Dr. Om J Lakhani Unveils AI Magic in Healthcare: June 2024 Edition!

Dr. Om J Lakhani talks about The Real life examples for use of Artificial intelligence in Clinical medicine as per June 2024.
We have also displayed some new developments that we are doing that include Retinopathy AI and Virtual Dietician 2.0
00:12 🎤 Introduction to AI in Clinical Medicine
Discusses practical applications of AI in clinical practice as of June 2024,
Highlights six key areas where AI can enhance clinical practice,
Emphasizes the accessibility and immediate relevance of AI tools.
03:02 🏥 Using AI for Diagnosis: Case Study
Demonstrates AI's capability in diagnosing complex cases using patient scenarios,
Shows AI's ability to interpret clinical data and provide accurate diagnostic insights,
Emphasizes the importance of clinical validation alongside AI-generated diagnoses.
08:51 👁️ AI in Clinical Imaging: Diabetic Retinopathy
Explores AI's role in interpreting medical images, specifically in diabetic retinopathy,
Compares custom-developed AI tools with commercial solutions like GPT-40,
Highlights AI's accuracy and potential in specialized medical imaging tasks.
14:19 📊 AI in Report Interpretation: Fibroscan Example
Illustrates AI's utility in interpreting complex medical reports such as fibroscan results,
Discusses the ease of using AI for quick and accurate analysis of diagnostic tests,
Shows practical applications for metabolic physicians in everyday clinical settings.
18:31 🧪 Clinical decision support using custom GPT models
Using custom GPT models to address clinical conundrums like vaccine administration, aspirin use, and statin therapy.
Provides guideline-based answers quickly and efficiently for common clinical questions.
19:00 📊 Efficient extraction of key medical data from patient reports
Simplifying the process of extracting relevant medical data from lengthy patient reports.
Focuses on extracting essential parameters like blood sugar, lipid profile, and thyroid function accurately and efficiently from PDF reports.
21:08 🤖 Development of virtual agents in medical practice
Introduction of virtual agents like a virtual dietician to streamline dietary advice and management.
Customizing dietary recommendations based on patient preferences, allergies, and medical history to enhance patient engagement and compliance.
25:35 🍏 Apple shortcuts for summarizing clinical studies
Utilizing Apple shortcuts with GPT Plus subscription to summarize clinical studies efficiently.
Provides concise summaries of research articles, saving time by extracting key points and practical implications directly to Apple Notes.
Here are the list of AI tools which we have created
Currently available:
1. Apple Shortcut for summarizing Articles: www.icloud.com/shortcuts/d7e1...
Coming soon:
1. Adult Vaccination : Coming back soon
2. Retinopathy AI: Coming soon
3. EndoAI : Coming back soon
4. Virtual dietician: Coming soon

[@EndocrinologyIndia]

🎯 Key points for quick navigation:
00:12 *🎤 Introduction to AI in Clinical Medicine*
- Discusses practical applications of AI in clinical practice as of June 2024,
- Highlights six key areas where AI can enhance clinical practice,
- Emphasizes the accessibility and immediate relevance of AI tools.
03:02 *🏥 Using AI for Diagnosis: Case Study*
- Demonstrates AI's capability in diagnosing complex cases using patient scenarios,
- Shows AI's ability to interpret clinical data and provide accurate diagnostic insights,
- Emphasizes the importance of clinical validation alongside AI-generated diagnoses.
08:51 *👁️ AI in Clinical Imaging: Diabetic Retinopathy*
- Explores AI's role in interpreting medical images, specifically in diabetic retinopathy,
- Compares custom-developed AI tools with commercial solutions like GPT-40,
- Highlights AI's accuracy and potential in specialized medical imaging tasks.
14:19 *📊 AI in Report Interpretation: Fibroscan Example*
- Illustrates AI's utility in interpreting complex medical reports such as fibroscan results,
- Discusses the ease of using AI for quick and accurate analysis of diagnostic tests,
- Shows practical applications for metabolic physicians in everyday clinical settings.
18:31 *🧪 Clinical decision support using custom GPT models*
- Using custom GPT models to address clinical conundrums like vaccine administration, aspirin use, and statin therapy.
- Provides guideline-based answers quickly and efficiently for common clinical questions.
19:00 *📊 Efficient extraction of key medical data from patient reports*
- Simplifying the process of extracting relevant medical data from lengthy patient reports.
- Focuses on extracting essential parameters like blood sugar, lipid profile, and thyroid function accurately and efficiently from PDF reports.
21:08 *🤖 Development of virtual agents in medical practice*
- Introduction of virtual agents like a virtual dietician to streamline dietary advice and management.
- Customizing dietary recommendations based on patient preferences, allergies, and medical history to enhance patient engagement and compliance.
25:35 *🍏 Apple shortcuts for summarizing clinical studies*
- Utilizing Apple shortcuts with GPT Plus subscription to summarize clinical studies efficiently.
- Provides concise summaries of research articles, saving time by extracting key points and practical implications directly to Apple Notes.
Made with HARPA AI

[@drmetroyt]

You can use local model no need to be limited by gpt 4 and spend money on it .

[@EndocrinologyIndia]

Yes

[@anjalianjali-wt7ub]

Impressive Presentation. What kind of help / work do you expect from Software Engineer while implementing these use cases?

[@EndocrinologyIndia]

Thank you. We no need help at various places. Do connect on LinkedIn
www.linkedin.com/in/dromlakhani?