Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 291 to 300 of 157,320 articles
Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jul 7, 2025
OBJECTIVES: The purpose of this study is to mainly develop a predictive model based on clinicoradiological and radiomics features from preoperative gadobenate-enhanced (Gd-BOPTA) magnetic resonance imaging (MRI) using multilayer perceptron (MLP) deep...
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 ...
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...
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...
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 ...
Deep learning method for cucumber disease detection in complex environments for new agricultural productivity.
BMC plant biology
Jul 7, 2025
Cucumber disease detection under complex agricultural conditions faces significant challenges due to multi-scale variation, background clutter, and hardware limitations. This study proposes YOLO-Cucumber, an improved lightweight detection algorithm b...
The development of the generative adversarial supporting vector machine for molecular property generation.
Journal of cheminformatics
Jul 7, 2025
The generative adversarial network (GAN) is a milestone technique in artificial intelligence, and it is widely used in image generation. However, it has a large hyper-parameter space, which makes it difficult for training. In this work, we propose a ...
Effectiveness of a smart management system in improving adherence and clinical outcomes of patients receiving peritoneal dialysis: a retrospective cohort analysis.
BMC nursing
Jul 7, 2025
BACKGROUND: Peritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy of telehealth care in long-term management for PD patients remains unclear.
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
Association of dietary quality, biological aging, progression and mortality of cardiovascular-kidney-metabolic syndrome: insights from mediation and machine learning approaches.
Nutrition journal
Jul 7, 2025
BACKGROUND: To investigate the association between the Dietary Inflammatory Index (DII), biological aging, and the staging and mortality of cardiovascular-kidney-metabolic (CKM) syndrome.
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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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