AIMC Topic: Treatment Outcome

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Treatment Effect Estimation With Potential Outcomes for a Single-Arm Trial Compared With Historical Controls: A Case Study of Locally Recurrent Head and Neck Squamous Cell Carcinoma Patients Treated With Adjuvant Nivolumab.

Head & neck Jun 17, 2025
BACKGROUND: Time/resource constraints might preclude a randomized controlled trial. Single-arm oncology trials with historical controls are an alternative. With causal inference, treatment effect estimates can be computed in the absence of randomizat...
Aged Male Middle Aged Case-Control Studies Treatment Outcome Humans Female Squamous Cell Carcinoma of Head and Neck Neoplasm Recurrence, Local Head and Neck Neoplasms Nivolumab Antineoplastic Agents, Immunological Disease-Free Survival Bayes Theorem Proportional Hazards Models Chemotherapy, Adjuvant
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Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

Trials Jun 13, 2025
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively ...
Upper Extremity Stroke Rehabilitation Randomized Controlled Trials as Topic Disability Evaluation Single-Blind Method Stroke Motor Activity Virtual Reality Time Factors Treatment Outcome Recovery of Function Aged Adult Biomechanical Phenomena Male Humans Middle Aged Artificial Intelligence Female
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Extremity Soft Tissue Sarcoma Reconstruction Nomograms: A Clinicoradiomic, Machine Learning-Powered Predictor of Postoperative Outcomes.

JCO clinical cancer informatics Jun 11, 2025
PURPOSE: The choice of wound closure modality after limb-sparing extremity soft-tissue sarcoma (eSTS) resection is fraught with uncertainty. Leveraging machine learning and clinicoradiomic data, we developed Sarcoma Reconstruction Nomograms (SARCON),...
Postoperative Complications Nomograms Treatment Outcome Plastic Surgery Procedures Sarcoma Young Adult Adult Male Middle Aged Soft Tissue Neoplasms Extremities Humans Machine Learning Retrospective Studies Female Aged
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AI-guided spatiotemporal dispersion mapping for individualized ablation in an all-comer cohort with atrial fibrillation.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Jun 6, 2025
BACKGROUND: Artificial intelligence (AI)-guided spatiotemporal dispersion (stD) mapping has been shown to improve outcomes in patients with persistent atrial fibrillation (AF). However, the relationship between stD mapping and markers of atrial cardi...
Atrial Remodeling Atrial Fibrillation Catheter Ablation Body Surface Potential Mapping Pulmonary Veins Electrophysiologic Techniques, Cardiac Humans Artificial Intelligence Retrospective Studies Female Aged Male Middle Aged Cohort Studies Treatment Outcome Surgery, Computer-Assisted
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Cone-beam computed tomography-based online adaptive radiotherapy of esophageal cancer in the neoadjuvant setting: Dosimetric analysis, toxicity and treatment response.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 6, 2025
BACKGROUND AND PURPOSE: Chemoradiotherapy (CRT) followed by surgery is a treatment option for esophageal cancer (EC). However, concerns persist regarding cardiopulmonary toxicity and inconsistent daily target coverage due to anatomical changes. To ad...
Humans Female Aged Male Middle Aged Cone-Beam Computed Tomography Treatment Outcome Radiotherapy, Image-Guided Esophagectomy Neoadjuvant Therapy Esophageal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Chemoradiotherapy
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Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer.

Nuclear medicine communications Jun 4, 2025
OBJECTIVE: This study evaluated the relationship between 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) radiomic features and clinical parameters, including tumor localization, histopathological subtype, lymph node metastasis, mortal...
Fluorodeoxyglucose F18 Female Aged Adult Radiomics Male Middle Aged Image Processing, Computer-Assisted Treatment Outcome Positron Emission Tomography Computed Tomography Esophageal Neoplasms Humans Machine Learning Algorithms Prognosis Retrospective Studies
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Predicting mortality risk following major lower extremity amputation using machine learning.

Journal of vascular surgery Jun 4, 2025
OBJECTIVE: Major lower extremity amputation for advanced vascular disease involves significant perioperative risks. Although outcome prediction tools could aid in clinical decision-making, they remain limited. To address this, we developed machine le...
Treatment Outcome Lower Extremity Predictive Value of Tests Amputation, Surgical Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Postoperative Complications Time Factors Humans Machine Learning Decision Support Techniques Databases, Factual
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Analysis of IPV success treatment from an AI approach.

PloS one Jun 3, 2025
Intimate partner violence (IPV) is a serious social problem in Chile. Understanding the patterns of internalization and the motivations maintaining it is crucial to design optimal treatments that ensure adherence and completeness. This, in addition, ...
Treatment Outcome Adult Humans Male Cluster Analysis Artificial Intelligence Middle Aged Chile Female Quality of Life Intimate Partner Violence Young Adult Adolescent Crime Victims
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Multi-Organ metabolic profiling with [F]F-FDG PET/CT predicts pathological response to neoadjuvant immunochemotherapy in resectable NSCLC.

European journal of nuclear medicine and molecular imaging Jun 2, 2025
PURPOSE: To develop and validate a novel nomogram combining multi-organ PET metabolic metrics for major pathological response (MPR) prediction in resectable non-small cell lung cancer (rNSCLC) patients receiving neoadjuvant immunochemotherapy.
Humans Retrospective Studies Female Aged Treatment Outcome Neoadjuvant Therapy Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Male Middle Aged Lung Neoplasms Immunotherapy Nomograms
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Machine Learning-Assisted Prediction of Persistent Incomplete Occlusion in Intracranial Aneurysms From Angiographic Parametric Imaging-Derived Features.

Academic radiology Jun 2, 2025
RATIONALE AND OBJECTIVES: To develop machine-learning (ML) models incorporating angiographic parametric imaging (API)-derived parameters in predicting persistent incomplete occlusion of intracranial aneurysms (IAs) after flow diverter (FD) treatment.
Aged Adult Male Middle Aged Treatment Outcome Humans Machine Learning Retrospective Studies Female Predictive Value of Tests Cerebral Angiography Intracranial Aneurysm
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