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638 results on '"Ramakrishnan, Vijay R."'

8. Clinical Olfactory Working Group consensus statement on the treatment of postinfectious olfactory dysfunction

Author

Addison, Alfred B., Wong, Billy, Ahmed, Tanzime, Macchi, Alberto, Konstantinidis, Iordanis, Huart, Caroline, Frasnelli, Johannes, Fjaeldstad, Alexander W., Ramakrishnan, Vijay R., Rombaux, Philippe, Whitcroft, Katherine L., Holbrook, Eric H., Poletti, Sophia C., Hsieh, Julien W., Landis, Basile N., Boardman, James, Welge-Lüssen, Antje, Maru, Devina, Hummel, Thomas, and Philpott, Carl M.

Published
2021
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12. Features of Importance in Nasal Endoscopy: Deriving a Meaningful Framework.

Author

Babahaji, Layla M., Ganeshan, Vinayak, Nguyen, Thinh S., Ahmed, Omar, Barton, Blair M., Chandra, Rakesh, Chen, Philip G., Gudis, David A., Halawi, Akaber, Higgins, Thomas S., Joe, Stephanie A., Kuan, Edward C., Marino, Michael J., Patel, Zara M., Ramakrishnan, Vijay R., Rangarajan, Sanjeet V., Riley, Charles A., Roxbury, Christopher R., Tabaee, Abtin, and Tang, Dennis M.

Abstract

Objective: Critical components of the nasal endoscopic examination have not been definitively established for either the normal examination or for clinical disorders. This study aimed to identify concordance among rhinologists regarding the importance of examination findings for various nasal pathologies. Study Design: A consortium of 19 expert rhinologists across the United States was asked to rank the importance of findings on nasal endoscopy for 5 different sinonasal symptom presentations. Setting: An online questionnaire was distributed in July 2023. Methods: The questionnaire utilized JotForm® software and featured 5 cases with a set of 4 identical questions per case, each covering a common indication for nasal endoscopy. Rankings were synthesized into Normalized Attention Scores (NASs) and Weighted Normalized Attention Scores (W‐NASs) to represent the perceived importance of each feature, scaled from 0 to 1. Results: General concordance was found for examination findings on nasal endoscopy within each case. The perceived features of importance differed between cases based on clinical presentation. For instance, in evaluating postnasal drip, the middle meatus was selected as the most important structure to examine (NAS, 0.73), with mucus selected as the most important abnormal finding (W‐NAS, 0.66). The primary feature of interest for mucus was whether it was purulent or not (W‐NAS, 0.67). Similar analyses were performed for features in each case. Conclusion: The implicit framework existing among rhinologists may help standardize examinations and improve diagnostic accuracy, augment the instruction of trainees, and inform the development of artificially intelligent algorithms to enhance clinical decision‐making during nasal endoscopy. [ABSTRACT FROM AUTHOR]

Published
2024
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14. The Impact of Acute Peri-operative Particulate Matter Exposure on Endoscopic Sinus Surgery Outcomes: A Preliminary Multi-site Investigation

Author

Tullis, Benton, primary, Mace, Jess C., additional, Hagedorn, Robert, additional, Nguyen, Cassidy, additional, Stockard, Ryan, additional, Massey, Conner, additional, Ramakrishnan, Vijay R., additional, Beswick, Daniel M., additional, Soler, Zachary M., additional, Smith, Timothy L., additional, Alt, Jeremiah A., additional, and Gill, Amarbir S., additional

Published
2024
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27. All chronic rhinosinusitis endotype clusters demonstrate improvement in patient‐reported and clinical outcome measures after endoscopic sinus surgery

Author

Chapurin, Nikita, primary, Schlosser, Rodney J., additional, Gutierrez, Jorge, additional, Mace, Jess C., additional, Smith, Timothy L., additional, Bodner, Todd E., additional, Khan, Sofia, additional, Mulligan, Jennifer K., additional, Mattos, Jose L., additional, Alt, Jeremiah A., additional, Ramakrishnan, Vijay R., additional, and Soler, Zachary M., additional

Published
2023
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33. Contributors

