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
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
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
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
Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07071-6
Abstract: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT. A cohort of 1414 SSNs, consisting of 319 transient SSNs in 168 individuals and 1095 persistent… read more here.
Keywords: learning model; model; transient persistent; transfer learning ... See more keywords
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-08247-4
Abstract: To develop a deep-learning (DL) model for identifying fresh VCFs from digital radiography (DR), with magnetic resonance imaging (MRI) as the reference standard. Patients with lumbar VCFs were retrospectively enrolled from January 2011 to May… read more here.
Keywords: identifying fresh; deep learning; model; performance ... See more keywords
Introduction of a learning model for type 1 loop excision of the transformation zone of the uterine cervix in undergraduate medical students: a prospective cohort study
Sign Up to like & getrecommendations! Published in 2018 at "Archives of Gynecology and Obstetrics"
DOI: 10.1007/s00404-018-5019-7
Abstract: PurposeWe address the impact of applying loop electrosurgical excision procedure (LEEP) under direct colposcopic vision teaching to our undergraduates using a self-developed simulation model and a standardized assessment to evaluate the progress of learning.MethodsThe undergraduate… read more here.
Keywords: uterine cervix; learning model; introduction learning; excision ... See more keywords