AI in Modern Medicine: Diagnostics and Healthcare Outcomes

Excited to invite you to DigiPath Digest Series #5 taking place:

📆 July 26, 2024
🕰️6 a.m. EST.

Join us for this informative webinar on the role of AI in modern medicine.

Streaming live on LinkedIn, Facebook, Twitter, and YouTube.

We'll explore how AI is enhancing diagnostics and improving healthcare outcomes.

We'll cover:

🔸Childhood Asthma: The impact of AI on understanding sociodemographic, clinical, and laboratory variables.
🔸Thyroid Nodules: How AI-assisted self-learning improves diagnostic performance.
🔸Tooth Segmentation: Using convolutional neural networks for automated segmentation in intraoral scans.
🔸Breast Cancer: AI-augmented platforms for identifying high-risk recurrence in early-stage breast cancer.
🔸Healthcare Economics: The budget impact of AI-driven diagnostics on healthcare systems.

Don’t miss this opportunity to stay updated on AI innovations in healthcare.

Register now to be part of this important discussion!

[aleksandrazurawpathology]

Here are the abstracts we reviewed today:

Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance


U.S. payer budget impact of using an AI-augmented cancer risk discrimination digital histopathology platform to identify high-risk of recurrence in women with early-stage invasive breast cancer


Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model


ChatGPT for digital pathology research


Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis

[VetCandy]

AI has such potential! Thanks for sharing your thoughts.