Results 21 to 30 of about 6,795,603 (372)
Journal of General and Family Medicine, 2020 Background A recent investigation reported that 92.7% Japanese family physicians have prescribed Kampo medicine (KM). KM can treat a wide variety of conditions from mental disorders to physical weaknesses.
Shin Takayama +11 more
doaj +1 more source
The skin in general medicine [PDF]
Clinical Medicine, 2009 Cutaneous manifestations of systemic disorders are common in general medicine and can be important presenting features of internal disease.[1][1],[2][2] This review is not comprehensive but highlights the most frequent and important entities. ### Lyme disease (or borreliosis) The most common tick-
Malcolm H.A. Rustin, S. Dhoat
openaire +3 more sources
Construction and practice of an innovative general education course of “Medicine + Humanity” under the background of New Medicine [PDF]
Jichu yixue yu linchuang, 2022 With the advance of the construction of “New Medicine”, the establishment of interdisciplinary and innovative courses has become an urgent work and challenge.
CUI Yan
doaj +1 more source
Conditional Generation Net for Medication Recommendation [PDF]
, 2022 Medication recommendation targets to provide a proper set of medicines according to patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is manually conducted by doctors. However, for complicated cases, like patients with multiple diseases at the same time, it's difficult to propose a considerate recommendation even ...
arxiv +1 more source
Generic medicines are not substandard medicines [PDF]
The Lancet, 2002 Sir—Carol Adelman and Jeremiah Norris (Dec 22/29, p 2174), who work for the industry-funded Hudson Institute, advocate the use of patented drugs, pointing to what they say are risks associated with generic drugs. They confuse generic drugs with old, substandard, ineffective, and counterfeit drugs. Generic does not mean old.
Carol C Adelman, Jeremiah Norris
openaire +3 more sources
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application [PDF]
arXiv, 2022 Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong dosage generally causes the disease to worsen. Although, all relevant instructions for a medicine are summarized in the corresponding patient information leaflet, the latter
arxiv
Entrustability levels of general internal medicine residents
BMC Medical Education, 2021 Background Entrustable professional activities (EPAs) are those activities that a health professional can perform without direct supervision in a defined environment. Bridging the gap between competencies and learning objectives, EPAs have made assessing
Mostafa Dehghani Poudeh +3 more
doaj +1 more source
Domain-adapted large language models for classifying nuclear medicine reports [PDF]
arXiv, 2023 With the growing use of transformer-based language models in medicine, it is unclear how well these models generalize to nuclear medicine which has domain-specific vocabulary and unique reporting styles. In this study, we evaluated the value of domain adaptation in nuclear medicine by adapting language models for the purpose of 5-point Deauville score ...
arxiv
Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations [PDF]
arXiv, 2023 This paper explores the potential opportunities, risks, and challenges associated with the use of large language models (LLMs) in sports science and medicine. LLMs are large neural networks with transformer style architectures trained on vast amounts of textual data, and typically refined with human feedback.
arxiv
Weakly supervised information extraction from inscrutable handwritten document images [PDF]
arXiv, 2023 State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still remain a challenge. Adapting existing models to domain-specific training data is quite expensive, because of two factors, 1) limited availability of the domain-specific ...
arxiv