AIMC Topic: Treatment Outcome

Clear Filters Showing 21 to 30 of 3202 articles

Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial.

JMIR dermatology Jul 16, 2025
BACKGROUND: Acne vulgaris (AV) is one of the most common skin disorders, with a peak incidence in adolescence and early adulthood. Topical treatments are usually used for mild to moderate AV; however, a lack of adherence to topical treatment is seen ...
Adult Male Quality of Life Severity of Illness Index Machine Learning Female Young Adult Single-Blind Method Acne Vulgaris Adolescent Dermatologic Agents Humans Treatment Outcome Skin Care Bayes Theorem
View on PubMed DOI

Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response.

Nature communications Jul 14, 2025
The immune response to tumour development is frequently targeted with therapeutics but remains largely unexplored in diagnostics, despite being stronger for early-stage tumours. We present an immunodiagnostic platform to detect this. We identify a pa...
Adult Treatment Outcome Amino Acids Male Breast Neoplasms Humans Early Detection of Cancer Middle Aged Biomarkers, Tumor Female Neoplasms Aged
View on PubMed DOI

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Journal of robotic surgery Jul 12, 2025
Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by significantly improving precision, safety, and personalization. The review critically explores the current landscape of AI-powered robotic technologies ...
Neoplasms Treatment Outcome Robotic Surgical Procedures Humans Artificial Intelligence Precision Medicine
View on PubMed DOI

Multimodal deep learning for cephalometric landmark detection and treatment prediction.

Scientific reports Jul 12, 2025
In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making. Traditional approaches rely on manual landmark identification, which is time-consuming and subject ...
Treatment Outcome Anatomic Landmarks Cephalometry Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Deep Learning
View on PubMed DOI

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones.

World journal of urology Jul 12, 2025
BACKGROUND: Lower pole renal stones (LPS) present unique challenges for retrograde intrarenal surgery (RIRS) due to unfavorable anatomical features, often resulting in suboptimal stone-free rates (SFR). Recent advancements in machine learning (ML) of...
Humans Machine Learning Retrospective Studies Female Middle Aged Treatment Outcome Predictive Value of Tests Kidney Calculi Aged Adult Male
View on PubMed DOI

Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study.

Journal of medical Internet research Jul 11, 2025
BACKGROUND: Given the challenges faced during percutaneous coronary intervention (PCI) for heavily calcified lesions, accurately predicting PCI success is crucial for enhancing patient outcomes and optimizing procedural strategies.
Percutaneous Coronary Intervention Coronary Artery Disease Vascular Calcification Prospective Studies Female Aged Humans Treatment Outcome Machine Learning Coronary Angiography Male Middle Aged
View on PubMed DOI

USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma.

Journal of translational medicine Jul 10, 2025
BACKGROUND: The role of post-translational modifications(PTMs) in PD-L1-mediated immune resistance and melanoma progression remains poorly understood.
Immunotherapy Cell Line, Tumor Humans Ubiquitination Treatment Outcome B7-H1 Antigen Ubiquitin-Specific Proteases Melanoma Gene Knockdown Techniques Mice Animals
View on PubMed DOI

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

Journal of translational medicine Jul 10, 2025
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy has significant clinical utility in the management of breast cancer treatment. Although multimodal deep learning models have shown promise for predict...
Middle Aged Humans Deep Learning Reproducibility of Results Attention Female Treatment Outcome Adult Magnetic Resonance Imaging Breast Neoplasms
View on PubMed DOI

Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy.

Scientific reports Jul 10, 2025
Breast cancer continues to be a leading cause of death among women in the world. The prediction of survival outcomes based on treatment modalities, i.e., chemotherapy, hormone therapy, surgery, and radiation therapy is an essential step towards perso...
Support Vector Machine Combined Modality Therapy Survival Analysis Female Breast Neoplasms ROC Curve Humans Treatment Outcome Machine Learning
View on PubMed DOI

Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery.

Nature communications Jul 10, 2025
While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpinnings of both rare and common complex disorders, its utility to predict clinical outcomes remains understudied. Here, we use artificial intelligence ...
Female Infant, Newborn Male Child Genotype Infant Child, Preschool Humans Forecasting Prospective Studies Heart Defects, Congenital Treatment Outcome Exome Sequencing Whole Genome Sequencing Cardiac Surgical Procedures
View on PubMed DOI
Popular Topics
Recent Journals