Recommendations for Lung Ultrasound in Internal Medicine
A growing amount of evidence prompts us to update the first version of recommendations for lung ultrasound in internal medicine (POLLUS-IM) that was published in 2018.
N. Buda+12 more
semanticscholar +1 more source
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma [PDF]
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle this problem with multi-instance multi-label learning to address the difficulties on label correlations, label representations, etc.
arxiv +1 more source
Assessment of Subspecialty Choices of Men and Women in Internal Medicine From 1991 to 2016.
This case series examines the percentage of women residencies and fellowships in 9 internal medicine medical subspecialties from 1991 to 2016.
Anna T Stone+4 more
semanticscholar +1 more source
Diagnostic reasoning in internal medicine: a practical reappraisal
The practice of clinical medicine needs to be a very flexible discipline which can adapt promptly to continuously changing surrounding events. Despite the huge advances and progress made in recent decades, clinical reasoning to achieve an accurate ...
G. Corazza, M. Lenti, P. Howdle
semanticscholar +1 more source
Personalized medicine in internal medicine
Personalized medicine - a new direction in medicine, which is based on the study of various biomarkers and the use of new methods of molecular analysis (primarily evaluating the activity of isoenzymes of cytochrome P450), allowing individualized approach to the selection of both the drugs and the selection of the dosing regimen for the purpose of ...
V.F. Marinin+12 more
openaire +3 more sources
n ...
Petren, Karl, Faber, Knud, Hoist, P. F.
openaire +3 more sources
GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors [PDF]
Traditional Korean medicine (TKM) emphasizes individualized diagnosis and treatment. This uniqueness makes AI modeling difficult due to limited data and implicit processes. Large language models (LLMs) have demonstrated impressive medical inference, even without advanced training in medical texts.
arxiv +1 more source
The association of types of training and practice settings with doctors’ empathy and patient enablement among patients with chronic illness in Hong Kong [PDF]
Background: The increase in non-communicable disease (NCD) is becoming a global health problem and there is an increasing need for primary care doctors to look after these patients although whether family doctors are adequately trained and prepared is ...
Fung, Colman S.C.+7 more
core +3 more sources
Comment to Impact of Daylight Saving Time on circadian timing system: An expert statement [PDF]
1000 words comment on a paper published in the European Journal of Internal Medicine by a panel of experts. My point is authors address the magnitude of the change (one hour) but fail to consider in any way its seasonal features. DST is not a random change of an hour but an specific change on specific dates and in a specific direction ---spring forward,
arxiv +1 more source
TOPAS-MC Extension for Nuclear Medicine Applications [PDF]
Monte Carlo (MC) techniques are currently deemed the gold standard for internal dosimetry, since the simulations can perform full radiation transport and reach a precision level not attainable by analytical methods. In this study, a custom voxelized particle source was developed for the TOPAS-MC toolkit to be used for internal dosimetry purposes.
arxiv