Test 1 : 15th May
🌍 Regional Variation - Progress varies, with South Sudan and Burundi focused on infrastructure
📊 Monitoring - Close evaluation needed to assess benefits and risks

#HIV #NCD #EastAfrica
https://tnyp.me/bEqoVfN6/m

📢 Insights into early COVID-19 clinical characteristics

A Wuhan-based study explores the clinical features and epidemiology of novel coronavirus-infected pneumonia (NCIP) in

🔗 Read more: https://tnyp.me/WWGkouNh/m

Trade-offs in Medical AI

🤖 Lack of relevant metrics hinders AI integration.
🔬Absence of clinical trials affects validation.
👥 Need for patient and physician involvement.

#MedAI #Healthcare #SustainableAI

https://tnyp.me/cSdVDMf8/m

pub2calender test1 Ambient AI Scribes in Clinical Practice: A Randomized Trial

📉 Nabla reduced time-in-note by 9.5% compared to controls.
📈 Both AI tools showed improvements in burnouts and task load scores.
🔬 Infrequent inaccuracies observed, necessitating vigilance.
Read full at https://tnyp.me/DkhjcAVB/m
#AIScribes #RCT #ClinicalInnovation

AI advances medicine:

- Automated tasks ⚙️: Biomedical tasks improved.
- Fewer data needed 📉: GAI models excel with less data.
- Complex tasks support 🧩: Agents enhance healthcare.

#AI #Healthcare #Biomedical #DeepLearning https://tnyp.me/z8HpArKW/m

test 2 AI Scribes in Clinical Practice: A Randomized Trial

📉 Nabla reduced time-in-note by 9.5%
🆙 DAX improved Mini-Z score by 2.83
🧠 Similar performance across platforms

#AITech #Healthcare #RCT

https://tnyp.me/jjCiMbO6/m

Test 1 Are non-lexical conversational sounds barriers for clinical documentation?

🔍 NLCS like "Mm-hm" affect ASR accuracy
🗣 135,647 words, 2.4% NLCS
⚠️ 94.7% WER for Google ASR with clinically relevant NLCS
https://tnyp.me/uTyoMoyV/m #ASR #NLP #clinicaltranscription #JAMIA