Medicine and Health Sciences Commons^™

Medmicromaps, A Novel Decision-Tree Guide For Infectious Diseases Differential Diagnoses, And Evaluation Of Pre- And Post-Pandemic User Engagement By Preclinical Medical Students, Jason Ceballos, Tavsimran Luthra, Lucia Garces-Torres, Valerie Lentz, Jack Nelson, Claudia Carceles-Roman, Ian Holyoak, Jane Harrington

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Background: Medical education has undergone major changes in the past 5 years to adapt to the digital-centered student population with diverse learning preferences. To address the challenges of shifting delivery modalities, multimedia resources were created to provide interactive e-learning material on infectious diseases for year 2 medical students.

Methods: Medical students at a USA-accredited Caribbean medical school were provided with supplemental e-learning materials including animations, illustrations, diagnostic algorithms aka MedMicroMaps, and Case-Based tutorials. Participants were classified by semester and lecture delivery: In-person: Cohort 1 (n=526); Virtual: Cohort 2 (n=651); and Hybrid: Cohort 3 ( …

Role Of Artificial Intelligence In Endoscopic Intervention: A Clinical Review, Nismat Javed, Haider Ghazanfar, Bhavna Balar, Harish Patel

Journal of Community Hospital Internal Medicine Perspectives

Gastrointestinal diseases are increasing in global prevalence. As a result, the contribution to both mortality and healthcare costs is increasing. While interventions utilizing scoping techniques or ultrasound are crucial to both the timely diagnosis and management of illness, a few limitations are associated with these techniques. Artificial intelligence, using computerized diagnoses, deep learning systems, or neural networks, is increasingly being employed in multiple aspects of medicine to improve the characteristics and outcomes of these tools. Therefore, this review aims to discuss applications of artificial intelligence in endoscopy, colonoscopy, and endoscopic ultrasound.

Two-Year Opioid Prescription Trends In Local Sanitary Agency Naples 3 South, Campania Region, Italy. Descriptive Analyses And Ai-Based Translational Perspectives, Marco Cascella, Maurizio Capuozzo, Francesco Ferrara, Alessandro Ottaiano, Francesco Perri, Francesco Sabbatino, Valeria Conti, Vittorio Santoriello, Alfonso Maria Ponsiglione, Maria Romano, Francesco Amato, Ornella Piazza

Translational Medicine @ UniSa

Aims: This study delves into the two-year opioid prescription trends in the Local Sanitary Agency Naples 3 South, Campania Region, Italy. The research aims to elucidate prescribing patterns, demographics, and dosage categories within a population representing 1.7% of the national total. Perspectives on artificial intelligence research are discussed.

Methods: From the original dataset, spanning from January 2022 to October 2023, we processed multiple variables including demographic data, medications, dosages, drug consumption, and administration routes.

Results: The analysis reveals a conservative approach to opioid therapy. In subjects under the age of 20, prescriptions accounted for 2.1% in 2022 and declined to …

Scope And Limitations Of Chatgpt In Research And Academic Writing, Shyam Pyare Singh, Imran Ahmed Khan, Shaila Kumari Mitra

Digital Journal of Clinical Medicine

Background: ChatGPT has proven to be an invaluable tool, enabling human-like interactions, and facilitating knowledge exchange. It possesses the ability to generate coherent and contextually relevant responses based on the input it receives. In essence, ChatGPT responds to anything in a conversational manner and provides an output that looks like human writing. However, with the rapid advancement of medical research, there is an increasing concern that ChatGPT may be abused to create articles devoid of clinical reasoning and critical thinking.

METHODS: A through literature search was conducted on PubMed and Google scholar to find relevant article according to objective.

RESULTS: …

Introduction To The Special Issue On Artificial Intelligence In Counselor Education And Supervision, Russell Fulmer, Wendell Callahan, Olivia Uwamahoro Williams

Journal of Technology in Counselor Education and Supervision

No abstract provided.

Geospatial Artificial Intelligence (Geoai): Applications In Health Care, K S Sahana, C B Karthik, Mounika M Sree, M Chaithra, Stavelin K Abhinandithe, B Snehalatha, R Sridhar, S Balasubramanian, B Madhu

International Journal of Health and Allied Sciences

GeoAI is a new emerging research area that refers to set of technologies that integrate AI technology with a diversity of GIS (Geographic Information System) techniques. The present study observed that GeoAI goes beyond current GIS expectations and into the domain of possibility in the not-too-distant future. This emerging interdisciplinary science will lead us to sustainable decisions and explore the most suitable solutions to the existing problems. GeoAI has the potential to transform current geography and geomatics programs by incorporating a GeoAI dimension into modern GIS curricula. In this review, we have studied the application GeoAI in various healthcare fields. …

Full Issue: The International Undergraduate Journal Of Health Sciences, Volume 3, Issue 1, September 2023, Sword Mtu

International Undergraduate Journal of Health Sciences

Full Issue: The International Undergraduate Journal of Health Sciences, Volume 3, Issue 1, September 2023

The Human Role In Artificial Intelligence, Christopher J. Smiley Dds

The Journal of the Michigan Dental Association

The success of AI requires human involvement to ensure that it is used safely and effectively. Transparency, collaboration, and standardization are necessary.

