AI in the Clinic: Prediction is Better Than Cure
summary
Clinic work shows an ultrasound device by Crea kba that images through the infant fontanel and, with convolutional neural nets plus explainable‑AI heatmaps, distinguishes meningitis with about 85–86% accuracy in the Spanish cohort but lower performance in Mozambique requiring further validation. A pipeline pairs zebrafish drug screening with ML classifiers to flag compounds that restore cardiac function, and MRI motion analysis uses deep learning and LLMs to turn model outputs into clinical reports aimed at scalable, explainable diagnosis.
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chapters (10)
- 0:00AI in clinical healthcare
- 1:30AI's human impact
- 3:16AI healthcare pillars
- 5:21Deep learning in medical imaging
- 7:47AI for early diagnostics
- 13:28AI for cardiovascular disease
- 17:06AI drug discovery for heart
- 20:20AI detection of heart motility
- 23:32AI ethics and democratization
- 24:16Q&A on AI in healthcare
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