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Physician-Patient Relationships: Obligations and Avoiding Sexual Misconduct Pitfalls.
Am Fam Physician
January 2025
California Department of Justice, Health Quality Enforcement Section, Los Angeles.
Decoding the Rejection Code: Understanding Why Articles Get Axed.
Cureus
March 2024
Internal Medicine, Dev Medical Hospital, Vadodara, IND.
In the competitive arena of medical publishing, manuscript rejection remains a significant barrier to disseminating research findings. This editorial delves into the multifaceted nature of manuscript rejection, elucidating common reasons and proposing actionable strategies for authors to enhance their chances of acceptance. Key rejection factors include a mismatch with journal scope, lack of novelty, methodological flaws, inconclusive results, ethical issues, poor presentation, data inaccessibility, author misconduct, and plagiarism.
View Article and Find Full Text PDFHarnessing the potential of large language models in medical education: promise and pitfalls.
J Am Med Inform Assoc
February 2024
Department of Surgery, University of Michigan Medical School, Ann Arbor, MI 48109, United States.
Objectives: To provide balanced consideration of the opportunities and challenges associated with integrating Large Language Models (LLMs) throughout the medical school continuum.
Process: Narrative review of published literature contextualized by current reports of LLM application in medical education.
Conclusions: LLMs like OpenAI's ChatGPT can potentially revolutionize traditional teaching methodologies.
Research Misconduct Investigations in China's Science Funding System.
Sci Eng Ethics
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School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, 200433, China.
As stewards of public money, government funding agencies have the obligation and responsibility to uphold the integrity of funded research. Despite an increasing amount of empirical studies examining research-related misconduct, a majority of these studies focus on retracted publications. How agencies spot funding-relevant wrongdoing and what sanctions the offenders face remain largely unexplored.
View Article and Find Full Text PDFPitfalls in training and validation of deep learning systems.
Best Pract Res Clin Gastroenterol
July 2021
Department of Gastroenterology and Hepatology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium; Department of Translational Research in Gastrointestinal Diseases (TARGID), Catholic University Leuven, Herestraat 49, 3000, Leuven, Belgium. Electronic address:
The number of publications in endoscopic journals that present deep learning applications has risen tremendously over the past years. Deep learning has shown great promise for automated detection, diagnosis and quality improvement in endoscopy. However, the interdisciplinary nature of these works has undoubtedly made it more difficult to estimate their value and applicability.
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