A5043660785- Clinical Reasoning and Diagnostic Skills
- Coronary Interventions and Diagnostics
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Innovations in Medical Education
- Glaucoma and retinal disorders
- Cardiac Imaging and Diagnostics
- Phonocardiography and Auscultation Techniques
- Streptococcal Infections and Treatments
- Hematological disorders and diagnostics
- Cardiac Valve Diseases and Treatments
- Gastrointestinal disorders and treatments
- Sepsis Diagnosis and Treatment
- Electronic Health Records Systems
- Antiplatelet Therapy and Cardiovascular Diseases
- Bacterial Identification and Susceptibility Testing
- Infective Endocarditis Diagnosis and Management
- Healthcare cost, quality, practices
- Acute Myocardial Infarction Research
- Corneal surgery and disorders
- Immunodeficiency and Autoimmune Disorders
- Nail Diseases and Treatments
- Gallbladder and Bile Duct Disorders
- Amoebic Infections and Treatments
Dokkyo Medical University
2017-2025
Nagano Municipal Hospital
2015-2024
Baylor College of Medicine
2023-2024
Shimane University
2024
Oregon Health & Science University
2024
University College London
2024
Kagoshima City Hospital
2024
Juntendo University
2024
The University of Tokyo
2024
Fukushima Medical University
2024
The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI) chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is unknown. This study evaluated differential-diagnosis lists ChatGPT-3 for clinical vignettes with common chief complaints. General internal medicine physicians created cases, correct diagnoses, and five ten rate diagnosis within was 28/30 (93.3%). still superior to that (98.3% vs. 83.3%,
The diagnostic accuracy of differential diagnoses generated by artificial intelligence chatbots, including ChatGPT models, for complex clinical vignettes derived from general internal medicine (GIM) department case reports is unknown.This study aims to evaluate the diagnosis lists both third-generation (ChatGPT-3.5) and fourth-generation (ChatGPT-4) using published Department GIM Dokkyo Medical University Hospital, Japan.We searched PubMed reports. Upon identification, physicians selected...
Background In the evolving field of health care, multimodal generative artificial intelligence (AI) systems, such as ChatGPT-4 with vision (ChatGPT-4V), represent a significant advancement, they integrate visual data text data. This integration has potential to revolutionize clinical diagnostics by offering more comprehensive analysis capabilities. However, impact on diagnostic accuracy using image augment remains unclear. Objective study aims assess adding ChatGPT-4’s and provide insights...
Abstract Objectives The potential of artificial intelligence (AI) chatbots, particularly the fourth-generation chat generative pretrained transformer (ChatGPT-4), in assisting with medical diagnosis is an emerging research area. While there has been significant emphasis on creating lists differential diagnoses, it not yet clear how well AI chatbots can evaluate whether final included these lists. This short communication aimed to assess accuracy ChatGPT-4 evaluating compared professionals’...
Background Artificial intelligence (AI) symptom checker models should be trained using real-world patient data to improve their diagnostic accuracy. Given that AI-based checkers are currently used in clinical practice, performance over time. However, longitudinal evaluations of the accuracy these limited. Objective This study aimed assess changes differential diagnosis lists created by an real world. Methods was a single-center, retrospective, observational study. Patients who visited...
A Japanese woman in her 30s presented to the emergency department at midnight with right upper quadrant pain that had lasted for a week. Without definitive diagnosis, she was prescribed acetaminophen and levofloxacin discharged. When persisted next morning, visited primary care physician reported fever pain. She referred back suspected cholecystitis. The patient's vital signs were stable, including temperature of 36.6°C. Physical examination revealed abdominal tenderness positive Murphy's...
This study aimed to assess the prevalence of atypical presentations and their association with diagnostic errors in various diseases.
