AIMC Topic: Middle Aged

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Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals' perspectives.

BMC medical ethics Dec 21, 2024
BACKGROUND: Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision...
Patient-Centered Care Turkey Health Care Rationing Resource Allocation Artificial Intelligence Health Personnel Clinical Decision-Making Female Adult Male Middle Aged Qualitative Research Attitude of Health Personnel Decision Support Systems, Clinical Humans
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Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Dec 21, 2024
PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colon cancer treatment. Body composition analysis may enable tailored interventions thereby supporting the mitigation of chemotherapy toxic effects. This ...
Colonic Neoplasms Chemotherapy, Adjuvant Aged Aged, 80 and over Adult Male Middle Aged Antineoplastic Agents Imaging, Three-Dimensional Dose-Response Relationship, Drug Body Composition Lumbar Vertebrae Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female
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AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

Journal of hepatology Dec 20, 2024
BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by inc...
Humans Artificial Intelligence Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Hepatitis B, Chronic Tomography, X-Ray Computed Female Adult Male Middle Aged
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Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 20, 2024
OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.
Female Risk Factors Aged Male Middle Aged Anastomotic Leak Humans Risk Assessment Cholangiocarcinoma Machine Learning Liver Neoplasms Decision Support Techniques Carcinoma, Hepatocellular Databases, Factual Predictive Value of Tests Retrospective Studies Hepatectomy
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Neural networks for predicting etiological diagnosis of uveitis.

Eye (London, England) Dec 20, 2024
BACKGROUND/OBJECTIVES: The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the p...
Algorithms Retrospective Studies Female Aged Young Adult Humans Neural Networks, Computer Machine Learning ROC Curve Uveitis Adult Sensitivity and Specificity Male Middle Aged Adolescent
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Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancer.

Journal of applied clinical medical physics Dec 20, 2024
PURPOSE: Cardiotoxicity is one of the major concerns in breast cancer treatment, significantly affecting patient outcomes. To improve the likelihood of favorable outcomes for breast cancer survivors, it is essential to carefully balance the potential...
Radiation Injuries Cardiotoxicity Unilateral Breast Neoplasms Middle Aged Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Machine Learning Female Aged Adult Breast Neoplasms Radiomics Echocardiography
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Assessing the prognostic impact of body composition phenotypes on surgical outcomes and survival in patients with spinal metastasis: a deep learning approach to preoperative CT analysis.

Journal of neurosurgery. Spine Dec 20, 2024
OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients undergoing surgical intervention for spinal metastases has not yet been elucidated. This study aimed to elucidate the impact of body composition phenotypes...
Humans Phenotype Prognosis Body Composition Spinal Neoplasms Middle Aged Deep Learning Treatment Outcome Obesity Retrospective Studies Sarcopenia Tomography, X-Ray Computed Female Aged Male
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Liver Principal Component Analysis Area Under Curve Biopsy Humans Image Interpretation, Computer-Assisted Retrospective Studies Severity of Illness Index Reference Standards Aged ROC Curve Female Adult Elasticity Imaging Techniques Liver Cirrhosis Male Echo-Planar Imaging Support Vector Machine Middle Aged Magnetic Resonance Imaging
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Effectiveness of Machine Learning-Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

European addiction research Dec 20, 2024
INTRODUCTION: This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding (a) early dropout, (b) participation duration, and (c) success in reaching persona...
Humans Machine Learning Cohort Studies Telemedicine Female Goals Young Adult Alcoholism Adult Male Middle Aged
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective randomised controlled trial.

BMJ open Dec 20, 2024
INTRODUCTION: As surgical accessibility improves, the incidence of postoperative complications is expected to rise. The implementation of a precise and objective risk stratification tool holds the potential to mitigate these complications by early id...
Male Middle Aged Risk Assessment Postoperative Complications Female Randomized Controlled Trials as Topic Humans Decision Support Systems, Clinical Aged Elective Surgical Procedures Machine Learning Aged, 80 and over Singapore Prospective Studies Young Adult Hospitals, General Intensive Care Units Adult Perioperative Care
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