Current medical AI articles
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Age-Related Attitudes Toward AI Cognitive Assessment Tools
Original Title: Biomarkers Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association DOI: 10.1002/alz70856_101023 Overview This research examines how different age groups perceive artificial intelligence in the context of healthcare, specifically focusing on a cognitive assessment tool named CognoSpeak. The study utilized a mixed-methods approach involving 95 participants for an online survey and…
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Supervised Contrastive Learning for Lacune Detection in MRI
Original Title: Biomarkers Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association DOI: 10.1002/alz70856_099645 Overview Lacunes are small, deep brain infarcts that indicate vascular disease and increase the risk of cognitive decline. Detecting these features manually is time-consuming and prone to error due to their small size and similarity to other structures like…
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Efficient Evidential Deep Learning for Atomic Potentials
Original Title: Evidential deep learning for interatomic potentials Journal: Nature communications DOI: 10.1038/s41467-025-67663-y Overview Molecular dynamics simulations are essential for understanding physical and chemical processes at the atomic level. Machine learning interatomic potentials have emerged as an efficient tool to achieve the accuracy of first-principles calculations with significantly reduced computational costs. However, the reliability of…
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AI, Mobile Tech, and Social Media for Health in Africa
Original Title: Scoping review of artificial intelligence via mobile technology and social media for health in Africa Journal: Nature communications DOI: 10.1038/s41467-025-64766-4 Overview This scoping review investigates the integration of artificial intelligence with mobile technology and social media to address health challenges in Africa. Following the PRISMA approach, researchers screened 469 articles published between 2014…
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Assessing Parkinson’s Gait via Smartphone Video and AI
Original Title: Deep learning-enabled accurate assessment of gait impairments in Parkinson's disease using smartphone videos Journal: NPJ digital medicine DOI: 10.1038/s41746-025-02150-8 Overview Parkinson's disease affects millions globally, with gait impairments serving as a primary source of disability. Traditional assessment relies on the Unified Parkinson’s Disease Rating Scale, which is often subjective and lacks the sensitivity…
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Reform Strategies for Medicare Physician Payment Stability
Original Title: How AI Will Help Solve Medicine's Productivity Challenges Journal: JAMA health forum DOI: 10.1001/jamahealthforum.2025.6647 Overview This analysis examines the mechanisms of the Medicare Physician Fee Schedule and the impact of budget neutrality requirements on physician reimbursement. Between 2001 and 2024, inflation-adjusted payments for physicians declined by 29 percent. Unlike other Medicare providers, physician…
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Robust CRC Diagnosis via Causal and Uncertainty-Aware AI
Original Title: Uncertainty-aware and causal test-time adaptive foundation model for robust colorectal cancer pathology diagnosis Journal: NPJ digital medicine DOI: 10.1038/s41746-025-02149-1 Overview Colorectal cancer remains a major global health challenge, requiring precise histopathological analysis for effective treatment. While computational pathology has advanced with the use of large-scale foundation models, these systems frequently encounter obstacles when…
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Automating Expert-Level Medical Reasoning Evaluation for AI
Original Title: Automating expert-level medical reasoning evaluation of large language models Journal: NPJ digital medicine DOI: 10.1038/s41746-025-02208-7 Overview Large language models increasingly assist in clinical decision-making, yet their internal reasoning processes often remain opaque. Current evaluation methods frequently rely on multiple-choice question accuracy, which fails to capture whether a model reached a correct conclusion through…
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Evaluating AI and Human Performance in Spinal Surgery SSI
Original Title: A Commentary on "Artificial Intelligence-Based Prediction Model for Surgical Site Infection in Metastatic Spinal Disease: a Multicenter Development and Validation Study" Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003123 Overview The commentary evaluates a multicenter study that developed a gradient boosting machine learning model to predict surgical site infection in metastatic spinal…
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Prognostic AI for Glioblastoma: A Methodological Critique
Original Title: Letter to the editor: deep learning-based radiomics and machine learning for prognostic assessment in IDH-wildtype glioblastoma after maximal safe surgical resection: a multicenter study Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003221 Overview This letter to the editor discusses a multicenter study conducted by Liu and colleagues, which utilized deep learning-based radiomics…