Example of Utilizing RobotStudio for Simulating a Solution in the Medical Sector [PDF]
Problemy MechatronikiIn recent years, there has been a growing interest in the use of robots in medicine. The article discusses, in general terms, exemplary robot solutions in the medical sector.
Natalia DANIEL (natalia.daniel@wat.edu.pl) +2 more
doaj +1 more source
Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm [PDF]
BIO Web of Conferences, 2023 Intelligent algorithms such as deep learning and parallel processing technologies such as mobile clouds are constantly evolving, heralding a new era of intelligence.
Ren Hongfei
doaj +1 more source
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
Analyzing user-generated online content for drug discovery: Development and use of MedCrawler [PDF]
, 2016 Motivation: Ethnopharmacology, or the scientific validation of traditional medicine, is a respected starting point in drug discovery. Home remedies and traditional use of plants are still widespread, also in Western societies. Instead of perusing ancient
Helfenstein, Andreas, Tammela, Päivi
core +1 more source
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
Artificial intelligence and medical education: a global mixed-methods study of medical students’ perspectives [PDF]
, 2022 Objective: Medical students, as clinicians and healthcare leaders of the future, are key stakeholders in the clinical roll-out of artificial intelligence-driven technologies.
Ejaz, Hamza +5 more
core +3 more sources
Statistical Data Modeling and Machine Learning with Applications [PDF]
, 2022 The modeling and processing of empirical data is one of the main subjects and goals of statistics. Nowadays, with the development of computer science, the extraction of useful and often hidden information and patterns from data sets of different volumes ...
core +1 more source
Integration of computer-simulated practical exercises into undergraduate medical pharmacology education at Mulungushi University, Zambia [PDF]
Journal of Educational Evaluation for Health Professions, 2020 Purpose This study was conducted to determine whether a computer simulation of practical exercises in undergraduate medical pharmacology led to the realization of the intended learning outcomes.
Christian Chinyere Ezeala
doaj +1 more source
Chinese Herbal Medicine Image Recognition and Retrieval by Convolutional Neural Network. [PDF]
PLoS ONE, 2016 Chinese herbal medicine image recognition and retrieval have great potential of practical applications. Several previous studies have focused on the recognition with hand-crafted image features, but there are two limitations in them.
Xin Sun, Huinan Qian
doaj +1 more source
Artificial Intelligence and Medicine: A literature review [PDF]
arXiv, 2022 In practically every industry today, artificial intelligence is one of the most effective ways for machines to assist humans. Since its inception, a large number of researchers throughout the globe have been pioneering the application of artificial intelligence in medicine.
arxiv