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BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.
Sci Data
December 2024
Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.
View Article and Find Full Text PDFDietary quality, anaemia prevalence and their associated factors among rural school- going adolescents in Acholi sub -region of Uganda.
BMC Nutr
December 2024
Department of Food Science and Postharvest Technology, Faculty of Agriculture and Environment, Gulu University, P.O. Box 166, Gulu, Uganda.
Background: Globally, iron deficiency anaemia is a widespread public health problem affecting vulnerable populations including adolescents. However, over the years, the Uganda Demographic Health Surveys mostly report the status of anaemia for women of reproductive age (15-49 years) and children up to 5 years, leaving out the focus on adolescents. Moreover, high prevalence of anaemia among children below five years could suggest that anaemia still persists at adolescence.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFDevelopment of a prognostic scoring system for predicting hospitalization duration in postpartum endometritis.
BMC Pregnancy Childbirth
December 2024
Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
Background: We aim to identify risk factors contributing to extended rehospitalizations in patients diagnosed with postpartum endometritis requiring intravenous antibiotics.
Methods: This retrospective cohort study examined postpartum endometritis patients readmitted for treatment from 2014 to 2022, comparing short (≤ 48 h) and prolonged hospitalization (> 48 h). Data included patient demographics, medical history, presentation parameters, vaginal examination findings, sonographic data, laboratory results, and details of the current labor to create a scoring system predicting prolonged hospitalization risk.
Changing the culture: increasing captured intraoperative anaesthesia-related safety events through targeted interventions.
BMJ Open Qual
December 2024
Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Background: There is an under-reporting of anaesthesia-related safety events. Incident-capturing systems (ICSs) are essential for patient safety monitoring, identifying risks and ongoing opportunities for improvement. After a literature review and assessment of our current ICSs, we concluded that our institution lacked a reliable anaesthesia-specific ICS system, leading to under-reporting of anaesthesia-related safety events.
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