AIMC Topic: Artificial Intelligence
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Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.
Nature communications
May 23, 2025
Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the therapeutic benefit of direct STING agonists appears limited. In this study, we use several artificial intelligence techniques and patient-based mult...
Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis.
JMIR cancer
May 23, 2025
BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.
Personalized cardiometabolic care powered by artificial intelligence.
Frontiers in endocrinology
May 23, 2025
Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving clinical practice and healthcare delivery. It is predicted by AI experts that healthcare will change more in the next decade than it has in the previou...
A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling.
PloS one
May 23, 2025
In recent years, empowered by artificial intelligence technologies, computer-assisted language learning systems have gradually become a hot topic of research. Currently, the mainstream pronunciation assessment models rely on advanced speech recogniti...
The hermeneutic window and machine-based interactions in primary care: how do we prevent depersonalisation?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Digital technologies are transforming healthcare delivery by enhancing accessibility and providing innovative ways to manage increasing patient demand. With the rise of artificial intelligence (AI) and machine learning (ML), a tsunami of ...
Artificial intelligence in primary care: a plausible prospect or distant delusion?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Artificial intelligence (AI) offers an innovative means of changing primary care, yet the impressions of primary care professionals (PCPs) on this potentially revolutionary resource remains unclear.
Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications.
Computer methods and programs in biomedicine
May 21, 2025
BACKGROUND AND OBJECTIVE: Visual-language foundation models (VLMs) have garnered attention for their numerous advantages and significant potential in AI-aided diagnosis and treatment, driving widespread applications in medical tasks. This study analy...
Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.
Journal of medical Internet research
May 21, 2025
BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing and exchanging health care data. At the same time, image-based artificial intelligence (AI) models for quantifying relevant body structures and organs...
Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.
Aquatic toxicology (Amsterdam, Netherlands)
May 20, 2025
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...
Galar - a large multi-label video capsule endoscopy dataset.
Scientific data
May 20, 2025
Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, representation of small bowel), but faces many limitations as well (time-consuming analysis, short battery lifetime, and poor image quality). Artificial inte...
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