AIMC Topic: Treatment Outcome

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Development and evaluation of a deep learning segmentation model for assessing non-surgical endodontic treatment outcomes on periapical radiographs: A retrospective study.

PloS one Dec 31, 2024
This study aimed to evaluate the performance of a deep learning-based segmentation model for predicting outcomes of non-surgical endodontic treatment. Preoperative and 3-year postoperative periapical radiographic images of each tooth from routine roo...
Humans Neural Networks, Computer Treatment Outcome Retrospective Studies Deep Learning Root Canal Therapy
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Scientific reports Dec 30, 2024
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the...
Female Melanoma Aged Adult Male Middle Aged Humans Deep Learning Retrospective Studies ROC Curve Tomography, X-Ray Computed Immune Checkpoint Inhibitors Treatment Outcome
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

BMC musculoskeletal disorders Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Aged, 80 and over Wrist Joint Young Adult Wrist Fractures Adult Treatment Outcome Radiography Humans Male Follow-Up Studies Range of Motion, Articular Machine Learning Middle Aged Fracture Fixation, Internal Bone Plates Retrospective Studies Cluster Analysis Female Hand Strength Radius Fractures Aged Intra-Articular Fractures
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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning met...
Medical Futility Time Factors Treatment Outcome Predictive Value of Tests Ischemic Stroke Endovascular Procedures Prospective Studies Clinical Decision-Making Humans Female Aged Machine Learning Reproducibility of Results Aged, 80 and over Decision Support Techniques Risk Factors Male Databases, Factual Middle Aged Risk Assessment
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Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Given the swift advancements in artificial intelligence (AI), the utilisation of AI-based clinical decision support systems (AI-CDSSs) has become increasingly prevalent in the medical domain, particularly in the management of cerebrovascu...
Humans Artificial Intelligence Clinical Decision-Making Female Multicenter Studies as Topic Randomized Controlled Trials as Topic Ischemic Stroke Male Quality Improvement China Quality Indicators, Health Care Time Factors Decision Support Systems, Clinical Treatment Outcome
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Multi-stain deep learning prediction model of treatment response in lupus nephritis based on renal histopathology.

Kidney international Dec 27, 2024
The response of the kidney after induction treatment is one of the determinants of prognosis in lupus nephritis, but effective predictive tools are lacking. Here, we sought to apply deep learning approaches on kidney biopsies for treatment response p...
Humans Retrospective Studies Female Young Adult Adult Proteinuria Male Mycophenolic Acid Glomerular Filtration Rate Middle Aged Cyclophosphamide Deep Learning Immunosuppressive Agents Kidney Predictive Value of Tests Treatment Outcome Lupus Nephritis Biopsy
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Analyzing the Effect of Surgical and Corneal Parameters on the Postoperative Refractive Outcomes of Smile in Myopic Eyes Based on Machine Learning.

American journal of ophthalmology Dec 27, 2024
PURPOSE: To analyze the influence of individual parameters on the postoperative refractive outcomes of small incision lenticule extraction (SMILE) in myopic eyes using machine learning.
Corneal Surgery, Laser Visual Acuity Humans Corneal Topography Machine Learning Male Retrospective Studies Postoperative Period Middle Aged Female Lasers, Excimer Refraction, Ocular Young Adult Corneal Stroma Myopia Adult Treatment Outcome Cornea
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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction.

NeuroImage Dec 27, 2024
The rate of success of epilepsy surgery, ensuring seizure-freedom, is limited by the lack of epileptogenicity biomarkers. Previous evidence supports the critical role of functional connectivity during seizure generation to characterize the epileptoge...
Treatment Outcome Electroencephalography Epilepsy Nerve Net Electrocorticography Female Young Adult Adult Male Adolescent Humans Machine Learning Brain
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Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Dec 26, 2024
OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LC...
Treatment Outcome Predictive Value of Tests Ablation Techniques Varicose Veins Male Middle Aged Risk Assessment Postoperative Complications Time Factors Humans Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Clinical Decision-Making Female Risk Factors Aged
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Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies.

BMC cancer Dec 26, 2024
BACKGROUND: Accurate prediction of pathological complete response (pCR) and disease-free survival (DFS) in locally advanced rectal cancer (LARC) patients undergoing neoadjuvant chemoradiotherapy (NCRT) is essential for formulating effective treatment...
Humans Adult Male Middle Aged ROC Curve Nomograms Machine Learning Prognosis Retrospective Studies Female Aged Treatment Outcome Chemoradiotherapy Neoadjuvant Therapy Rectal Neoplasms Disease-Free Survival Kaplan-Meier Estimate
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