Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning by Jun Byung Park, Jinjoo Choi, Jae Yoon Na, Seung Hyun Kim, Hyun-Kyung Park, Seung Yang, Sung Ho Cho

“…The radar-based WHR measurements were compared to conventional clinician measurements. Participants were classified into low (WHR < 0.86), moderate (≥ 0.86, < 0.91) and high WHR (≥ 0.91) groups, and the classifications were compared. …”
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Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol. by Fiona Leonard, Dympna O'Sullivan, John Gilligan, Nicola O'Shea, Michael J Barrett

“…<h4>Introduction</h4>Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. …”
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Application of Cancer Genomics to Solve Unmet Clinical Needs by Se-Hoon Lee, Sung Hoon Sim, Ji-Yeon Kim, SooJin Cha, Ahnah Song

“…We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. …”
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Evaluation of a driving clinical decision pathway for generalist occupational therapists: Pilot test of practice change by Hayley M. Scott, Anne M. Baker, Carolyn A. Unsworth

“…Descriptive statistics and content analysis were used to analyse and compare data over time.Results Timepoint-1 data from 102 client medical records, and 13 clinician surveys were compared against Timepoint-2 data from 144 records and 8 surveys. …”
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Management of Class I and Class II Amalgam Restorations with Localized Defects: Five-Year Results by Javier Martin, Eduardo Fernandez, Juan Estay, Valeria V. Gordan, Ivar Andreas Mjör, Gustavo Moncada

“…The results suggest that repair treatment is as effective as total replacement of restorations with localized defects, reducing biological costs to the patient and providing new tools to the clinician. Refinishing restoration is a useful treatment for localized anatomic form defects.…”
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ANORECTAL PATHOLOGIES IN THE COURSE OF ACUTE LEUKAEMIAS: PREDICTIVE PARAMETERS by Fatma Yılmaz, Bugra Saglam, Ufuk Gorduk, Ugur Kalan, Hacer Berna Afacan Öztürk, Ahmet Kursad Gunes, Murat Albayrak

“…Having predictive parameters that may help for early intervention will help the clinician. This is the first study in the literature comparing a control group and a group with anorectal pathologies in leukaemia patients and providing a cut-off for WBC. …”
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Effect of laser and light emitting diode bleaching techniques on micro-leakage of dental composite postoperatively using two different bonding systems by Shalaw S. Jawhar, Bassam K. Amin

“…Conclusion: Under the conditions of this study, micro-leakage of composite resin restorations differs according to the bleaching techniques used with no significant difference was found between the adhesive systems, and restorations post bleaching procedure was necessitate replacing by the clinician due adverse effects on tooth restoration interface. …”
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Physical and occupational therapy service delivery models for populations identified as hard-to-reach: A scoping review. by Kenneth S Noguchi, Muhib Masrur, Lori Letts, Susanne Sinclair, Sarah Wojkowski, Julie Richardson

“…Common rehabilitation needs (e.g., clinician to client connectivity), barriers (e.g., high transportation costs) and facilitators (e.g., encouragement) were identified among the various populations, mainly due to intersecting identities such as those who are both traumatized and refugees. …”
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A Qualitative Exploration of Stakeholders’ Preferences for Early-Stage Rectal Cancer Treatment by Merrill E. Rubens, Timothy P. Mayo, Radhika K. Smith, Sean C. Glasgow, Mary C. Politi

“…Clinicians included surgeons, medical oncologists, and radiation oncologists who treat rectal cancer. …”
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Gambaran Castelli’s Risk Index-1 pada Pasien Sindrom Koroner Akut di RSUP Dr. M. Djamil Padang by Eka Musmita Sabebegen, Rismawati Yaswir, Efrida Efrida

“…The population was all ACS patients who have been diagnosed by the clinician. The samples were part of the population that meet the inclusion and exclusion criteria. …”
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A pediatric emergency prediction model using natural language process in the pediatric emergency department by Arum Choi, Chohee Kim, Jisu Ryoo, Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Junyeong Kim, Changhee Lee, Woori Bae

“…Various NLP models, including four machine learning (ML) models with Term Frequency-Inverse Document Frequency (TF-IDF) and two DL models based on the KM-BERT framework, were trained to differentiate emergency cases using clinician transcripts. Gradient Boosting, among the ML models, performed best with an AUROC of 0.715, AUPRC of 0.778, and F1-score of 0.677. …”
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School-Based Health Center Intervention Improves Body Mass Index in Overweight and Obese Adolescents by Alberta S. Kong, Andrew L. Sussman, Carolina Yahne, Betty J. Skipper, Mark R. Burge, Sally M. Davis

“…An educational nutrition and physical activity DVD for students and a clinician toolkit were created for use as menu of options. …”
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Study of the Long-Term Results of Decompressive Craniectomy after Severe Traumatic Brain Injury Based on a Series of 60 Consecutive Cases by Gaétane Gouello, Olivier Hamel, Karim Asehnoune, Eric Bord, Roger Robert, Kevin Buffenoir

“…Finally, the predictive value of preoperative parameters to guide the clinician’s decision to perform craniectomy was studied. …”
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Single online self-compassion writing intervention reduces anxiety: With the feedback of ChatGPT by Tomoko Kishimoto, Ximing Hao, Trimble Chang, Zhiye Luo

“…With the aim of universal prevention, there is still a lack of non-clinician-led or self-help interventions designed for the general population experiencing psychological distress. …”
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Neisseria Gonorrhoeae Spontaneous Bacterial Peritonitis by George Mwandia, Ryan Q. Simon, Hari Polenakovik, Katelyn J. Booher

“…It is important for the clinician to be aware of gonococcus as a rare but potential pathogen in SBP. …”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…Through the synergistic approach of integrating AI across diverse data sets, clinicians gain a holistic view of patient health and potential risks. …”
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Treatment approaches for idiopathic retroperitoneal fibrosis: a systematic review with meta-analysis by Annik Steimer, Mike O. Becker

“…Conclusions Considering the lack of clear evidence indicating that one drug is more effective than the other, the treatment choice should depend on factors such as the potential side effects of different drug therapies, patient comorbidities, and clinician expertise. The review protocol is registered on PROSPERO under the identification number CRD42019115744.…”
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Use of miRNAs as Biomarkers in Sepsis by Raluca Dumache, Alexandru Florin Rogobete, Ovidiu Horea Bedreag, Mirela Sarandan, Alina Carmen Cradigati, Marius Papurica, Corina Maria Dumbuleu, Radu Nartita, Dorel Sandesc

“…Moreover, monitoring, evaluation, and therapy management often become extremely difficult for the clinician in this type of patients. Current methods of diagnosing sepsis vary based especially on the determination of biochemical-humoral markers, such as cytokines, components of the complement, and proinflammatory and anti-inflammatory compounds. …”
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Large-Scale Survey of Unselected Automated Visual Fields in a Major Reading Center: Patterns and Data Analysis by Lilly Zborowski-Naveh, Rita Ehrlich, Moshe Luski, Dov Weinberger, Mona Boaz, Dan D. Gaton

“…A prospective, randomized study was conducted to survey a large number of automated perimetry examinations in a central reading institute, obtaining practical information on unselected referred patients and their clinician “consumers”. Visual field records of 1041 patients were obtained, each evaluated by one of three glaucoma specialists. …”
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Testing the psychometric properties of the risk-rescue rating scale: a lethality measure for suicide attempts by Tormod Stangeland, Ketil Hanssen-Bauer, Johan Siqveland

“…In this study, we recruited 28 clinicians with professional backgrounds typical of Norwegian mental health personnel. …”
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