Background Diagnostic performance of generative artificial intelligences (AIs) using large language models (LLMs) across comprehensive medical specialties is still unknown. Objective We aimed to evaluate the diagnostic AIs LLMs in complex case series fields. Methods analyzed published reports from American Journal Case Reports January 2022 March 2023. excluded pediatric cases and those primarily focused on management. utilized three generate top 10 differential-diagnosis (DDx) lists...
Purpose The aim of this study was to examine whether or not central corneal thickness (CCT) and curvature radius (CCR) influence the concordance intraocular pressure (IOP) readings taken with a noncontact tonometer (NCT) Goldmann applanation (GAT). Methods Eighty-seven eyes from 87 patients without any histories operation were enrolled in present study. We calculated difference IOP between 2 methods (NCT-GAT), then examined relationship readings, CCT CCR using linear regression line. Results...
Background: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking systems with AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy was shown. However, considering the negative effects such as omission (physicians reject a correct diagnosis suggested by AI) and commission accept an incorrect errors, without should be evaluated. Objective: present study conducted to evaluate or accuracy. Methods: This randomized controlled in January 2021...
The urgent need for telemedicine has become clear in the COVID-19 pandemic. To facilitate telemedicine, development and improvement of remote examination systems are required. A system combining an electronic stethoscope Bluetooth connectivity is a promising option auscultation clinics hospitals. However, utility such remains unknown.This study was conducted to assess real-time using Bluetooth-connected compared that classical auscultation, lung cardiology patient simulators.This open-label,...
Automated medical history-taking systems that generate differential diagnosis lists have been suggested to contribute improved diagnostic accuracy. However, the effect of these on errors in clinical practice remains unknown.This study aimed assess incidence an outpatient department, where artificial intelligence (AI)-driven automated system generates was implemented practice.We conducted a retrospective observational using data from community hospital Japan. We included patients aged 20...
Background The potential of artificial intelligence (AI) chatbots, particularly ChatGPT with GPT-4 (OpenAI), in assisting medical diagnosis is an emerging research area. However, it not yet clear how well AI chatbots can evaluate whether the final included differential lists. Objective This study aims to assess capability identifying from differential-diagnosis lists and compare its performance that physicians for case report series. Methods We used a database reports American Journal Case...
Background Manual chart review using validated assessment tools is a standardised methodology for detecting diagnostic errors. However, this requires considerable human resources and time. ChatGPT, recently developed artificial intelligence chatbot based on large language model, can effectively classify text suitable prompts. Therefore, ChatGPT assist manual reviews in Objective This study aimed to clarify whether could correctly detect errors possible factors contributing them case...
A diagnostic decision support system (DDSS) is expected to reduce errors. However, its effect on physicians’ decisions remains unclear. Our study aimed assess the prevalence of diagnoses from artificial intelligence (AI) in differential when using AI-driven DDSS that generates a diagnosis information entered by patient before clinical encounter diagnoses. In this randomized controlled study, an exploratory analysis was performed. Twenty-two physicians were required generate up three per case...
There has been growing recognition that contextual factors influence the physician's cognitive processes. However, given processes may depend on physicians' specialties, effects of diagnostic errors reported in previous studies could be confounded by difference physicians.
Summary The DAPT score is a recently-proposed decision tool for guiding optimal duration of dual antiplatelet therapy (DAPT). It showed modest accuracy in prior derivation and validation cohorts patients with ≥12 months DAPT. This study was aimed to evaluate the validity cohort 6 or 12 after implantation predominantly second-generation drug-eluting stents. We analyzed data enrolled ISAR-SAFE trial. Patients were classified into low (<2) high (≥2) groups. Primary ischaemic (all-cause...
Patient waiting time at outpatient departments is directly related to patient satisfaction and quality of care, particularly in patients visiting the general internal medicine for first time. Moreover, reducing wait from arrival clinic initiation an examination key patients' anxiety. The use automated medical history-taking systems a promising strategy reduce times. Recently, Ubie Inc Japan developed AI Monshin, artificial intelligence-based, system departments.We hypothesized that replacing...