The Health AI Brief
The Health AI Brief: Concise Audio Summaries for Busy Medical Professionals
Stay ahead of the technology transforming medicine, without sacrificing your time. The Health AI Brief provides rapid, high-impact audio summaries of Artificial Intelligence concepts, breaking news, and updates designed specifically for physicians, clinicians, and healthcare leaders.
The intersection of Healthcare and AI is moving faster than clinical guidelines can keep up. You don’t have time to read lengthy white papers or technical journals. We distill complex Machine Learning research and Digital Health news into bite-sized audio guides you can consume in minutes.
We Cover:
- Clear explanations of LLMs, Neural Networks, and NLP relevant to clinical practice.
- Clinical Applications.
- Updates on AI in Medicine.
- Key updates on FDA, MHRA and other regulatory approvals, data privacy, and important ethical considerations with medical algorithms.
Stay informed, save time, and future-proof your career.
024 Efficient Learning and Smart Shortcuts for Medical AI
AI stethoscope trial press release vs peer review
OpenAI and Penda Health's AI Consult Real World Study
023 Self and Semi Supervised Learning Learning from Imperfect Data
022 Unsupervised learning finding the patterns we might not have seen
Beyond the Benchmark How do we test a 'superhuman'doctor
021 Supervised learning learning with flashcards
020 Hyperparameters the AI's recipe
DrCaBot and CPC bench AI tackling Grand Rounds
019 Gradient descent finding the bottom of the valley
OpenAI open weights vs open source
018 The AI's Scorecard What is a Loss Function
017 How models actually learn
016 DICOM, HL7, FHIR The languages of medical data exchange
015 Training data vs validation data vs test data
014 Data annotation and labelling
013 Data cleaning and preprocessing
012 Data quality Junk In, Junk Out
011 Structured vs Unstructured Data
010 The AI Tipping Point in Medicine, Why Now
009 AI Agents
008 Narrow vs General AI, AGI and ASI
007 Parameters
006 Deep Learning
005 Neural Networks
004 Models
003 AI vs Machine learning
002 Definitions of 'AI'
The Verdict on AI Scribes Analysing the First Major RCTs
001 Introduction