Risk factors for developing subglottic and tracheal stenosis from the medical intensive care unit by Robin B. Pappal, Clayton Prakash Burruss, Michael A. Witt, Christopher Harryman, Syed Z. Ali, Matthew L. Bush, Mark A. Fritz

“…Eighty six controls were identified with a complete record of endotracheal/tracheostomy tube size, airway procedures, sociodemographic data, and medical diagnosis. Regression analysis showed that SGS or TS were associated with tracheostomy, bronchoscopy, chronic obstructive pulmonary disease, current tobacco use, gastroesophageal reflux disease, systemic lupus erythematosus, pneumonia, bronchitis, and numerous medication classes. …”
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Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies by Emilio Ferrara

“…The significant advancements in applying artificial intelligence (AI) to healthcare decision-making, medical diagnosis, and other domains have simultaneously raised concerns about the fairness and bias of AI systems. …”
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Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images Using Machine Learning Techniques by Rodrigo S. Astolfi, Daniel S. da Silva, Ingrid S. Guedes, Caio S. Nascimento, Robertas Damaševičius, Senthil K. Jagatheesaperumal, Victor Hugo C. de Albuquerque, José Alberto D. Leite

“…Thus, finding new ways to analyze these injuries through novel technologies is critical for assisting medical diagnosis and, as a result, reducing the subjectivity of this process. …”
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General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study by Christoph Buck, Eileen Doctor, Jasmin Hennrich, Jan Jöhnk, Torsten Eymann

“…ObjectiveThis study aims to understand GPs’ attitudes toward AI-enabled systems in medical diagnosis. MethodsWe interviewed 18 GPs from Germany between March 2020 and May 2020 to identify determinants of GPs’ attitudes toward AI-based systems in diagnosis. …”
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Design, fabrication, and characterization of a high-field high-temperature superconducting Bi-2212 accelerator dipole magnet by Tengming Shen, Laura Garcia Fajardo, Cory Myers, Aurelio Hafalia, Jr., Jose Luis Rudeiros Fernández, Diego Arbelaez, Lucas Brouwer, Shlomo Caspi, Paolo Ferracin, Stephen Gourlay, Maxim Marchevsky, Ian Pong, Soren Prestemon, Reed Teyber, Marcos Turqueti, Xiaorong Wang, Jianyi Jiang, Ernesto Bosque, Jun Lu, Daniel Davis, Ulf Trociewitz, Eric Hellstrom, David Larbalestier

“…The use of high-field superconducting magnets has furthered the development of medical diagnosis, fusion research, accelerators, and particle physics. …”
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Predicting the total Unified Parkinson’s Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update by Sahand Hamzehei, Omid Akbarzadeh, Hani Attar, Khosro Rezaee, Nazanin Fasihihour, Mohammad R. Khosravi

“…Machine Learning (ML) algorithms may lead to higher accuracy in medical diagnosis/prognosis based on health data provided by the sensors to help physicians in tracking symptom significance and treatment steps. …”
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Pharmacokinetics of Single Domain Antibodies and Conjugated Nanoparticles Using a Hybrid near Infrared Method by Shiran Su, Thomas J. Esparza, Duong Nguyen, Simone Mastrogiacomo, Joong H. Kim, David L. Brody

“…Iron oxide nanoparticles and single domain antibodies from camelids (VHHs) have been increasingly recognized for their potential uses for medical diagnosis and treatment. However, there have been relatively few detailed characterizations of their pharmacokinetics (PK). …”
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Health insurance financing and patient retention in care at diabetics and hypertension clinics in Dar es Salaam and Pwani regions, Tanzania. A cohort study. by Harrieth Manisha, Candida Moshiro, Ally Hussein, Fredrick Amani, Johnson Mshiu, Jaffar Shabbar, Sayoki Mfinanga

“…This study showed no effect of health insurance on retention in diabetic and hypertension care clinics. However, age, medical diagnosis, morbidity, and type of health facility attended were associated with retention in care.…”
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Novel aspects in diagnostic approach to respiratory patients: is it the time for a new semiotics? by Gino Soldati, Andrea Smargiassi, Alberto A. Mariani, Riccardo Inchingolo

“…The aim of this paper is to analyze some aspects of the reasoning process inherent in medical diagnosis in our era. Pathologic signs (anamnestic data, symptoms, semiotics, laboratory and strumental findings) represent informative phenomena to be integrated for inferring a diagnosis. …”
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Depression and anxiety among the University community during the Covid-19 pandemic: a study in Southern Brazil by HELENA S. SCHUCH, MARIANA G. CADEMARTORI, VALESCA D. DIAS, MATEUS L. LEVANDOWSKI, TIAGO N. MUNHOZ, PEDRO C. HALLAL, FLÁVIO F. DEMARCO

