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Medical malpractice litigation following humeral fractures in the United States.
Shoulder Elbow
January 2025
Rothman Orthopaedic Institute, Paramus, NJ, USA.
Background: The purpose of this study is to characterize malpractice claims against orthopedic surgeons treating humeral fractures and determine factors associated with plaintiff verdicts and settlements.
Methods: The Westlaw legal database was queried for all cases involving humeral fractures. Patient demographics, causes cited for litigation, case outcomes, and indemnity payments were collected to determine common factors that lead plaintiffs to pursue legal action.
Ethical Considerations for Dermatologists in Completing Disability Forms.
J Am Acad Dermatol
January 2025
Department of Dermatology, University of Connecticut, Farmington, CT, USA; Department of Dermatology, University of Florida, Gainesville, FL, USA. Electronic address:
Controversies in the Application of AI in Radiology-Is There Medico-Legal Support? Aspects from Romanian Practice.
Diagnostics (Basel)
January 2025
Department XV, Clinic of Radiology and Medical Imaging, "VictorBabes" University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania.
: Artificial intelligence (AI) is gaining an increasing amount of influence in various fields, including medicine. In radiology, where diagnoses are based on collaboration between diagnostic devices and the professional experience of radiologists, AI intervention seems much easier than in other fields, but this is often not the case. Many times, the patients orient themselves according to the doctor, which is not applicable in the case of AI.
View Article and Find Full Text PDFNew Insights into the Quality Control Strategies of Inula racemosa Hook. F. (Pushkarmula) and Saussurea lappa Decne. (Kuth): Medicinal Crops of Alpine Himalaya.
J Chromatogr Sci
January 2025
Chemical Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, HP, India.
Adulteration and illegal trade of Saussurea lappa in the name of Inula racemosa is a major issue. Therefore, accurate and easy methods are required to control malpractice and define authenticity. The current study is focused on authenticating and defining quality control methods for I.
View Article and Find Full Text PDFPreventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability.
NPJ Digit Med
January 2025
Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
The integration of large language models (LLMs) into electronic health records offers potential benefits but raises significant ethical, legal, and operational concerns, including unconsented data use, lack of governance, and AI-related malpractice accountability. Sycophancy, feedback loop bias, and data reuse risk amplifying errors without proper oversight. To safeguard patients, especially the vulnerable, clinicians must advocate for patient-centered education, ethical practices, and robust oversight to prevent harm.
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