AIMC Topic: Treatment Outcome

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Predicting abatacept retention using machine learning.

Arthritis research & therapy Feb 1, 2025
BACKGROUND: The incorporation of machine learning is becoming more prevalent in the clinical setting. By predicting clinical outcomes, machine learning can provide clinicians with a valuable tool for refining precision medicine approaches and improvi...
Aged Adult Male Middle Aged Antirheumatic Agents Humans Abatacept Machine Learning Arthritis, Rheumatoid Female Treatment Outcome
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Integrating machine learning for treatment decisions in anterior open bite orthodontic cases: A retrospective study.

Journal of the World federation of orthodontists Jan 31, 2025
INTRODUCTION: This article explores the integration of machine learning (ML) algorithms to aid in treatment planning and extraction decisions for anterior open bite cases, leveraging demographic, clinical, and radiographic data to predict treatment o...
Clinical Decision-Making Female Young Adult Adult Neural Networks, Computer Humans Machine Learning Algorithms Support Vector Machine Retrospective Studies Cephalometry Male Tooth Extraction Adolescent Patient Care Planning Child Open Bite Treatment Outcome
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Using machine learning to predict outcomes following transcarotid artery revascularization.

Scientific reports Jan 31, 2025
Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedure that carries a non-negligible risk of complications. Risk prediction tools may help guide clinical decision-making but remain limited. We developed...
Middle Aged Risk Assessment Postoperative Complications Treatment Outcome Humans Stroke Risk Factors Machine Learning Aged Female Aged, 80 and over Male
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Digital Pathology-Based Multimodal Artificial Intelligence Scores and Outcomes in a Randomized Phase III Trial in Men With Nonmetastatic Castration-Resistant Prostate Cancer.

JCO precision oncology Jan 31, 2025
PURPOSE: The SPARTAN trial demonstrated that the addition of apalutamide to androgen deprivation therapy improves outcomes among patients with nonmetastatic castration-resistant prostate cancer (nmCRPC). We applied a previously reported digital histo...
Thiohydantoins Male Humans Middle Aged Treatment Outcome Artificial Intelligence Androgen Antagonists Aged Prostatic Neoplasms, Castration-Resistant
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Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.

Nature cancer Jan 30, 2025
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-...
Biomarkers, Tumor Male Neoplasms Prognosis Decision Support Systems, Clinical Humans Treatment Outcome Electronic Health Records Neural Networks, Computer Clinical Decision-Making Artificial Intelligence Female Precision Medicine
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Transcutaneous spinal cord stimulation combined with robotic-assisted body weight-supported treadmill training enhances motor score and gait recovery in incomplete spinal cord injury: a double-blind randomized controlled clinical trial.

Journal of neuroengineering and rehabilitation Jan 30, 2025
BACKGROUND: Although transcutaneous spinal cord stimulation (tSCS) has been suggested as a safe and feasible intervention for gait rehabilitation, no studies have determined its effectiveness compared to sham stimulation.
Recovery of Function Robotics Double-Blind Method Body Weight Gait Disorders, Neurologic Transcutaneous Electric Nerve Stimulation Spinal Cord Stimulation Exercise Therapy Spinal Cord Injuries Male Middle Aged Treatment Outcome Muscle Strength Humans Female Adult
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Phase-contrast magnetic resonance imaging-based predictive modelling for surgical outcomes in patients with Chiari malformation type 1 with syringomyelia: a machine learning study.

Clinical radiology Jan 29, 2025
AIM: Prospective outcome prediction plays a crucial role in guiding preoperative decision-making in patients with Chiari malformation type I (CM-Ⅰ) with syringomyelia. Here, we aimed to develop a predictive model for postoperative outcomes in patient...
Treatment Outcome Young Adult Arnold-Chiari Malformation Humans Magnetic Resonance Imaging Syringomyelia Predictive Value of Tests Adult Machine Learning Decompression, Surgical Male Retrospective Studies Middle Aged Female
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Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.

Journal of neuroscience methods Jan 28, 2025
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...
Stroke Outcome Assessment, Health Care Endovascular Procedures Thrombectomy Treatment Outcome Support Vector Machine Machine Learning Ischemic Stroke Prospective Studies Aged Registries Humans Female Aged, 80 and over Male Middle Aged
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F-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients.

La Radiologia medica Jan 28, 2025
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Middle Aged Treatment Outcome Neoadjuvant Therapy Lymphatic Metastasis Aged Adult Breast Neoplasms Radiomics Chemotherapy, Adjuvant Predictive Value of Tests Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Machine Learning Retrospective Studies Female Humans Artificial Intelligence
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Comparative efficacy of robot-assisted therapy associated with other different interventions on upper limb rehabilitation after stroke: A protocol for a network meta-analysis.

PloS one Jan 28, 2025
INTRODUCTION: Post-stroke movement disorders are common, especially upper limb dysfunction, which seriously affects the physical and mental health of stroke patients. With the continuous development of intelligent technology, robot-assisted therapy h...
Humans Treatment Outcome Randomized Controlled Trials as Topic Robotics Network Meta-Analysis as Topic Meta-Analysis as Topic Stroke Upper Extremity Stroke Rehabilitation
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