Objectives: In the era of artificial intelligence, almost half of the patients use the internet to get information about their diseases. Our study aims to demonstrate the reliability of the information provided by artificial intelligence chatbots (AICs) about urogenital cancer treatments.
Methods: The most frequently searched keyword about prostate, bladder, kidney, and testicular cancer treatment via Google Trends was asked to 3 different AICs (ChatGPT, Gemini, Copilot). The answers were evaluated by 5 different examiners in terms of readability, understandability, actionability, reliability, and transparency.
Results: The DISCERN score evaluation indicates that ChatGPT and Gemini provided moderate quality information, while Copilot's quality was low. (Total DISCERN scores; 41, 42, 35, respectively). PEMAT-P Understandability scores were low (40%) and PEMAT-P Actionability scores were moderate only for Gemini (60%) and low for the others (40%). Their readability according to the Coleman-Liau index was above the college level (16.9, 17.2, 16, respectively).
Conclusions: In the era of artificial intelligence, patients will inevitably use AICs due to their easy and fast accessibility. However, patients need to recognize that AICs do not provide stage-specific treatment options, but only moderate-quality, low-reliability information about the disease, as well as information that is very difficult to read.
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http://dx.doi.org/10.1016/j.clgc.2024.102206 | DOI Listing |
J Chem Inf Model
January 2025
Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, China.
Tryptophan participates in important life activities and is involved in various metabolic processes. The indole and aromatic binuclear ring structure in tryptophan can engage in diverse interactions, including π-π, π-alkyl, hydrogen bonding, cation-π, and CH-π interactions with other side chains and protein targets. These interactions offer extensive opportunities for drug development.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
View Article and Find Full Text PDFAnn Transl Med
December 2024
Division of Cardiothoracic Surgery, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Background And Objective: Patients with thoracic aortic aneurysm and dissection (TAAD) are often asymptomatic but present acutely with life threatening complications that necessitate emergency intervention. Aortic diameter measurement using computed tomography (CT) is considered the gold standard for diagnosis, surgical planning, and monitoring. However, manual measurement can create challenges in clinical workflows due to its time-consuming, labour-intensive nature and susceptibility to human error.
View Article and Find Full Text PDFAnn Transl Med
December 2024
Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
View Article and Find Full Text PDFWorld J Diabetes
January 2025
National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20810, United States.
Diabetes mellitus (DM) is a debilitating disorder that impacts all systems of the body and has been increasing in prevalence throughout the globe. DM represents a significant clinical challenge to care for individuals and prevent the onset of chronic disability and ultimately death. Underlying cellular mechanisms for the onset and development of DM are multi-factorial in origin and involve pathways associated with the production of reactive oxygen species and the generation of oxidative stress as well as the dysfunction of mitochondrial cellular organelles, programmed cell death, and circadian rhythm impairments.
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