Artificial Intelligence Medical Compendium

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

Showing 20,671 to 20,680 of 216,088 articles

Multimodal deep learning model integrating electronic medical records and CT images for gallbladder cancer diagnosis: a retrospective multicenter study in China.

BMC cancer
OBJECTIVE: Gallbladder cancer (GBC) is a rare gastrointestinal malignancy with a global 5-year survival rate of less than 5%. Early diagnosis is challenging owing to the lack of specific clinical symptoms. Additionally, the high heterogeneity of gall... read more 

Accurate prediction of oligonucleotide probe hybridization efficiency via a transformer-based model.

BMC genomics
Gene detection chip design critically depends on oligonucleotide probe hybridization efficiency, yet conventional thermodynamic models for its evaluation diverge from experiments, and the lack of comprehensive universal datasets further stops models ... read more 

Proceedings from the 2025 Midwest Pediatric Device Consortium showcase featuring software as a medical device.

BMC proceedings
On July 9, 2025, the Midwest Pediatric Device Consortium hosted its second showcase at the MidTown Collaboration Center in Cleveland, OH. This meeting convened clinicians, engineers, regulators, entrepreneurs, and policy stakeholders to discuss the c... read more 

Evaluation of ChatGPT-4o in oral and maxillofacial surgery examinations: a comparative study of performance on U.S. dental decks and chinese dental licensing examination practice questions.

BMC oral health
BACKGROUND: This study evaluates the performance of ChatGPT-4o on practice questions from the U.S. Integrated National Board Dental Examination (INBDE) and the Chinese Dental Licensing Examination to assess its potential and limitations in a high-sta... read more 

SENP1 mitigates intervertebral disc degeneration: mechanisms involving suppression of pyroptosis and apoptosis in nucleus pulposus cells.

Journal of orthopaedic surgery and research
BACKGROUND: Intervertebral disc degeneration (IDD) is a leading cause of global disability. This study aimed to systematically investigate the role of SUMOylation in the pathogenesis of IDD through integrated transcriptomic analysis. METHODS: Bioinfo... read more 

E2F2 and TFDP1 as novel systemic lupus erythematosus (SLE) diagnostic markers and therapeutic targets based on machine learning and experimental study.

Hereditas
BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease influenced by multiple genetic and environmental factors.. This study used bioinformatics to identify new diagnostic biomarkers and explore the pathogenesis of SLE. METHOD... read more 

Diagnostic accuracy of serum and synovial biomarker thresholds for diagnosing periprosthetic joint infection: a QUADAS-C-guided systematic review and meta-analysis.

Arthroplasty (London, England)
BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis continues to pose significant challenges. A reliable distinction between septic and aseptic failure is ess... read more 

Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Multimodal large language models (LLMs) offer emerging capabilities in medical image interpretation; however, their efficacy in orthopedic oncology remains unverified. This study aimed to evaluate and benchmark the performance of five contem... read more 

Evolutionary structure constrains genomic prediction accuracy more than model complexity in mango (Mangifera indica L.).

G3 (Bethesda, Md.)
In genomic prediction, it remains unclear whether increasingly complex or ensemble models improve prediction over established linear approaches, and why prediction accuracy varies among traits. Here, we evaluated a comprehensive suite of genomic pred... read more 

Functional Groups Are All You Need for Chemically Interpretable Molecular Property Prediction.

Journal of chemical information and modeling
Molecular property prediction using deep learning (DL) models has accelerated drug and materials discovery, but the resulting DL models often lack interpretability, hindering their adoption by chemists. This work proposes developing molecule represen... read more