Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Management of Norovirus Infection in Solid Organ Transplant Recipients: A Scoping Review.

Transplantation direct·2026

Same author

Using the theory of change (ToC) to co-design a primary mental healthcare system for older people with common mental disorders in Hong Kong.

Global mental health (Cambridge, England)·2026

Same author

Profiles and outcomes of indigenous patients with chronic kidney disease in renal speciality clinics in the public health system in Queensland, Australia.

BMC nephrology·2026

Same author

Trans oral endoscopic surgery (TOES) of para-pharyngeal space tumours: single surgeon experience.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2025

Same author

Effectiveness and Safety of Antibiotics in Kidney Transplant Recipients With Asymptomatic Bacteriuria: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Open forum infectious diseases·2025

Same author

UK Real-World Evidence of Using Durvalumab Plus Cisplatin and Gemcitabine in Advanced Biliary Tract Cancer via an Early Access Scheme.

Cancers·2025

Search research articles

Related Experiment Video

Updated: May 21, 2025

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

Can Artificial Intelligence Software be Utilised for Thyroid Multi-Disciplinary Team Outcomes?

Amir Habeeb¹, Kim Hui Lim², Xenofon Kochilas²

¹Academic Clinical Fellow Association, Queen Mary University of London, London, UK.

Clinical Otolaryngology : Official Journal of ENT-UK ; Official Journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery

|March 20, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) software shows potential in assisting thyroid multidisciplinary team (MDT) decision-making for thyroid cancer management. However, AI-generated outcomes require clinician verification to ensure accuracy and patient safety.

Keywords:

artificial intelligence head and neck malignancy multidisciplinary team otorhinolaryngology outcomes thyroid

More Related Videos

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

Related Experiment Videos

Last Updated: May 21, 2025

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Oncology

Background:

Ear, nose, and throat (ENT) services face increasing demand due to rising thyroid malignancy rates.
Multidisciplinary team (MDT) meetings are crucial for optimal thyroid cancer management.
Artificial intelligence (AI) offers potential solutions for healthcare challenges.

Purpose of the Study:

To evaluate the accuracy of AI software (ChatGPT-4TM) in generating thyroid MDT outcomes.
To assess the concordance of AI-generated outcomes with established clinical guidelines (British Thyroid Association).
To explore the role of AI in optimizing thyroid cancer care pathways.

Main Methods:

Retrospective analysis of 30 thyroid MDT cases (October 2023 - May 2024).
Utilized ChatGPT-4TM to generate outcomes based on British Thyroid Association (BTA) Guidelines.
Quantified concordance levels between AI-generated outcomes and the established MDT outcomes.

Main Results:

The established MDT achieved 100% concordance with BTA Guidelines.
ChatGPT-4TM demonstrated a 67% concordance with the MDT's outcomes in the highest agreement category.
A complete discordance rate of 13% was observed between ChatGPT-4TM and the MDT outcomes.

Conclusions:

AI software presents a cost-effective tool for potentially streamlining complex thyroid MDT decision-making.
AI can assist in managing clinical workload, freeing up specialists for other demands.
Clinical oversight remains essential; AI-generated outcomes require mandatory verification by healthcare professionals.