Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 24,291 to 24,300 of 217,425 articles

Machine learning outperforms large language models for survival prediction in advanced hepatocellular carcinoma: a multicenter study.

Scientific reports
Accurate prognostic prediction remains a critical unmet need in advanced hepatocellular carcinoma (HCC). While machine learning (ML) models have demonstrated value in outcome prediction, the ability of large language models (LLMs) to perform structur... read more 

An Arabic language benchmark and hybrid BERT-BiGRU-CapsNet model for optimism and pessimism detection.

Scientific reports
Accurate identification of optimism and pessimism has important applications for individual health and societal well-being. Despite the growing interest in sentiment analysis and emotion detection, limited research has focused on the detection of opt... read more 

Deep-learning based quantitative evaluation of postoperative atelectasis following right upper lobectomy.

NPJ digital medicine
Existing methods of grading atelectasis are typically subjective and not scalable. We aimed to develop an automated, deep learning-based framework to quantify and grade postoperative atelectasis. We retrospectively included all patients who underwent... read more 

Empowering surgeons with integrated synthetic data: solutions for mastering complex clinical scenarios.

NPJ digital medicine
Synthetic data generation across domains can bridge gaps between visual training, skill development, and personalized surgical planning, ultimately transforming how surgeons and artificial intelligence (AI) systems prepare for the complexities of the... read more 

The complexity of pain in osteoarthritis.

Nature reviews. Rheumatology
Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain adequate pain relief from these therapies. Predicting those patients who will not respond to current ... read more 

Hypervariable loop profiling decodes sequence determinants of antibody stability.

Nature structural & molecular biology
Antibody folding and aggregation are major challenges in the development of relevant reagents and therapeutics. Antibodies face a biophysical trade-off; the immense diversity in complementarity-determining regions (CDRs), which is crucial for broad a... read more 

A quantitative analysis of global AI medical studies: gaps in randomized controlled trials.

NPJ digital medicine
Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview of its clinical evaluation landscape remains lacking. We conducted a scoping review of 218 systematic reviews published between September 2023 and Se... read more