Artificial Intelligence Medical Compendium

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

Showing 23,021 to 23,030 of 216,842 articles

Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study.

BMC medical informatics and decision making
BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient satisfaction. Identifying high-risk elderly patients requires accurate absolute risk assessments, yet existing tools often lack probability calibration ... read more 

Classification of spinal tuberculous infection, pyogenic infection and spinal metastasis from magnetic resonance imaging using machine learning.

BMC musculoskeletal disorders
BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal metastasis remains a major diagnostic challenge because their radiological features often overlap. Delayed or incorrect diagnosis may lead to inappro... read more 

Erratum: Training with Artificial Intelligence: Are There Hidden Costs in Clinical Reasoning and Medical Education?

Southern medical journal
[This corrects the article DOI: 10.14423/SMJ.0000000000001927.]. read more 

Isocaloric liquid and solid meals induce comparable postprandial gastric motility: Implications for oral drug delivery assessed by real-time MRI.

International journal of pharmaceutics: X
Postprandial gastric motility critically influences the intragastric behavior of oral dosage forms and subsequent drug absorption. Combining real-time MRI with already established MR imaging, we compared an isocaloric liquid (Fresubin Energy) and a s... read more 

Harnessing AI and bioinformatics to combat methicillin-resistant staphylococcus aureus: Innovations in genomic surveillance, diagnosis, and therapeutic development.

Journal of infection and public health
The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, demanding innovative strategies for surveillance, diagnosis, and therapy. Advances in artificial intel... read more 

EPPCMinerBen: A novel benchmark for evaluating large language models on electronic patient-provider communication via the patient portal.

Artificial intelligence in medicine
Effective communication in health care is critical for treatment outcomes and adherence. With patient-provider exchanges shifting to secure messaging, analyzing electronic patient-communication (EPPC) data is both essential and challenging. We introd... read more 

A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVE: To conduct a systematic review and meta-analysis evaluating the diagnostic performance of medical image-based artificial intelligence (AI) models for the preoperative noninvasive prediction of metastasis in ovarian cancer (OC). METHODS: We... read more 

Elucidating superoxide dismutase interactions with whey protein isolate using multi-spectroscopy, deep learning, and molecular dynamic simulations.

Food chemistry
Superoxide dismutase (SOD) is an appealing additive for sports beverages owing to its antioxidant activity, while its thermal lability restricts its application in high-protein formulations. Here, we found that whey protein isolate increases the ther... read more 

A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.

Journal of food protection
The escalating complexity of global meat supply chains and rising consumption levels heighten public health risks, particularly in high-volume regions. To address this, we developed a novel risk assessment framework integrating multisource heterogene... read more 

Deep Learning-Driven Analysis and Quantification of Histopathologic Features in a Dextran Sulfate Sodium-Induced Colitis Mouse Model.

The American journal of pathology
Dextran-based colitis models have been used extensively to study the pathophysiology of inflammatory bowel disease, including ulcerative colitis and Crohn disease. Histologic studies of animal colon sections require an unbiased scoring to yield meani... read more