Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 51 to 60 of 156,510 articles
Multiomic integration reveals subtype-specific predictors of neoadjuvant treatment response in breast cancer.
Science advances
Jul 4, 2025
Neoadjuvant therapy has been widely used in breast cancer, but treatment response varies among individuals. We conducted multiomic profiling on tumor samples from 149 Chinese patients with breast cancer across ERHER2, ERHER2, and ERHER2 subtypes, cat...
Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.
Scientific reports
Jul 4, 2025
Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which r...
Number of Publications on New Clinical Prediction Models: A Bibliometric Review.
JMIR medical informatics
Jul 4, 2025
BACKGROUND: Concerns have been expressed about the abundance of new clinical prediction models (CPMs) proposed in the literature. However, the extent of this proliferation in prediction research remains unclear.
Educational Applications of ChatGPT in University-Based Dental Education. A Systematic Review.
European journal of dental education : official journal of the Association for Dental Education in Europe
Jul 3, 2025
BACKGROUND: The emergence of ChatGPT has sparked growing interest in its application within university-based dental education. As a conversational large language model (LLM), ChatGPT offers unique opportunities for content explanation, exam simulatio...
Evaluation of retrieval-augmented generation and large language models in clinical guidelines for degenerative spine conditions.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 7, 2025
PURPOSE: Degenerative spinal diseases often require complex, patient-specific treatment, presenting a compelling challenge for artificial intelligence (AI) integration into clinical practice. While existing literature has focused on ChatGPT-4o perfor...
A comparative study of machine learning models predicting post-hepatectomy liver failure: enhancing risk estimation in over 25,000 National Surgical Quality Improvement Program patients.
Annals of hepato-biliary-pancreatic surgery
Jul 7, 2025
BACKGROUNDS/AIMS: Post-hepatectomy liver failure (PHLF) is a significant complication with an incidence rate between 8% and 12%. Machine learning (ML) can analyze large datasets to uncover patterns not apparent through traditional methods, enhancing ...
Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data.
Scientific reports
Jul 7, 2025
Hybrid Grid System (HGS) installation in small and large residential area has major challenges due to domestic loads. Domestic loads are in different duty cycle such as (i) continuous duty i.e., vehicle charging, (ii) short time duty, (iii) periodic ...
Novel 59-layer dense inception network for robust deepfake identification.
Scientific reports
Jul 7, 2025
The exponential growth of Artificial Intelligence (AI) has led to the emergence of cutting edge methods and a plethora of new tools for media editing. The use of these tools has also facilitated the spread of false information, propaganda, and harass...
Letter to the editor concerning "Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis" by B. Hajikarimloo, et al. (Eur spine J [2025]: doi: 10.1007/s00586-025-09053-y).
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 7, 2025
Navigating Digital Health: Experiences and Challenges of Older Adults in Adopting AI and Digital Technologies.
Journal of gerontological nursing
Jul 7, 2025
PURPOSE: Digital technologies and artificial intelligence (AI) offer valuable opportunities to improve patient care, but older adults face unique challenges in adopting these innovations. The current study sought to explore the experiences of older a...
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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