The Use Of Artificial Intelligence (Ai)-Assisted Technologies In Scientific Discourse, Arvie Vitente, Rolando Lazaro, Catherine Joy Escuadra, Jocel Regino, Esmerita Rotor

Philippine Journal of Physical Therapy

No abstract provided.

Artificial Intelligence In Public Health Dentistry, Bhinika S. Wadher, Priyanka Paul Madhu Mds, Abhinn R. Miglani, Janhavi S. Buldeo

International Arab Journal of Dentistry

The creation of the relevant technology must be driven by educational demands. Even so, the human factor must always be taken into consideration. Exciting new technology and potent cures will continue to be produced by scientific research. The capacity of a digital computer, computer-controlled robot to carry out actions closely identified with intelligent beings is known as artificial intelligence (AI). The evolution of AI has been clearly accelerating over the past ten years, and dentistry has not been an exception. Dental AI is important for diagnosing patients, storing patient data, and evaluating genetic information to improve patient treatment. This applies …

The Impact Of Artificial Intelligence On Dental Care Delivery: A Comprehensive Review, Robert A. Faiella D.M.D., M.M.Sc., M.B.A., Shaju Puthussery M.S.

The Journal of the Michigan Dental Association

This comprehensive review explores the transformative role of Artificial Intelligence (AI) in the evolution of dental care delivery. As oral health specialists, dentists continually seek to enhance their ability to prevent, diagnose, and manage oral diseases while maintaining and improving patient oral health. The integration of AI offers unprecedented opportunities to revolutionize dental practice and patient care.

AI is rapidly advancing in healthcare, including dental care, with a projected global healthcare AI market value of $45.2 billion by 2026. This technology can potentially revolutionize prevention, diagnosis, treatment planning, and treatment outcomes.

Aspects of AI in dentistry include:

· Diagnostic Accuracy …

Powered By Ai, Christopher J. Smiley

The Journal of the Michigan Dental Association

Artificial Intelligence (AI) is revolutionizing dental practice through its ability to process vast amounts of data, enhance diagnosis, and improve patient care. However, AI introduces the challenge of bias and ethical considerations. Dentists and dental benefit providers are utilizing AI for early disease detection and efficient data management, but transparency and fairness in AI algorithms are vital. The Rome Call for AI Ethics emphasizes ethical, non-biased AI development. In the broader context, AI-driven marketing and predictive behavior raise concerns about privacy and ethical data use. The dental community must embrace AI's power while upholding ethical standards and transparency.

J Mich Dent Assoc April 2021

The Journal of the Michigan Dental Association

In the April 2021 issue of the Journal of the Michigan Dental Association, we offer a comprehensive range of original feature content showcasing the latest developments in dental practice and knowledge, including:

1. AI in Dental Care Delivery: Explore the groundbreaking role of Artificial Intelligence (AI) and Machine Learning in dental care, revolutionizing efficiency, safety, care outcomes, and treatment planning consistency.
2. AI in Dental Claims Processing: Discover how AI is employed by third-party payers to streamline dental claims processing, resulting in cost containment and the proactive identification of potential fraud, waste, and abuse.
3. Evidence-Based Dentistry: As part of …

Ai And Art: An Increasingly Inextricable Affair, Rebecca Hedlund

Osmosis Magazine

Siri, Waze, Google Translate, Instagram -- we experience Artificial Narrow Intelligence (ANI) every day of our lives when we use apps that are trained for a specific task, such as when Spotify recommends new songs based on the music you already like. These apps compute the data users give (whether knowingly or not) and adjust their own algorithms to provide the best possible experience. This is an application of Artificial Intelligence called machine learning. While some see it as a subset of AI, many argue that the ability to learn and improve through experience is critical to the very definition …

Artificial Intelligence And The Challenge For Rural Medicine, James Denvir

Marshall Journal of Medicine

Recent advances in artificial intelligence, machine learning, and deep learning are beginning to have an impact on everyday experiences, from natural language processing used in automated telephone call centers to semi-autonomous vehicles. These techniques have also been applied to medical care. In this editorial we discuss applications of AI to medicine and argue for a proactive approach to include rural medicine in this paradigm shift.