keyword
https://read.qxmd.com/read/38534904/chatgpt-s-response-consistency-a-study-on-repeated-queries-of-medical-examination-questions
#21
JOURNAL ARTICLE
Paul F Funk, Cosima C Hoch, Samuel Knoedler, Leonard Knoedler, Sebastian Cotofana, Giuseppe Sofo, Ali Bashiri Dezfouli, Barbara Wollenberg, Orlando Guntinas-Lichius, Michael Alfertshofer
(1) Background: As the field of artificial intelligence (AI) evolves, tools like ChatGPT are increasingly integrated into various domains of medicine, including medical education and research. Given the critical nature of medicine, it is of paramount importance that AI tools offer a high degree of reliability in the information they provide. (2) Methods: A total of n = 450 medical examination questions were manually entered into ChatGPT thrice, each for ChatGPT 3.5 and ChatGPT 4. The responses were collected, and their accuracy and consistency were statistically analyzed throughout the series of entries...
March 8, 2024: European journal of investigation in health, psychology and education
https://read.qxmd.com/read/38534847/application-of-machine-learning-in-the-quantitative-analysis-of-the-surface-characteristics-of-highly-abundant-cytoplasmic-proteins-toward-ai-based-biomimetics
#22
JOURNAL ARTICLE
Jooa Moon, Guanghao Hu, Tomohiro Hayashi
Proteins in the crowded environment of human cells have often been studied regarding nonspecific interactions, misfolding, and aggregation, which may cause cellular malfunction and disease. Specifically, proteins with high abundance are more susceptible to these issues due to the law of mass action. Therefore, the surfaces of highly abundant cytoplasmic (HAC) proteins directly exposed to the environment can exhibit specific physicochemical, structural, and geometrical characteristics that reduce nonspecific interactions and adapt to the environment...
March 6, 2024: Biomimetics
https://read.qxmd.com/read/38534839/use-of-biomaterials-in-3d-printing-as-a-solution-to-microbial-infections-in-arthroplasty-and-osseous-reconstruction
#23
REVIEW
Argyrios Periferakis, Aristodemos-Theodoros Periferakis, Lamprini Troumpata, Serban Dragosloveanu, Iosif-Aliodor Timofticiuc, Spyrangelos Georgatos-Garcia, Andreea-Elena Scheau, Konstantinos Periferakis, Ana Caruntu, Ioana Anca Badarau, Cristian Scheau, Constantin Caruntu
The incidence of microbial infections in orthopedic prosthetic surgeries is a perennial problem that increases morbidity and mortality, representing one of the major complications of such medical interventions. The emergence of novel technologies, especially 3D printing, represents a promising avenue of development for reducing the risk of such eventualities. There are already a host of biomaterials, suitable for 3D printing, that are being tested for antimicrobial properties when they are coated with bioactive compounds, such as antibiotics, or combined with hydrogels with antimicrobial and antioxidant properties, such as chitosan and metal nanoparticles, among others...
March 1, 2024: Biomimetics
https://read.qxmd.com/read/38534744/an-examination-of-the-effects-of-propolis-and-quercetin-in-a-rat-model-of-streptozotocin-induced-diabetic-peripheral-neuropathy
#24
JOURNAL ARTICLE
Sibel Türedi, Hakim Çelik, Şeyda Nur Dağlı, Seyhan Taşkın, Uğur Şeker, Mustafa Deniz
The purpose of this study was to reveal the combined effects of propolis (P) and quercetin (Q) against diabetic peripheral neuropathy developing with streptozotocin-induced diabetes in rats. Sixty-four adult male rats were divided into eight equal groups: control, P (100 mg/kg/day), Q (100 mg/kg/day), P + Q (100 mg/day for both), diabetes mellitus (DM) (single-dose 60 mg/kg streptozotocin), DM + P, DM + Q, and DM + P + Q. The rats were sacrificed, and blood and sciatic nerve tissues were collected. Blood glucose and malondialdehyde (MDA) levels increased, while IL-6 and total antioxidant status decreased in the DM group ( p = 0...
