncertain response of the anti-vascular endothelial growth factor (anti-VEGF) treatment often cause hesitation among patients with neovascular age-related #macular degeneration (nAMD), highlighting the need for a reliable method to predict treatment outcomes. We aimed to develop and validate a deep learning model that can predict the visual and anatomical… Continue reading Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study
Psychiatry is not the science of unhappiness
#Psychiatry risks losing its conceptual boundaries as the scope of its concern expands to include all forms of human unhappiness. This editorial argues that the discipline must distinguish clearly between illness and adversity, recognising that not all suffering is pathological. Drawing on historical and contemporary debates - from Jaspers' foundational dualism to Engel's biopsychosocial model,… Continue reading Psychiatry is not the science of unhappiness
Understanding #Migration Intentions of Albanian #Physicians and Nurses
Introduction: Migration from Albanian healthcare professionals to Western countries has been widespread since Albania emerged from communism in 1991. The migration of Albanian physicians and nurses has significant impacts on the country's healthcare system.Objective: The manuscript addresses the migration intentions of Albanian healthcare professionals, including #physicians and nurses focusing on their inclination to emigrate to… Continue reading Understanding #Migration Intentions of Albanian #Physicians and Nurses
Human– #AI collectives most accurately #diagnose #clinical vignettes
Large language models (LLMs) have great potential for high-stakes applications such as medical diagnostics but face challenges including hallucinations, biases, and lack of common sense. We address these limitations through a hybrid human–AI system that combines physicians’ expertise with LLMs to generate accurate differential medical diagnoses. Analyzing over 2,000 text-based medical case vignettes, hybrid collectives… Continue reading Human– #AI collectives most accurately #diagnose #clinical vignettes
#Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
PurposeThis study sought to explore the practical application and effectiveness of AI-generated responses in healthcare and compared these with human clinician responses to complex medical queries in the USA and Australia. The study identifies strengths and limitations of AI in clinical settings and offers insights into its potential to enhance healthcare delivery.Design/methodology/approachA comparative analysis used… Continue reading #Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
Importance The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.Objective To understand clinician experience before and after implementing ambient AI.Design, Setting, and Participants This quality improvement study was a pilot evaluation with before and after survey and EHR metrics conducted… Continue reading Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
Sociodemographic #biases in medical decision making by large language models
Large language models (LLMs) show promise in healthcare, but concerns remain that they may produce medically unjustified clinical care recommendations reflecting the influence of patients’ sociodemographic characteristics. We evaluated nine LLMs, analyzing over 1.7 million model-generated outputs from 1,000 emergency department cases (500 real and 500 synthetic). Each case was presented in 32 variations (31… Continue reading Sociodemographic #biases in medical decision making by large language models
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