Udemy - AI in Healthcare - A-Z Guide on Tech, Applications and Et...
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AI in Healthcare: A-Z Guide on Tech, Applications & Ethics
https://WebToolTip.com
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 35m | Size: 1.47 GB
Learn how AI is transforming diagnostics, drug discovery, and surgery, and explore its ethics, challenges, and future
What you'll learn
Explain core AI concepts in healthcare, including Augmented Intelligence and key drivers like data growth and computing power.
Differentiate between Machine Learning techniques (Supervised vs. Unsupervised) and Deep Learning neural networks in medicine.
Apply Natural Language Processing (NLP) concepts to extract insights from unstructured clinical data and electronic health records.
Analyze how Convolutional Neural Networks (CNNs) and Computer Vision are revolutionizing radiology and digital pathology diagnostics.
Evaluate AI's role in accelerating drug discovery, from target identification and virtual screening to optimizing clinical trials.
Examine how AI enables precision medicine by tailoring oncology treatments and enhancing surgical precision with robotic systems.
nstrate how predictive analytics and AI workflow tools optimize hospital operations, manage patient flow, and reduce clinician burnout.
Assess the impact of patient-facing AI, including remote monitoring wearables and 24/7 virtual health assistants, on care delivery.
Identify critical implementation hurdles such as data privacy risks (re-identification), interoperability (FHIR), and high costs.
Navigate the regulatory landscape for AI medical devices (FDA pathways) and develop strategies to mitigate algorithmic bias in healthcare.
Evaluate ethical dilemmas in AI healthcare, including the "Black Box" problem, accountability for errors, and patient informed consent.
Explore emerging trends like Generative AI for synthetic data creation and Federated Learning for privacy-preserving collaboration.
Define the "Augmented Clinician" concept and the importance of algorithmic literacy in the future evolving medical workforce.
Requirements
No prior experience needed
Files:
[ WebToolTip.com ] Udemy - AI in Healthcare - A-Z Guide on Tech, Applications and Ethics- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Welcome & Course Overview
- 1 - Welcome & Course Overview.mp4 (44.3 MB)
- 1 - The Black Box Problem The Critical Need for Explainability and Trust.mp4 (29.2 MB)
- 2 - Opening the Box The Rise of Explainable AI (XAI).mp4 (18.0 MB)
- 3 - Accountability & Liability Who is Responsible When AI is Wrong.mp4 (25.3 MB)
- 1 - Emerging Trend Generative AI and Synthetic Data Creation.mp4 (37.8 MB)
- 2 - Emerging Trend Federated Learning for Privacy-Preserving Collaboration.mp4 (43.7 MB)
- 3 - Emerging Trend AI's Expanding Role in Mental Health.mp4 (38.4 MB)
- 4 - The Augmented Clinician How AI Will Evolve, Not Replace, Healthcare Roles.mp4 (32.0 MB)
- 5 - The Need for Algorithmic Literacy in Medical Education.mp4 (30.7 MB)
- 1 - Summary of Key Learnings.mp4 (65.6 MB)
- 2 - Thank You & Course Wrap-up.mp4 (23.9 MB)
- 1 - Defining AI in a Clinical Context.mp4 (59.7 MB)
- 2 - The Paradigm Shift Key Drivers of the AI Transformation.mp4 (52.2 MB)
- 1 - Machine Learning (ML) The Engine of Prediction.mp4 (29.3 MB)
- 2 - Supervised Learning (Classification vs. Regression).mp4 (21.0 MB)
- 3 - Unsupervised Learning (Patient Stratification, Anomaly Detection).mp4 (36.0 MB)
- 4 - Deep Learning & Neural Networks Explained.mp4 (32.6 MB)
- 5 - Natural Language Processing (NLP) Unlocking Unstructured Clinical Data.mp4 (23.2 MB)
- 6 - Computer Vision Giving Machines Medical Sight.mp4 (21.9 MB)
- 7 - Medical Robotics The Physical Embodiment of AI.mp4 (26.3 MB)
- 1 - Revolutionizing Radiology AI as the Radiologist's Co-pilot.mp4 (26.8 MB)
- 2 - Deep Dive How Convolutional Neural Networks (CNNs) Analyze Medical Images.mp4 (25.1 MB)
- 3 - Case Study - AI in Oncology Imaging (Detecting Cancers in CTs & MRIs).mp4 (38.4 MB)
- 4 - Case Study - AI for Diabetic Retinopathy Screening.mp4 (26.4 MB)
- 5 - Case Study - AI in Neurological Disorders (Predicting Alzheimer's from MRIs).mp4 (26.4 MB)
- 6 - The Rise of Digital Pathology AI Analysis of Tissue Samples.mp4 (31.8 MB)
- 7 - Industry Spotlight Key Players in Diagnostic AI -GE Healthcare, Aidoc, Paige AI.mp4 (36.9 MB)
- 1 - Solving the R&D Crisis How AI is Making Drug Discovery Faster and Cheaper.mp4 (27.8 MB)
- 2 - AI for Target Identification and High-Speed Virtual Screening.mp4 (27.3 MB)
- 3 - Predicting Drug Efficacy and Optimizing Clinical Trial Design.mp4 (29.5 MB)
- 4 - Case Study - BenevolentAI and Rapid Drug Repurposing for COVID-19.mp4 (30.8 MB)
- 1 - Beyond One-Size-Fits-All AI for Personalized Treatment Plans.mp4 (24.3 MB)
- 2 - Case Study - AI-Driven Personalized Oncology (Tempus).mp4 (30.5 MB)
- 3 - Enhancing the Surgeon's Hand AI in Precision Surgery.mp4 (36.7 MB)
- 4 - Industry Spotlight Leaders in Surgical Robotics (Intuitive Surgical, Medtronic).mp4 (44.4 MB)
- 1 - Tackling Clinician Burnout with AI-Powered Workflow Optimization.mp4 (29.8 MB)
- 2 - Automating Documentation From Medical Coding to Ambient AI Scribes.mp4 (24.3 MB)
- 3 - Predictive Analytics for Hospital Management.mp4 (28.6 MB)
- 1 - The Digital Front Door Redefining the Locus of Healthcare.mp4 (16.8 MB)
- 2 - Wearables & Remote Patient Monitoring (RPM) for Chronic Conditions.mp4 (31.0 MB)
- 3 - Case Studies in RPM Managing Cardiovascular Disease, Diabetes, and Respiratory.mp4 (33.2 MB)
- 4 - Virtual Health Assistants & Chatbots Providing 247 Access to Care.mp4 (16.3 MB)
- 1 - Data Privacy & Security The HIPAA Paradox and Re-identification Risk.mp4 (31.5 MB)
- 2 - Algorithmic Bias & Health Equity Preventing AI from Amplifying Disparities.mp4 (50.6 MB)
- 3 - Navigating the FDA Regulatory Pathways for AI Medical Devices.mp4 (44.2 MB)
- 4 - The Integration Bottleneck Interoperability with Legacy EHR Systems.mp4 (28.2 MB)
- 5 - The Bottom Line Understanding the Cost and Resource Allocation for AI.mp4 (26.4 MB)
- Bonus Resources.txt (0.1 KB)
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