AIMC Topic: Internal Medicine
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Using interpretable survival analysis to assess hospital length of stay.
BMC health services research
May 22, 2025
Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and health policy decision-makers. It assists with decision-making and informs hospital operations involving factors such as patient flow, elective cases, a...
Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.
BMC medical education
Apr 22, 2025
BACKGROUND: Objective measures and large datasets are needed to determine aspects of the Clinical Learning Environment (CLE) impacting the essential skill of clinical reasoning documentation. Artificial Intelligence (AI) offers a solution. Here, the ...
Comprehensive analyses: Using machine learning models for mortality prediction in the intensive care unit of internal medicine.
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Apr 9, 2025
Mortality prediction in the intensive care unit (ICU) is essential in patient management. Emerging methods such as machine learning (ML) can be employed to predict ICU patients' mortality. Patients receiving treatment in the ICU of the internal medic...
Enhancing diagnostic accuracy of thyroid nodules: integrating self-learning and artificial intelligence in clinical training.
Endocrine
Feb 20, 2025
PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training for distinguishing between benign and malignant thyroid nodules.
Consensus Between Radiologists, Specialists in Internal Medicine, and AI Software on Chest X-Rays in a Hospital-at-Home Service: Prospective Observational Study.
JMIR formative research
Dec 24, 2024
BACKGROUND: Home hospitalization is a care modality growing in popularity worldwide. Telemedicine-driven hospital-at-home (HAH) services could replace traditional hospital departments for selected patients. Chest x-rays typically serve as a key diagn...
Medical language matters: impact of clinical summary composition on a generative artificial intelligence's diagnostic accuracy.
Diagnosis (Berlin, Germany)
Dec 12, 2024
OBJECTIVES: Evaluate the impact of problem representation (PR) characteristics on Generative Artificial Intelligence (GAI) diagnostic accuracy.
Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine.
Journal of general internal medicine
Nov 12, 2024
Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but serious questions remain about how to balance the promise of generative AI against unintended conse...
Clinical evaluation of a machine learning-based early warning system for patient deterioration.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Sep 15, 2024
BACKGROUND: The implementation and clinical impact of machine learning-based early warning systems for patient deterioration in hospitals have not been well described. We sought to describe the implementation and evaluation of a multifaceted, real-ti...
Internal Medicine Year in Review 2023.
Internal medicine (Tokyo, Japan)
Sep 4, 2024
The year 2023 marked a significant change for Internal Medicine, as the number of submissions related to the novel coronavirus infection (COVID-19) declined significantly and interest shifted to other disease fields and research areas. Our journal pu...
Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.
BMC medical ethics
Jul 18, 2024
BACKGROUND: Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study e...
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