AIMC Topic: Patient Selection

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Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.

Briefings in bioinformatics Sep 2, 2021
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studied in GBM, but none can significantly prolong the overall survival (OS) of patients without selection...
Temozolomide Antineoplastic Agents, Alkylating Atlases as Topic Neoplastic Stem Cells Glioblastoma Patient Selection Programmed Cell Death 1 Receptor Survival Analysis Adult Tumor Microenvironment Brain Neoplasms Humans Male Middle Aged Machine Learning Gene Expression Profiling Prognosis Transcriptome Female Immunotherapy Aged Gene Expression Regulation, Neoplastic Treatment Outcome
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Machine learning application for patient stratification and phenotype/genotype investigation in a rare disease.

Briefings in bioinformatics Sep 2, 2021
Alkaptonuria (AKU, OMIM: 203500) is an autosomal recessive disorder caused by mutations in the Homogentisate 1,2-dioxygenase (HGD) gene. A lack of standardized data, information and methodologies to assess disease severity and progression represents ...
Humans Precision Medicine Mutation Machine Learning Female Patient Selection Male Rare Diseases Genotype Alkaptonuria Databases, Genetic Homogentisate 1,2-Dioxygenase
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Language Case-Control Studies Wearable Electronic Devices Mobile Applications Cognition Humans Artificial Intelligence Prospective Studies Biomarkers Alzheimer Disease Ethnicity Early Diagnosis Hong Kong Medical History Taking Observational Studies as Topic Mutation Models, Biological Patient Selection Asian People Memory Behavior Mental Status and Dementia Tests Late Onset Disorders Clinical Trial Protocols as Topic
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Natural Language Processing for Patient Selection in Phase I or II Oncology Clinical Trials.

JCO clinical cancer informatics Jun 1, 2021
PURPOSE: Early discontinuation affects more than one third of patients enrolled in early-phase oncology clinical trials. Early discontinuation is deleterious both for the patient and for the study, by inflating its duration and associated costs. We a...
Neoplasms Natural Language Processing Patient Selection Medical Oncology Humans Machine Learning
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Equity and Artificial Intelligence in Surgical Care.

JAMA surgery Jun 1, 2021
Bias, Implicit Humans Artificial Intelligence Clinical Decision-Making Healthcare Disparities Patient Selection Surgical Procedures, Operative
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Machine learning in the optimization of robotics in the operative field.

Current opinion in urology Nov 1, 2020
PURPOSE OF REVIEW: The increasing use of robotics in urologic surgery facilitates collection of 'big data'. Machine learning enables computers to infer patterns from large datasets. This review aims to highlight recent findings and applications of ma...
Urologic Surgical Procedures Female Urogenital Diseases Male Urogenital Diseases Male Clinical Competence Robotics Robotic Surgical Procedures Patient Selection Humans Machine Learning Algorithms Female
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Development and validation of a machine-learning model for prediction of shoulder dystocia.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Oct 1, 2020
OBJECTIVES: To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accuracy and potential clinical efficacy in optimizing the use of Cesarean delivery in the context of sus...
Humans Machine Learning Pregnancy Diabetes, Gestational Gestational Age Ultrasonography, Prenatal Biometry Shoulder Dystocia Female Fetal Weight ROC Curve Fetal Macrosomia Cesarean Section Predictive Value of Tests Reproducibility of Results Patient Selection Risk Factors Israel Adult
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A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons Jul 1, 2020
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...
Logistic Models Treatment Outcome Age Factors Patient Selection Sex Factors Outpatients Arthroplasty, Replacement, Shoulder Pulmonary Disease, Chronic Obstructive Male Humans Comorbidity Length of Stay ROC Curve Machine Learning Forecasting Decision Support Techniques Female Aged
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Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

Open heart Jun 1, 2020
OBJECTIVE: Electrical cardioversion is frequently performed to restore sinus rhythm in patients with persistent atrial fibrillation (AF). However, AF recurs in many patients and identifying the patients who benefit from electrical cardioversion is di...
Aged Male Middle Aged Risk Assessment Humans Heart Disease Risk Factors Treatment Outcome Recovery of Function Machine Learning Recurrence Predictive Value of Tests Retrospective Studies Electric Countershock Patient Selection Clinical Decision-Making Clinical Decision Rules Atrial Fibrillation Female Sex Factors
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Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Clinical and translational gastroenterology Apr 1, 2020
OBJECTIVES: We lack reliable methods for identifying patients with chronic pancreatitis (CP) at increased risk for pancreatic cancer. We aimed to identify radiographic parameters associated with pancreatic cancer in this population.
Middle Aged Female Natural Language Processing Risk Assessment Aged Humans Aged, 80 and over Retrospective Studies Adult Tomography, X-Ray Computed Registries Male Electronic Health Records Incidence Patient Selection Early Detection of Cancer Pancreas Pancreatic Neoplasms Pancreatitis, Chronic
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