March 2, 2024: Current Issues in Molecular Biology
https://read.qxmd.com/read/38534614/hydrogels-for-cardio-and-vascular-tissue-repair-and-regeneration
#25
REVIEW
Ilenia Motta, Michelina Soccio, Giulia Guidotti, Nadia Lotti, Gianandrea Pasquinelli
Cardiovascular disease (CVD), the leading cause of death globally, affects the heart and arteries with a variety of clinical manifestations, the most dramatic of which are myocardial infarction (MI), abdominal aortic aneurysm (AAA), and intracranial aneurysm (IA) rupture. In MI, necrosis of the myocardium, scar formation, and loss of cardiomyocytes result from insufficient blood supply due to coronary artery occlusion. Beyond stenosis, the arteries that are structurally and functionally connected to the cardiac tissue can undergo pathological dilation, i...
March 13, 2024: Gels
https://read.qxmd.com/read/38534547/development-of-the-ai-pipeline-for-corneal-opacity-detection
#26
JOURNAL ARTICLE
Kenji Yoshitsugu, Eisuke Shimizu, Hiroki Nishimura, Rohan Khemlani, Shintaro Nakayama, Tadamasa Takemura
Ophthalmological services face global inadequacies, especially in low- and middle-income countries, which are marked by a shortage of practitioners and equipment. This study employed a portable slit lamp microscope with video capabilities and cloud storage for more equitable global diagnostic resource distribution. To enhance accessibility and quality of care, this study targets corneal opacity, which is a global cause of blindness. This study has two purposes. The first is to detect corneal opacity from videos in which the anterior segment of the eye is captured...
March 12, 2024: Bioengineering
https://read.qxmd.com/read/38534493/a-comprehensive-review-on-synergy-of-multi-modal-data-and-ai-technologies-in-medical-diagnosis
#27
REVIEW
Xi Xu, Jianqiang Li, Zhichao Zhu, Linna Zhao, Huina Wang, Changwei Song, Yining Chen, Qing Zhao, Jijiang Yang, Yan Pei
Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in rendering more evidence-based decisions, thus presenting a pioneering solution for clinical practice. Traditionally, the amalgamation of diverse medical data modalities (e.g., image, text, speech, genetic data, physiological signals) is imperative to facilitate a comprehensive disease analysis, a topic of burgeoning interest among both researchers and clinicians in recent times...
February 25, 2024: Bioengineering
https://read.qxmd.com/read/38534491/reimagining-radiology-a-comprehensive-overview-of-reviews-at-the-intersection-of-mobile-and-domiciliary-radiology-over-the-last-five-years
#28
REVIEW
Graziano Lepri, Francesco Oddi, Rosario Alfio Gulino, Daniele Giansanti
(Background) Domiciliary radiology, which originated in pioneering studies in 1958, has transformed healthcare, particularly during the COVID-19 pandemic, through advancements such as miniaturization and digitization. This evolution, driven by the synergy of advanced technologies and robust data networks, reshapes the intersection of domiciliary radiology and mobile technology in healthcare delivery. (Objective) The objective of this study is to overview the reviews in this field with reference to the last five years to face the state of development and integration of this practice in the health domain...
February 24, 2024: Bioengineering
https://read.qxmd.com/read/38534488/towards-automation-in-radiotherapy-planning-a-deep-learning-approach-for-the-delineation-of-parotid-glands-in-head-and-neck-cancer
#29
JOURNAL ARTICLE
Ioannis Kakkos, Theodoros P Vagenas, Anna Zygogianni, George K Matsopoulos
The delineation of parotid glands in head and neck (HN) carcinoma is critical to assess radiotherapy (RT) planning. Segmentation processes ensure precise target position and treatment precision, facilitate monitoring of anatomical changes, enable plan adaptation, and enhance overall patient safety. In this context, artificial intelligence (AI) and deep learning (DL) have proven exceedingly effective in precisely outlining tumor tissues and, by extension, the organs at risk. This paper introduces a DL framework using the AttentionUNet neural network for automatic parotid gland segmentation in HN cancer...
February 24, 2024: Bioengineering
https://read.qxmd.com/read/38534480/artificial-intelligence-models-for-the-automation-of-standard-diagnostics-in-sleep-medicine-a-systematic-review
#30
REVIEW
Maha Alattar, Alok Govind, Shraddha Mainali
Sleep disorders, prevalent in the general population, present significant health challenges. The current diagnostic approach, based on a manual analysis of overnight polysomnograms (PSGs), is costly and time-consuming. Artificial intelligence has emerged as a promising tool in this context, offering a more accessible and personalized approach to diagnosis, particularly beneficial for under-served populations. This is a systematic review of AI-based models for sleep disorder diagnostics that were trained, validated, and tested on diverse clinical datasets...
