
Chisom Rutherford
@ruthefordml
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Stethoscope & Algorithms. ML/AI Engineer @Hello_Welo. Medical AI & Agents/Automation. MBBS 6/6.
pale blue dot
Joined April 2022
This is why niche-specific AI experts will dominate the AI era. Sure, anyone can generate AI-hallucinated content, but only a trained medical expert can bring accuracy, depth, and trust to the conversation like this Learn how to use AI in your field, it could be the edge that
GPT-4o correctly differentiated normal from abnormal ECG patterns 100% of the time in this study. The potential here is that patients with normal ECG findings do not have to waste time and money seeing a cardiologist for interpretation unless necessary.
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The study focused on six common ECG findings. While GPT-4o performs well for binary classification of normal and abnormal, it performs poorly on accurate multiclass categorization.
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GPT-4o correctly differentiated normal from abnormal ECG patterns 100% of the time in this study. The potential here is that patients with normal ECG findings do not have to waste time and money seeing a cardiologist for interpretation unless necessary.
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@ruthefordml Yep It failed woefully at some low level maths I attempted solving with it few days ago. Deepseek has been a safe haven for me
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Someone here once said that it feels like the free version of ChatGPT has been dumbed down recently. I'm starting to believe it's true. Been using DeepSeek a lot recently for more complex tasks and it feels much smarter.
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Spoke to the team at @TechpointAfrica during my final exams about my journey balancing medical school and a far more exciting life that happens at nights and weekends - building healthcare products. Glad the journey has ended as a Doctor on the path to doing more🥹😮💨
In this edition of After Hours, we explore how the Internet can fuel curiosity, open opportunities, and inspire a new way of building solutions to real-world problems. https://t.co/4k0TYKFlte
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This is generally the case for medical models because missing out on a diagnosis when the disease is present could be fatal.
For cancer screening, recall is critical even if precision is lower. A model with 90% recall (even with 50% precision) is better than one with 95% accuracy but 70% recall.
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Knowing a lot about models is actually like 10% of AI engineering. 90% of the main tasks are backend engineering: APIs, data schemas, then prompt and context engineering, before even choosing the most appropriate model.
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Here's the prompt I used to create that picture:
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This is useful for people who build or use AI for healthcare applications, especially because one case of hallucination could have a lot of consequences in healthcare.
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Excited to share my new course on AI Agents. I've received many requests about scholarships. Not everyone can afford it, but everyone deserves a chance to learn and grow. I'm opening up scholarship spots for you. 1/3
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It's amazing what you can do with great prompting!
You guys requested more, so here: Birthday shoot: “Edit my photo and create a stylish woman in her 25th, black off-shoulder dress, posing confidently against a plain gray wall. The number "25" is dramatically projected in bright white light behind her, casting a strong shadow on
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It's so nice that one of the most influential AI papers has such a banger title and not some boring academic title 😂
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Applications Now Closed The response has been truly inspiring with over 2,600 applications received from healthcare students across Nigeria. Our team is now carefully reviewing all applications. To everyone who applied thank you. Please stay tuned for updates.
📢 Calling all Medical Students (MBChB/MBBS) in Nigeria who are interested in AI, Digital Health & Health Informatics? We’re offering 2 small research grants (< ₦300,000 each) to support your projects. Apply here: https://t.co/MLaJhxgmjB
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