Author

Adappa, Nithin D., primary, Adelson, Robert T., additional, Antunes, Marcelo, additional, Balsalobre, Leonardo, additional, Barham, Henry P., additional, Becker, Daniel G., additional, Becker, Samuel S., additional, Bleier, Benjamin S., additional, Chandra, Rakesh, additional, Chiu, Alexander G., additional, Choby, Garret, additional, Citardi, Martin J., additional, Cohen, Noam, additional, Conley, David B., additional, Fakhri, Samer, additional, Ference, Elisabeth H., additional, Govindaraj, Satish, additional, Grayson, Jessica, additional, Harsh, Griffith R., additional, Harvey, Richard J., additional, Hwang, Peter H., additional, Iloreta, Alfred Marc C., additional, Joe, Stephanie A., additional, Kingdom, Todd T., additional, Kuan, Edward C., additional, Lee, Jivianne T., additional, Lee, John M., additional, Leung, Randy, additional, Lobo, Brian C., additional, Luong, Amber U., additional, Lupa, Michael, additional, Man, Li-Xing, additional, Mantravadi, Avinash V., additional, Mattos, Jose, additional, Miyake, Marcel Menon, additional, Naidoo, Yuresh, additional, Nayak, Jayakar V., additional, O’Malley, Bert W., additional, Orlandi, Richard, additional, Palmer, James N., additional, Parasher, Arjun, additional, Pearlman, Aaron N., additional, Nagata Pignatari, Shirley Shizue, additional, Ramakrishnan, Vijay R., additional, Reed, Jeremy, additional, Sacks, Raymond, additional, Sansoni, E. Ritter, additional, Schlosser, Rodney, additional, Sindwani, Raj, additional, Sivasubramaniam, Rahuram, additional, Stamm, Aldo Cassol, additional, Suh, Jeffrey D., additional, Thamboo, Andrew, additional, Vaezeafshar, Reza, additional, Vandergrift, William A., additional, Wang, Eric W., additional, Wei, Calvin, additional, Welch, Kevin C., additional, Woodworth, Bradford A., additional, Wormald, P.J., additional, and Yip, Jonathan, additional

Published
2019
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36. Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study.

Author

Asokan, Annapoorani, Massey, Conner J., Tietbohl, Caroline, Kroenke, Kurt, Morris, Megan, and Ramakrishnan, Vijay R.

Subjects
ARTIFICIAL intelligence, NOSE, PHYSICIAN-patient relations, PHYSICIANS, PATIENT satisfaction
Abstract

Objective: The study aimed to investigate otolaryngologists' knowledge, trust, acceptance, and concerns with clinical applications of artificial intelligence (AI). Methods: This study used mixed methods with survey and semistructured interviews. Survey was e‐mailed to American Rhinologic Society members, of which a volunteer sample of 86 members responded. Nineteen otolaryngologists were purposefully recruited and interviewed until thematic saturation was achieved. Results: Seventy‐six respondents (10% response rate) completed the majority of the survey: 49% worked in academic settings and 43% completed residency 10 or fewer years ago. Of 19 interviewees, 58% worked in academic settings, and 47% completed residency 10 or fewer years ago. Familiarity: Only 8% of survey respondents reported having AI training in residency, although 72% had familiarity with general AI concepts; 0 interviewees had personal experience with AI in clinical settings. Expected uses: Of the surveyed otolaryngologists, 82% would use an AI‐based clinical decision aid and 74% were comfortable with AI proposing treatment recommendations. However, only 44% of participants would trust AI to identify malignancy and 53% to interpret radiographic images. Interviewees trusted AI for simple tasks, such as labeling septal deviation, more than complex ones, such as identifying tumors. Factors influencing AI adoption: 89% of survey participants would use AI if it improved patient satisfaction, 78% would be willing to use AI if experts and studies validated the technologies, and 73% would only use AI if it increased efficiency. Sixty‐one percent of survey respondents expected AI incorporation into clinical practice within 5 years. Interviewees emphasized that AI adoption depends on its similarity to their clinical judgment and to expert opinion. Concerns included nuanced or complex cases, poor design or accuracy, and the personal nature of physician‐patient relationships. Conclusion: Few physicians have experience with AI technologies but expect rapid adoption in the clinic, highlighting the urgent need for clinical education and research. Otolaryngologists are most receptive to AI "augmenting" physician expertise and administrative capacity, with respect for physician autonomy and maintaining relationships with patients. Level of Evidence: Level VI, descriptive or qualitative study. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Bacterial communities in the nasal passage of postviral olfactory dysfunction patients.

Author

Biswas, Kristi, Ramakrishnan, Vijay R., Hollemann, Elisabeth, Lorenz, Korinna, Wagner Mackenzie, Brett, Frank, Daniel N., Douglas, Richard G., and Hummel, Thomas

Subjects
*SMELL disorders, *BACTERIAL communities, *PARANASAL sinuses, *CORYNEBACTERIUM
Abstract

Key points: Bacterial composition is uniform in the sinuses of postviral olfactory dysfunction patients.Significant reduction of genus Corynebacterium in PVOD patients compared to controls. [ABSTRACT FROM AUTHOR]

Published
2023
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