AIMC Topic: Treatment Outcome

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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

BMC cancer Mar 13, 2025
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical facto...
Humans Tumor Burden Machine Learning Induction Chemotherapy Nomograms Adult Treatment Outcome Radiomics Support Vector Machine Male Carcinoma, Non-Small-Cell Lung Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Middle Aged Lung Neoplasms
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Retrospective Studies Acute Kidney Injury Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Treatment Outcome Predictive Value of Tests Humans Glomerular Filtration Rate Angioplasty Machine Learning Contrast Media Decision Support Techniques Lower Extremity Peripheral Arterial Disease
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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer.

Frontiers in immunology Mar 11, 2025
Although the immune checkpoint inhibitors (ICIs) have demonstrated remarkable anti-tumor efficacy in solid tumors, the proportion of ESCC patients who benefit from ICIs remains limited. Current biomarkers have assisted in identifying potential respon...
Immunotherapy Treatment Outcome Esophageal Neoplasms Middle Aged Humans Deep Learning Female Immune Checkpoint Inhibitors Aged B7-H1 Antigen Biomarkers, Tumor Male
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Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care.

Journal of translational medicine Mar 10, 2025
BACKGROUND: Advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the medical field and transformed translational medicine. These technologies enable more accurate disease trajectory models while enhancing patient...
Machine Learning Treatment Outcome Patient-Centered Care Humans Translational Research, Biomedical Neural Networks, Computer Artificial Intelligence Translational Science, Biomedical
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Generative AI-Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study.

Journal of medical Internet research Mar 10, 2025
BACKGROUND: Cognitive behavioral therapy (CBT) is a highly effective treatment for depression and anxiety disorders. Nonetheless, a substantial proportion of patients do not respond to treatment. The lack of engagement with therapeutic materials and ...
Patient Participation Psychotherapy, Group Middle Aged Humans Treatment Outcome Artificial Intelligence United Kingdom Female Cognitive Behavioral Therapy Adult Male
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Outcomes of lateral femoral cutaneous nerve decompression surgery in meralgia paraesthetica: assessment of pain, sensory deficits, and quality of life.

International orthopaedics Mar 7, 2025
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LFCN), characterized by thigh pain, paraesthesia, or sensory loss. When conservative treatments fail, surgical interventions such as neurolysis or neure...
Pain Measurement Femoral Nerve Decompression, Surgical Nerve Compression Syndromes Femoral Neuropathy Adult Humans Male Prospective Studies Middle Aged Female Quality of Life Aged Treatment Outcome
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Neoplasm Invasiveness Liver Meta-Analysis as Topic Mutation Prognosis Clinical Decision-Making Biomarkers, Tumor Risk Assessment Humans Liver Neoplasms Machine Learning Carcinoma, Hepatocellular Precision Medicine Single-Cell Gene Expression Analysis Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome
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Combined effects and timing of robotic training and botulinum toxin on upper limb spasticity and motor function: a single‑blinded randomized controlled pilot study.

Journal of neuroengineering and rehabilitation Mar 6, 2025
BACKGROUND: This study aimed to evaluate the combined effects of robotic training (RT) and botulinum toxin (BTX) injections on motor function and spasticity in individuals with post-stroke upper limb spasticity (ULS). We also sought to investigate th...
Humans Pilot Projects Treatment Outcome Robotics Single-Blind Method Stroke Female Aged Adult Male Middle Aged Combined Modality Therapy Exercise Therapy Neuromuscular Agents Upper Extremity Stroke Rehabilitation Botulinum Toxins, Type A Muscle Spasticity Botulinum Toxins
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A machine learning approach to predict treatment efficacy and adverse effects in major depression using CYP2C19 and clinical-environmental predictors.

Psychiatric genetics Mar 5, 2025
BACKGROUND: Major depressive disorder (MDD) is among the leading causes of disability worldwide and treatment efficacy is variable across patients. Polymorphisms in cytochrome P450 2C19 (CYP2C19) play a role in response and side effects to medication...
Cytochrome P-450 CYP2C19 Machine Learning Humans Female Middle Aged Adult Depressive Disorder, Major Cross-Sectional Studies Treatment Outcome Male Alleles Antidepressive Agents
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Databases, Factual Retrospective Studies Female Risk Factors Aged Humans Machine Learning Decision Support Techniques Treatment Outcome Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Male Middle Aged Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular
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