Artificial Intelligence (AI) in Health Promotion and Prevention.pptx

It shows Artificial Intelligence (AI) in Health Promotion and Prevention

1. Name: Aya adel mohammed Abbas Group: c – c2 Id: 112104 Artificial Intelligence (AI) in Health Promotion and Prevention

2. Transforming Healthcare Through Technology AI is revolutionizing how we approach health promotion and disease prevention, from personalized apps to early diagnostics . So, How can we take advantage of it?

3. AI’s Role in Healthcare: A) Diagnostics : AI analyzes medical images (X-rays, MRIs) with  96%+ accuracy , e.g.: Google’s DeepMind for eye disease: A study  in Nature Medicine  reports that the DeepMind system can identify dozens of diseases and point out the portions of optical coherence tomography scans that it relies upon to make its diagnoses.  The paper states that the system made the right referral recommendation in more than 94% of cases based on a review of historic patient scans at Moorfields Eye Hospital in London and performed as good as, or better than, top eye specialists who examined the same scans .

4. AI’s Role in Healthcare: B) Prevention & Early Intervention : AI predicts outbreak, e.g.: Apple Watch ECG : detect atrial fibrillation early. C) Personalized Care: Virtual Health Coaches , e.g.: Apps like  Zoe:   customize nutrition plans using gut microbiome data.

5. Revolutionizing Mental Healthcare: AI-Powered Emotional Support 1. AI Therapy Tools Woebot: CBT-based chatbot, reduces depression symptoms by 22% Woebot checks in daily, teaching coping strategies . Wysa: AI + human coaches, clinically validated for anxiety Feature: Emotion detection via text analysis.

6. Revolutionizing Mental Healthcare: AI-Powered Emotional Support 2. Addiction Prevention Elapse Prediction: AI analyzes smartphone usage (screen time, location) to flag relapse patterns SoberGrid:   app uses AI to connect users with peer support during high-risk moments 3. Crisis Intervention Suicide Prevention: AI scans social media posts for suicidal ideation (e.g.,  Crisis Text Line's AI triage system ). N.B: Stat :   94% accuracy in detecting crisis language (Facebook & CMU research ).

7. The Irreplaceable Human Touch in Healthcare 1. Inability to Perform Physical Examinations: AI cannot replicate a doctor’s palpation, percussion, or auscultation skills. Example: Detecting subtle abdominal rigidity in appendicitis requires human touch. 2 . Failure in Holistic Patient Assessment: AI ignores facial expressions (e.g., pain grimaces), tremors, or guarded movements (critical for neurology/psychiatry). Patients share critical info only after  eye contact  and  empathic silence , which is, of course, something AI isn’t capable of.

8. The Irreplaceable Human Touch in Healthcare 3. Lack of Intuitive Reasoning: AI may suggest fatal drug doses when presented with unconventional symptoms Physicians override AI recommendations 41% of the time due to contextual knowledge .

9. Conclusion: So, AI: Excels at: Processing scans faster Finding patterns in big data Fails at : Reading a patient’s unspoken fears Choosing between two 'correct' treatments for a unique individual Taking responsibility when things go wrong The future?  Collaborative intelligence : where AI assists, but never replaces, clinicians.

10. References: Topol, E. (2019).  Deep Medicine: How AI Can Make Healthcare Human Again . WHO Report on AI in Health (2023). Journal of Medical Internet Research (peer-reviewed AI studies ). Esteva, A., et al. (2017). *Dermatologist-level classification of skin cancer with deep neural networks*. Nature, 542(7639), 115-118. IBM Watson Health. (2020).  AI in oncology: Improving cancer detection . Perez, M. V., et al. (2019).  Apple Watch detects atrial fibrillation with 84% accuracy . New England Journal of Medicine, 381(20), 1909-1917. Zoe Health Study. (2023).  Personalized nutrition using AI and gut microbiome data . Fitzpatrick, K. K., et al. (2017).  Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): A randomized controlled trial . JMIR Mental Health, 4(2), e19. Inkster, B., et al. (2018). *An empathy-driven, conversational AI for mental health support*. Nature Digital Medicine, 1(1 ). Crisis Text Line. (2022).  AI in crisis response .