February 22, 2024: Bioengineering
https://read.qxmd.com/read/38534456/how-mitochondrial-signaling-games-may-shape-and-stabilize-the-nuclear-mitochondrial-symbiosis
#31
JOURNAL ARTICLE
Will Casey, Thiviya Kumaran, Steven E Massey, Bud Mishra
The eukaryotic lineage has enjoyed a long-term "stable" mutualism between nucleus and mitochondrion, since mitochondrial endosymbiosis began about 2 billion years ago. This mostly cooperative interaction has provided the basis for eukaryotic expansion and diversification, which has profoundly altered the forms of life on Earth. While we ignore the exact biochemical details of how the alpha-proteobacterial ancestor of mitochondria entered into endosymbiosis with a proto-eukaryote, in more general terms, we present a signaling games perspective of how the cooperative relationship became established, and has been maintained...
March 15, 2024: Biology
https://read.qxmd.com/read/38534222/real-time-on-site-monitoring-of-viruses-in-wastewater-using-nanotrap-%C3%A2-particles-and-ricca-technologies
#32
JOURNAL ARTICLE
Vishnu Sharma, Hitomi Takamura, Manish Biyani, Ryo Honda
Wastewater-based epidemiology (WBE) is an effective and efficient tool for the early detection of infectious disease outbreaks in a community. However, currently available methods are laborious, costly, and time-consuming due to the low concentration of viruses and the presence of matrix chemicals in wastewater that may interfere with molecular analyses. In the present study, we designed a highly sensitive "Quick Poop (wastewater with fecal waste) Sensor" (termed, QPsor) using a joint approach of Nanotrap microbiome particles and RICCA (RNA Isothermal Co-Assisted and Coupled Amplification)...
February 21, 2024: Biosensors
https://read.qxmd.com/read/38533950/evaluations-of-artificial-intelligence-and-machine-learning-in-neurodiagnostics
#33
JOURNAL ARTICLE
Kristin Williams
This paper evaluates the ethical implications of utilizing artificial intelligence (AI) algorithms in neurological diagnostic examinations. Applications of AI technology have been utilized to aid in the determination of pharmacological dosages of gadolinium for brain lesion detection, localization of seizure foci, and the characterization of large vessel occlusion in ischemic stroke patients. Multiple subtypes of AI- machine learning (AI/ML) algorithms are analyzed as AI-assisted neurology utilizes supervised, unsupervised, artificial neural network (ANN), and deep neural network (DNN) learning models...
March 27, 2024: Journal of Neurophysiology
https://read.qxmd.com/read/38533919/accurate-robust-and-scalable-machine-abstraction-of-mayo-endoscopic-subscores-from-colonoscopy-reports
#34
JOURNAL ARTICLE
Anna L Silverman, Balu Bhasuran, Arman Mosenia, Fatema Yasini, Gokul Ramasamy, Imon Banerjee, Saransh Gupta, Taline Mardirossian, Rohan Narain, Justin Sewell, Atul J Butte, Vivek A Rudrapatna
BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activity in ulcerative colitis. Colonoscopy reports in routine clinical care usually characterize ulcerative colitis disease activity using free text description, limiting their utility for clinical research and quality improvement. We sought to develop algorithms to classify colonoscopy reports according to their MES. METHODS: We annotated 500 colonoscopy reports from 2 health systems...
March 26, 2024: Inflammatory Bowel Diseases
https://read.qxmd.com/read/38533757/strengths-weaknesses-opportunities-and-threats-of-using-ai-enabled-technology-in-sleep-medicine-a-commentary
#35
JOURNAL ARTICLE
Anuja Bandyopadhyay, Margarita Oks, Haoqi Sun, Bharati Prasad, Sam Rusk, Felicia Jefferson, Roneil Gopal Malkani, Shahab Haghayegh, Ramesh Sachdeva, Dennis Hwang, Jon Agustsson, Emmanuel Mignot, Michael Summers, Daniel Fabbri, Maryann Deak, Matthew Anastasi, Andrew Sampson, Steve Van Hout, Azizi Seixas
Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple domains. Sleep medicine is perfectly positioned to leverage this tool due to the wealth of physiological signals obtained through sleep studies or sleep tracking devices and abundance of accessible clinical data through electronic medical records. However, caution must be applied when utilizing AI, due to intrinsic challenges associated with novel technology. The Artificial Intelligence in Sleep Medicine committee of the American Academy of Sleep Medicine (AASM) reviews advancements in AI within the sleep medicine field...
