Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 10,571 to 10,580 of 209,601 articles
Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical research.
The Lancet. Digital health
May 27, 2026
The emergence of large language models (LLMs) offers transformative potential for medical research. Current approaches often focus on LLMs as a replacement for researchers or as a supporting tool. In this Viewpoint, we discuss the concept of co-intel... read more
Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study.
The Lancet. Digital health
May 27, 2026
BACKGROUND: People with and who have survived paediatric brain tumour (PBT) have a poor quality of life due to physiological frailty, a primary component of which is sarcopenia (ie, low lean muscle mass) and the associated condition, sarcopenic overw... read more
[Stratified application of CA19-9 in the surveillance of postoperative recurrence of pancreatic cancer].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
Pancreatic cancer is characterized by high postoperative metastasis and recurrence rates, making the identification of early recurrence markers with high sensitivity and specificity critically important. CA19-9 is closely associated with pancreatic c... read more
[Technology-driven management of early-onset scoliosis:new technologies and concepts].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
Early-onset scoliosis (EOS) refers to spinal deformity occurring in children younger than 10 years of age. The main goals of EOS treatment are not only to correct spinal curvature, but also to preserve spinal and thoracic growth potential. In recent ... read more
[Applications and prospects of artificial intelligence for decision-making in spinal surgery].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
The application of artificial intelligence in decision support for spinal surgery has developed rapidly and now widely covers key steps such as automatic segmentation and classification of spinal imaging, determination of surgical indications, pedicl... read more
[MRI-based deep learning model for preoperative prediction of urothelial carcinoma with variant histology of bladder: a retrospective, multicenter study].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
Objectives: To develop a deep learning model based on magnetic resonance imaging (MRI) for the preoperative prediction of urothelial carcinoma with variant histology (VUC), and to evaluate its predictive performance and prognostic stratification valu... read more
[Application research and evolutionary history of risk prediction models for postoperative pancreatic fistula after pancreaticoduodenectomy].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 27, 2026
Postoperative pancreatic fistula (POPF) is a severe complication following pancreaticoduodenectomy,among which clinically relevant postoperative pancreatic fistula has garnered substantial attention due to its high incidence (10% to 25%) and fatal co... read more
Artificial intelligence for reducing metal artifacts in dental CBCT images: a systematic review.
Dento maxillo facial radiology
May 27, 2026
OBJECTIVES: The presence of metallic restorations introduces severe artifacts that compromise diagnostic accuracy of cone beam computed tomography (CBCT) images. This systematic review aims to evaluate the effectiveness of artificial intelligence (AI... read more
Protonation and magnesium ions shape the transition state diversity of phosphoanhydride hydrolysis in water.
Nature communications
May 27, 2026
Phosphoanhydride hydrolysis is a central reaction in biochemistry, powering processes from biosynthesis to molecular motors. Yet, its solution mechanism and the molecular origins of the catalytic effects of protonation and magnesium ions remain elusi... read more
An enhanced hypergraph CNN with adaptive focal loss for automated ECG heartbeat classification.
Scientific reports
May 27, 2026
Deep learning techniques have shown significant promise for the automated diagnosis of CVD using ECG analysis. Nevertheless, several critical challenges persist with current approaches: severe class imbalance, intricate temporal dependencies, and poo... read more
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