“…Those with a previous medical diagnosis of depression had a 58% (PR 1.58; 95%CI 1.44; 1.74) and anxiety a 72% (PR 1.72; 95%CI 1.56; 1.91) greater prevalence of depression than their peers. …”
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Biological particle separation techniques based on microfluidics by Saijie Wang, Quanchen Xu, Yanwei Cai, Qian Wang, Ying Liu, Dou Wang

“…Abstract Biological particle separation has wide applications in medical diagnosis, bioengineering, and various other domains. …”
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Deep Learning Classification for Diabetic Foot Thermograms by Israel Cruz-Vega, Daniel Hernandez-Contreras, Hayde Peregrina-Barreto, Jose de Jesus Rangel-Magdaleno, Juan Manuel Ramirez-Cortes

“…The high accuracy obtained shows the usefulness of AI and DL as auxiliary tools to aid during the medical diagnosis.…”
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Surface Micro-Patterned Biofunctionalized Hydrogel for Direct Nucleic Acid Hybridization Detection by Paola Zezza, María Isabel Lucío, Estrella Fernández, Ángel Maquieira, María-José Bañuls

“…The label-free biosensor as designed could significantly contribute to direct and accurate analysis in medical diagnosis as it is cheap, easy to fabricate, and works without the need for further reagents.…”
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Thermometric absorption spectroscopy through active locking of microbubble resonators by Gabriele Frigenti, Daniele Farnesi, Guglielmo Vesco, Guglielmo Vesco, Sonia Centi, Fulvio Ratto, Stefano Pelli, Tatyana V. Murzina, Gualtiero Nunzi Conti, Silvia Soria

“…These features make the MBR system an interesting candidate for the characterisation of extremely small samples in the context of medical diagnosis from whole biological samples, quality controls for food safety or chemical production processes, and, in general, for the measurement of absorption in opaque mediums.…”
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Pedophilia: Clinical Features, Etiology and Treatment by Ayten Erdogan

“…Child sexual abusement is not a medical diagnosis and is not necessarily a term synonymous with pedophilia. …”
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Evidence for an Intrathecal Immunoglobulin Synthesis by Kappa Free Light Chains in Neurological Patients with an Isolated Band in Isoelectric Focusing by Bastian Weiss, Alexander Pichler, Anna Damulina, Arabella Buchmann, Sonja Hochmeister, Thomas Seifert-Held, Christian Enzinger, Juan-Jose Archelos, Michael Khalil

“…We classified patients into 27× inflammatory neurological disorders (IND), 2× peripheral inflammatory neurological disorders (PIND), 9× non-inflammatory neurological disorders (NIND) and 9× symptomatic controls (SC) based on their medical diagnosis. k-FLC were below the lower measurement limit of the analyser (LML) in all SC and PIND, as well as in 8 out of 9 NIND and 11 IND. …”
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Aeroallergen Sensitization Status in South Korea From 2018 to 2021 by Intae Kim, Dohsik Minn, Suhyun Kim, Jin Kook Kim, Jae Hoon Cho

“…We analyzed data from 368,156 multiple allergosorbent tests collected by a domestic medical diagnosis company from 3,735 hospitals nationwide from 2018 to 2021. …”
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Plasma versus Serum Analysis by FTIR Spectroscopy to Capture the Human Physiological State by Rúben Araújo, Luís Ramalhete, Edna Ribeiro, Cecília Calado

“…Fourier Transform InfraRed spectroscopy of serum and plasma has been highly explored for medical diagnosis, due to its general simplicity, and high sensitivity and specificity. …”
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Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease by Jie Yang, Xiaomei Chen, Cainan Luo, Zhengfang Li, Chen Chen, Shibin Han, Xiaoyi Lv, Lijun Wu, Cheng Chen

“…This study shows that SERS technology based on annealed AgNPs/PSB composite substrate combined with deep learning algorithm has a greater developmental prospect and research value in the early identification and screening of immune diseases and chronic kidney disease, providing reference ideas for non-invasive and rapid clinical medical diagnosis of patients.…”
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SCSONet: spatial-channel synergistic optimization net for skin lesion segmentation by Haoyu Chen, Zexin Li, Xinyue Huang, Zhengwei Peng, Yichen Deng, Li Tang, Li Tang, Li Yin, Li Yin

“…In the field of computer-assisted medical diagnosis, developing medical image segmentation models that are both accurate and capable of real-time operation under limited computational resources is crucial. …”
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