March 27, 2024: Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine
https://read.qxmd.com/read/38533653/tabernacl-temporary-hemodynamic-stabilization-in-vivo
#36
JOURNAL ARTICLE
Rim N Halaby, Christopher G Bruce, D Korel Yildirim, Dogangun Uzun, Toby Rogers, Jaffar M Khan, Andi E Jaimes, Laurie P Grant, Vasilis C Babaliaros, Adam B Greenbaum, Robert J Lederman
BACKGROUND: Acute aortic regurgitation is life-threatening with few nonsurgical options for immediate stabilization. We propose Trans-Aortic Balloon to Ease Regurgitation Applying Counter-Pulsation (TABERNACL), a simple, on-table temporary valve using commercially available equipment to temporize acute severe aortic regurgitation. METHODS: We hypothesize that an appropriately sized commercial balloon dilatation catheter-straddling the aortic annulus and connected to a counterpulsation console-can serve as a temporizing valve to restore hemodynamic stability in acute aortic regurgitation...
March 27, 2024: Circulation. Cardiovascular Interventions
https://read.qxmd.com/read/38533615/comparing-the-perspectives-of-generative-ai-mental-health-experts-and-the-general-public-on-schizophrenia-recovery-case-vignette-study
#37
JOURNAL ARTICLE
Zohar Elyoseph, Inbar Levkovich
BACKGROUND: The current paradigm in mental health care focuses on clinical recovery and symptom remission. This model's efficacy is influenced by therapist trust in patient recovery potential and the depth of the therapeutic relationship. Schizophrenia is a chronic illness with severe symptoms where the possibility of recovery is a matter of debate. As artificial intelligence (AI) becomes integrated into the health care field, it is important to examine its ability to assess recovery potential in major psychiatric disorders such as schizophrenia...
March 18, 2024: JMIR Mental Health
https://read.qxmd.com/read/38533526/editorial-artificial-intelligence-solutions-for-decision-making-in-robotics
#38
EDITORIAL
Qasem Abu Al-Haija
No abstract text is available yet for this article.
2024: Frontiers in Robotics and AI
https://read.qxmd.com/read/38533525/towards-an-ai-driven-soft-toy-for-automatically-detecting-and-classifying-infant-toy-interactions-using-optical-force-sensors
#39
JOURNAL ARTICLE
Rithwik Udayagiri, Jessica Yin, Xinyao Cai, William Townsend, Varun Trivedi, Rohan Shende, O Francis Sowande, Laura A Prosser, James H Pikul, Michelle J Johnson
Introduction: It is crucial to identify neurodevelopmental disorders in infants early on for timely intervention to improve their long-term outcomes. Combining natural play with quantitative measurements of developmental milestones can be an effective way to swiftly and efficiently detect infants who are at risk of neurodevelopmental delays. Clinical studies have established differences in toy interaction behaviors between full-term infants and pre-term infants who are at risk for cerebral palsy and other developmental disorders...
2024: Frontiers in Robotics and AI
https://read.qxmd.com/read/38533524/a-survey-on-autonomous-environmental-monitoring-approaches-towards-unifying-active-sensing-and-reinforcement-learning
#40
REVIEW
David Mansfield, Allahyar Montazeri
The environmental pollution caused by various sources has escalated the climate crisis making the need to establish reliable, intelligent, and persistent environmental monitoring solutions more crucial than ever. Mobile sensing systems are a popular platform due to their cost-effectiveness and adaptability. However, in practice, operation environments demand highly intelligent and robust systems that can cope with an environment's changing dynamics. To achieve this reinforcement learning has become a popular tool as it facilitates the training of intelligent and robust sensing agents that can handle unknown and extreme conditions...
2024: Frontiers in Robotics and AI
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