AIMC Topic: Aged

Clear Filters Showing 1731 to 1740 of 12806 articles

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...
Humans Machine Learning Female Risk Factors Aged Postoperative Complications Treatment Outcome Stroke Aged, 80 and over Male Middle Aged Risk Assessment
View on PubMed DOI

Machine Learning-Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study.

JMIR medical informatics Jan 31, 2025
BACKGROUND: Chronic heart failure (CHF) is a serious threat to human health, with high morbidity and mortality rates, imposing a heavy burden on the health care system and society. With the abundance of medical data and the rapid development of machi...
Female Humans Risk Factors Machine Learning Aged Male Middle Aged Risk Assessment Chronic Disease Heart Failure
View on PubMed DOI

Accessible halitosis diagnosis: validating the accuracy of novel AI-based compact VSC measuring instrument.

Journal of breath research Jan 31, 2025
Halitosis presents a significant global health concern, necessitating the development of precise and efficient testing methodologies owing to the high prevalence and the associated social and psychological effects. The measurement of volatile sulfur ...
Sulfur Compounds Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Breath Tests Halitosis Humans Artificial Intelligence Female Reproducibility of Results Aged Young Adult Adult Male Middle Aged
View on PubMed DOI

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...
Treatment Outcome Androgen Antagonists Prostatic Neoplasms, Castration-Resistant Thiohydantoins Humans Artificial Intelligence Aged Male Middle Aged
View on PubMed DOI

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Electronic Health Records Female Aged Adult Male Humans Machine Learning Retrospective Studies Spinal Fusion Lumbar Vertebrae Anemia Patient Readmission Preoperative Period Middle Aged Risk Assessment Postoperative Complications Length of Stay
View on PubMed DOI

The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective study.

Archives of gynecology and obstetrics Jan 30, 2025
PURPOSE: Artificial Intelligence models based on medical (imaging) data are increasingly developed. However, the imaging software on which the original data is generated is frequently updated. The impact of updated imaging software on the performance...
Elasticity Imaging Techniques Humans Machine Learning Female Software Aged Retrospective Studies Adult Breast Neoplasms Middle Aged
View on PubMed DOI

Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Humans Machine Learning Prognosis Retrospective Studies Male Middle Aged Nutrition Assessment Postoperative Complications Neoplasm Recurrence, Local Tomography, X-Ray Computed Female Aged Survival Rate Preoperative Period Bilirubin Intra-Abdominal Fat Hepatectomy Serum Albumin Bile Duct Neoplasms Cholangiocarcinoma Nutritional Status Subcutaneous Fat
View on PubMed DOI

Enhancing surgical precision in squamous cell carcinoma of the head and neck: Hyperspectral imaging and artificial intelligence for improved margin assessment in an ex vivo setting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 30, 2025
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical resection for optimal outcomes. Achieving complete resection (R0) is crucial, but current methods, relying on white light endoscopy and microscopy, have ...
Female Aged Head and Neck Neoplasms Male Humans Hyperspectral Imaging Middle Aged Neural Networks, Computer Margins of Excision Squamous Cell Carcinoma of Head and Neck Artificial Intelligence
View on PubMed DOI

Machine learning to detect recent recreational drug use in intensive cardiac care units.

Archives of cardiovascular diseases Jan 30, 2025
BACKGROUND: Although recreational drug use is a strong risk factor for acute cardiovascular events, systematic testing is currently not performed in patients admitted to intensive cardiac care units, with a risk of underdetection. To address this iss...
Recreational Drug Use Middle Aged Random Forest Reproducibility of Results Risk Assessment Substance Abuse Detection Risk Factors Humans Predictive Value of Tests France Aged Machine Learning Substance-Related Disorders Illicit Drugs Prospective Studies Male Coronary Care Units Female
View on PubMed DOI

Machine Learning Analysis of Nutrient Associations with Peripheral Arterial Disease: Insights from NHANES 1999-2004.

Annals of vascular surgery Jan 30, 2025
BACKGROUND: Peripheral arterial disease (PAD) is a common manifestation of atherosclerosis, affecting over 200 million people worldwide. The incidence of PAD is increasing due to the aging population. Common risk factors include smoking, diabetes, an...
Peripheral Arterial Disease Predictive Value of Tests Ankle Brachial Index Nutritional Status Diet Risk Assessment Machine Learning Time Factors Female Nutrition Surveys Humans Risk Factors United States Aged Cross-Sectional Studies Adult Male Middle Aged Nutrition Assessment
View on PubMed DOI
Popular Topics
Recent Journals