The standardisation of uveitis nomenclature (SUN) project

Challenges for further successful development of tumor necrosis factor targeting therapies for uveitis

INTRODUCTION

Uveitis is a heterogeneous group of ocular conditions characterized by inflammation of the uveal tract and is one of the leading causes of vision impairment. In developed countries, noninfectious uveitis (NIU) represents most cases and is challenging to treat due to its severity, chronicity, and high recurrence rates. The advent of anti-tumor necrosis factor-α (anti-TNF-α) agents have dramatically improved outcomes and changed treatment paradigms in NIU.

AREAS COVERED

The index article summarizes the present experience of anti-TNF-α agents in NIU pharmacotherapy and highlights the barriers to further research and development of anti-TNF-α agents for uveitis. Common challenges faced in NIU clinical drugs trials, specific difficulties in anti-TNF-α drug development, and promising competitor drug candidates are discussed and evaluated.

EXPERT OPINION

Anti-TNF-α agents have revolutionized NIU pharmacotherapy and greatly improved outcomes with good safety profiles. The great success of systemic infliximab and adalimumab in NIU treatment has resulted in little impetus for further development of this class of medication. Attempts have been made to deliver anti-TNF-α agents intravitreally but that has not been successful thus far. With expiring patents, competition from biosimilars and newer, novel molecules, it may not be viable to continue pursuing anti-TNF-α drug development.

Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology

PURPOSE

To assess the diagnostic performance of two chatbots, ChatGPT and Glass, in uveitis diagnosis compared to renowned uveitis specialists, and evaluate clinicians' perception about utilizing artificial intelligence (AI) in ophthalmology practice.

METHODS

Six cases were presented to uveitis experts, ChatGPT (version 3.5 and 4.0) and Glass 1.0, and diagnostic accuracy was analyzed. Additionally, a survey about the emotions, confidence in utilizing AI-based tools, and the likelihood of incorporating such tools in clinical practice was done.

RESULTS

Uveitis experts accurately diagnosed all cases (100%), while ChatGPT achieved a diagnostic success rate of 66% and Glass 1.0 achieved 33%. Most attendees felt excited or optimistic about utilizing AI in ophthalmology practice. Older age and high level of education were positively correlated with increased inclination to adopt AI-based tools.

CONCLUSIONS

ChatGPT demonstrated promising diagnostic capabilities in uveitis cases and ophthalmologist showed enthusiasm for the integration of AI into clinical practice.

Evaluating the Diagnostic Accuracy and Management Recommendations of ChatGPT in Uveitis

INTRODUCTION

Accurate diagnosis and timely management are vital for favorable uveitis outcomes. Artificial Intelligence (AI) holds promise in medical decision-making, particularly in ophthalmology. Yet, the diagnostic precision and management advice from AI-based uveitis chatbots lack assessment.

METHODS

We appraised diagnostic accuracy and management suggestions of an AI-based chatbot, ChatGPT, versus five uveitis-trained ophthalmologists, using 25 standard cases aligned with new Uveitis Nomenclature guidelines. Participants predicted likely diagnoses, two differentials, and next management steps. Comparative success rates were computed.

RESULTS

Ophthalmologists excelled (60-92%) in likely diagnosis, exceeding AI (60%). Considering fully and partially accurate diagnoses, ophthalmologists achieved 76-100% success; AI attained 72%. Despite an 8% AI improvement, its overall performance lagged. Ophthalmologists and AI agreed on diagnosis in 48% cases, with 91.6% exhibiting concurrence in management plans.

CONCLUSIONS

The study underscores AI chatbots' potential in uveitis diagnosis and management, indicating their value in reducing diagnostic errors. Further research is essential to enhance AI chatbot precision in diagnosis and recommendations.