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Navigating the unseen peril: safeguarding medical imaging in the age of AI.
Front Artif Intell
December 2024
Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
In response to the increasing significance of artificial intelligence (AI) in healthcare, there has been increased attention - including a Presidential executive order to create an AI Safety Institute - to the potential threats posed by AI. While much attention has been given to the conventional risks AI poses to cybersecurity, and critical infrastructure, here we provide an overview of some unique challenges of AI for the medical community. Above and beyond obvious concerns about vetting algorithms that impact patient care, there are additional subtle yet equally important things to consider: the potential harm AI poses to its own integrity and the broader medical information ecosystem.
View Article and Find Full Text PDFTransforming the Medical School Admissions Process: Prioritizing Team-Based Skills and Patient-Centered Values.
J Med Educ Curric Dev
December 2024
Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, TX, USA.
This article examines the need for reform in medical school admissions to better align with the collaborative and patient-centered nature of contemporary healthcare. Traditional admissions processes prioritize academic excellence, often neglecting essential interpersonal and team-based skills. We advocate for several strategies to address this gap.
View Article and Find Full Text PDFWhy Mental Health Clinicians are Not Engaging in Advance Care Planning with Older People with Schizophrenia and Other Psychotic Illnesses.
Psychol Res Behav Manag
December 2024
Specialty of Psychiatry, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Purpose: To explore mental health clinicians' attitudes, experiences, and perceived barriers regarding Advance Care Planning (ACP) with older people (aged 55+) with schizophrenia/other psychotic illnesses.
Methods: Qualitative analysis of focus group interviews with multidisciplinary mental health clinicians from public mental health services in Sydney, Australia. A senior external clinician facilitated online focus groups exploring clinicians' attitudes, experiences, and perceived barriers to ACP using a semi-structured interview guide.
Econometric analysis of consumers' preference heterogeneity for yoghurt and ice cream products in Tanzania: A latent class model and mixed logit model.
Heliyon
December 2024
Department of Agricultural Economics and Agribusiness, College of Agricultural Economics and Business Studies, Sokoine University of Agriculture, P.O. Box 3007, Morogoro, Tanzania.
In Tanzania, a growing upper and middle classes, particularly among urbanites, exhibit distinct preferences for higher-quality processed foods, including dairy products. This study examines variations in consumer preferences and their willingness to pay for yogurt and ice cream, which serve as stand-ins for processed milk products. The analysis is based on a discrete choice experiment involving 400 participants in Dar es Salaam.
View Article and Find Full Text PDFPositive Predictive Value of Contrast-Enhanced Fluid-Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging in Diagnosis of Meningitis Among Pediatrics Taking Cerebrospinal Fluid Analysis as Gold Standard.
Cureus
November 2024
Department of Imaging and Radiology, The Children's Hospital Lahore, The University of Child Health Sciences, Lahore, PAK.
Background And Objective: Cerebrospinal fluid (CSF) analysis is the gold standard for meningitis diagnosis. It is invasive, time-consuming, and can inoculate infection. CSF analysis is not appropriate for many children without significant clinical suspicion, and delaying decision-making can have negative consequences.
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