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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)

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Diagnostic and comparative performance for the prediction of tuberculous pleural effusion using machine learning algorithms

by Liu, Yanqing, Liang, Zhigang, Yang, Jing, Yuan, Songbo, Wang, Shanshan, Huang, Weina, Wu, Aihua
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)

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Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

by Raciti, Patricia, Sue, Jillian, Retamero, Juan A., Ceballos, Rodrigo, Godrich, Ran, Kunz, Jeremy D., Casson, Adam, Thiagarajan, Dilip, Ebrahimzadeh, Zahra, Viret, Julian, Lee, Donghun, Schüffler, Peter J., DeMuth, George, Gulturk, Emre, Kanan, Christopher, Rothrock, Brandon, Reis-Filho, Jorge, Klimstra, David S., Reuter, Victor, Fuchs, Thomas J.
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)

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Metaverse-based deep learning framework for coronary artery stenosis classification using Monte Carlo Dropout-based ResNet-152

by Sivaranjani, T, Sasikumar, B, Sugitha, G
Published in Computers in biology and medicine (01.09.2025)

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How artificial intelligence might disrupt diagnostics in hematology in the near future

by Walter, Wencke, Haferlach, Claudia, Nadarajah, Niroshan, Schmidts, Ines, Kühn, Constanze, Kern, Wolfgang, Haferlach, Torsten
Published in Oncogene (24.06.2021)

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AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation

by Zou, Xuan, He, Weijie, Huang, Yu, Ouyang, Yi, Zhang, Zhen, Wu, Yu, Wu, Yongsheng, Feng, Lili, Wu, Sheng, Yang, Mengqi, Chen, Xuyan, Zheng, Yefeng, Jiang, Rui, Chen, Ting
Published in Journal of medical Internet research (23.08.2024)

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A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

by Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)

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Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System

by Sekhar, Ardhendu, Biswas, Soumen, Hazra, Ranjay, Sunaniya, Arun Kumar, Mukherjee, Amrit, Yang, Lixia
Published in IEEE journal of biomedical and health informatics (01.03.2022)

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Development of a Machine-Learning Algorithm to Identify Cauda Equina Compression on Magnetic Resonance Imaging Scans

by Biswas, Sayan, Sarkar, Ved, MacArthur, Joshua Ian, Guo, Li, Deng, Xutao, Snowdon, Ella, Ahmed, Hamza, Tetlow, Callum, George, K. Joshi
Published in World neurosurgery (01.03.2025)

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Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women

by Das, Reena, Saleh, Sarkaft, Nielsen, Izabela, Kaviraj, Anilava, Sharma, Prashant, Dey, Kartick, Saha, Subrata
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)

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Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics

by Li, Joy Qiaoyi, Dukes, Priya Vohra, Lee, Walter, Sarkis, Michael, Vo‐Dinh, Tuan
Published in Journal of Raman spectroscopy (01.12.2022)

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Machine intelligence in non-invasive endocrine cancer diagnostics

by Thomasian, Nicole M., Kamel, Ihab R., Bai, Harrison X.
Published in Nature reviews. Endocrinology (01.02.2022)

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Consumer electronics based smart technologies for enhanced terahertz healthcare having an integration of split learning with medical imaging

by Satpathy, Sambit, Khalaf, Osamah Ibrahim, Shukla, Dhirendra Kumar, Algburi, Sameer, Hamam, Habib
Published in Scientific reports (06.05.2024)

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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases

Published in JAMA ophthalmology (01.10.2020)

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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

by Burlina, Philippe, Billings, Seth, Joshi, Neil, Albayda, Jemima
Published in PloS one (30.08.2017)

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Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device: Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device

by Zhou, Menglian, Sharma, Ruchi, Zhu, Hongbo, Li, Ziqi, Li, Jiliang, Wang, Shiyu, Bisco, Erin, Massey, Justin, Pennington, Amanda, Sjoding, Michael, Dickson, Robert P., Park, Pauline, Hyzy, Robert, Napolitano, Lena, Gillies, Christopher E., Ward, Kevin R., Fan, Xudong
Published in Analytical and bioanalytical chemistry (01.09.2019)

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Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

by Jin, Weiwei, Chowienczyk, Philip, Alastruey, Jordi
Published in PloS one (28.06.2021)

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One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics

by Jones, William S., Farrow, Daniel J.
Published in Scientific reports (09.04.2025)

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A Novel and Secure Machine Learning-Based Hyperledger Blockchain for IoT Healthcare

by Aslam, Sidra, Aslam, Saba, Wang, Taotao, Feng, Daquan, Zhang, Shengli
Published in IEEE internet of things journal (01.08.2025)

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

by Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R
Published in JAMA : the journal of the American Medical Association (13.12.2016)

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