Lawrence Tallon, chief executive at the Medicines and Healthcare products Regulatory Agency (Credit: MHRA)
The Medicines and Healthcare products Regulatory Agency (MHRA) and the National Institute for Health and Care Excellence (NICE) have secured…
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Background: Many individuals in urban low-income settings face barriers to engaging in primary care. The advancement of mobile health (mHealth) expands options for facilitating communication between primary care providers and clients. Objective: We conducted…
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Vision-language models (VLMs) show promise for answering clinically relevant questions, but their robustness to medical image artefacts remains unclear. We evaluated VLMs’ robustness through their performance on images with and without weak artefacts across…
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Introduction to Firstsource’s ISG Recognition
Firstsource Solutions Limited, a prominent global business process management services provider within the RP-Sanjiv Goenka Group portfolio, has achieved significant industry recognition by being designated as a ‘Leader’ in Digital…
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Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped impact. This…
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Careful selection of skin lesions that require expert evaluation is important for early skin cancer detection. Yet challenges include lack of cost-effective asymptomatic screening, geographical inequality in access to specialty dermatology, and long wait…
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Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a…
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NCQA is accepting public comments on the AI standards that it is proposing for its 2027 Health Plan Accreditation and Health Plan Ratings program. Patients, health plan stakeholders, healthcare professionals, state agencies, and…
Radiolucent foreign body aspiration (FBA) remains diagnostically challenging due to its subtle imaging signatures on chest CT scans, often leading to delayed or missed diagnoses. We present a deep learning model integrating MedpSeg, a…
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Electronic Health Records (EHRs) contain vast clinical data that are difficult for providers to synthesize. Generative AI with Large Language Models (LLMs) can summarize records to reduce cognitive burden, but ensuring accuracy requires reliable…
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