Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.12930
Abstract: Key Points Question Can machine learning provide superior risk prediction compared with the current statistical methods for patients undergoing cytoreductive surgery? Findings In this prognostic study, an optimized machine learning model demonstrated superior capability of… read more here.
Keywords: learning model; machine; machine learning; risk ... See more keywords
Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.14514
Abstract: Key Points Question How do oncologists and a machine learning model compare in predicting 3-month mortality for patients with advanced solid tumors? Findings In this prognostic study, the machine learning model significantly outperformed 74 oncologists… read more here.
Keywords: learning model; machine learning; solid tumors; month mortality ... See more keywords
Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
Sign Up to like & getrecommendations! Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.48685
Abstract: Key Points Question Can an artificial intelligence (AI) model predict gestational age with higher accuracy than standard fetal biometry–based estimates by leveraging standard plane ultrasonography images and fly-to ultrasonography videos? Findings In this diagnostic study… read more here.
Keywords: learning model; machine learning; age; gestational age ... See more keywords
A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.14282
Abstract: Abstract Purpose To evaluate the 3D U‐Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults. Materials and methods MR images of the cervical spine from… read more here.
Keywords: cervical spine; deep learning; spine; learning model ... See more keywords
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22785
Abstract: Diabetic retinopathy (DR) and Diabetic Macular Edema (DME) are severe diseases that affect the eyes due to damage in blood vessels. Computer‐aided automated grading will help clinicians conduct disease diagnoses at ease. Experiments of automated… read more here.
Keywords: learning model; abnormalities retinal; images using; deep learning ... See more keywords
Introducing PneumNet—A Groundbreaking Dual Version Deep Learning Model for Pneumonia Disease Detection
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23116
Abstract: The Internet of Medical Things (IoMT) has revolutionized healthcare, particularly in ambient assisted living (AAL). Deep learning has emerged as a powerful tool for identifying disorders and making health‐related decisions. Pneumonia, a dangerous and contagious… read more here.
Keywords: deep learning; detection; pneumonia; pneumnet ... See more keywords
A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28237
Abstract: Recent studies showed the potential of MRI‐based deep learning (DL) for assessing treatment response in rectal cancer, but the role of MRI‐based DL in evaluating Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation remains unclear. read more here.
Keywords: kras mutation; rectal cancer; deep learning; learning model ... See more keywords
Development and validation of a deep learning model to diagnose COVID‐19 using time‐series heart rate values before the onset of symptoms
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Medical Virology"
DOI: 10.1002/jmv.28462
Abstract: One of the effective ways to minimize the spread of COVID‐19 infection is to diagnose it as early as possible before the onset of symptoms. In addition, if the infection can be simply diagnosed using… read more here.
Keywords: learning model; onset symptoms; diagnose covid; deep learning ... See more keywords
Paired PET‐MRI Deep Learning Model for Translating [11C]PiB to [18F]Florbetaben Amyloid Images
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.70168
Abstract: Amyloid PET imaging has been extensively employed in the noninvasive assessment of amyloid‐beta accumulation in Alzheimer's disease. Various amyloid radiotracers are commonly used in clinical settings; however, the limited interchangeability among these radiotracers hinders the… read more here.
Keywords: deep learning; mri deep; pet mri; paired pet ... See more keywords
A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28808
Abstract: With rising safety concerns over the use of gadolinium‐based contrast agents (GBCAs) in contrast‐enhanced MRI, there is a need for dose reduction while maintaining diagnostic capability. This work proposes comprehensive technical solutions for a deep… read more here.
Keywords: contrast; deep learning; contrast enhanced; learning model ... See more keywords
A new deep‐learning model using YOLOv3 to support sperm selection during intracytoplasmic sperm injection procedure
Sign Up to like & getrecommendations! Published in 2022 at "Reproductive Medicine and Biology"
DOI: 10.1002/rmb2.12454
Abstract: To create and evaluate a machine‐learning model for YOLOv3 that can simultaneously perform morphological evaluation and tracking in a short time, which can be adapted to video data under an inverted microscope. read more here.
Keywords: learning model; new deep; model using; deep learning ... See more keywords