Generative AI in Medicine Review:

🚀 GAI automates clinical and research tasks using ML models.
📉 Needs less training data; performs better with specific datasets.
🤖 Advances include agents, GANs, and reasoning models.
🏥 GAI improves healthcare processes and reduces costs.

Discover more in DOI: https://tnyp.me/3sup6c6S/m
#Pub2Post #AI #Healthcare #Medicine #MachineLearning #Innovation

"Patient/Industry Trade-off in Medical AI"

•️AI in healthcare enhances detection accuracy in cancers and COVID-19
•️Interpretable models improve trust by predicting mortality and hospitalization
•️Patient benefits need ethical considerations, minimize biases

For sustainable collaborations:
•️Emphasize explainable AI systems
•️Build patient-focused industry relationships
•️Promote transparency in model development

#MedicalAI #Healthcare #Ethics #Transparency #Pub2Post https://tnyp.me/PVuATQWG/m

AI in Healthcare: An Overview

🤖 AI enhances data analysis, optimizing health practice efficiency.
🚑 AI aids in diagnostics, especially in cancer and radiology.
📊 Machine Learning (ML) algorithms predict suicide risk and refine precision medicine.
🩺 Electronic health records (EHRs) leverage AI for chronic disease prediction.

#AI #HealthcareInnovation #Pub2Post https://tnyp.me/fnngf5T6/m

Ambient AI improves practitioner well-being.
📝 38% of 71,487 notes crafted with AI
📉 Work exhaustion reduction: -0.44 points
⏱️ Documentation time cut by 0.36 hrs/day
#AI #Healthcare #Wellbeing #Pub2Post https://tnyp.me/f9nrbqfx/m

Examines the impact of NLCS on ASR for clinical documentation.
🍃 High NLCS error rates: 40.8% (Google) and 57.2% (Amazon).
🗣️ Clinical relevance errors: 94.7% (Google), 98.7% (Amazon).
📊 Total words: 135,647; NLCS: 2.4%.

#ASR #NLP #ClinicalDocumentation #PatientSafety #Pub2Post
https://tnyp.me/Npmiz0F4/m

“Mm-hm,” “Uh-uh”: are non-lexical conversational sounds deal breakers for the ambient clinical documentation technology?

AbstractObjectives. Ambient clinical documentation technology uses automatic speech recognition (ASR) and natural language processing (NLP) to turn patient

OUP Academic

Title: Ambient AI Improves Practitioner Well-Being

📉 Work exhaustion reduced by 0.44 points (P<0.001)
📈 Professional fulfillment increased by 0.14 points (P=0.04)
🕒 Documentation time decreased by 0.36 hours/day

#Healthcare #AI #ClinicalTrial #Burnout #EHR #DigitalHealth #Medicine #Technology #Innovation #Pub2Post https://tnyp.me/f9nrbqfx/m

Pragmatic RCT explores ambient AI in healthcare.
✨ 38% of 71,487 notes used AI
⏲️ Documentation time ↓ by 0.36 hrs/day
📉 Work exhaustion ↓ 0.44 pts
🔍 Quality scores 3.97-4.99
For more details, visit the DOI link: https://tnyp.me/f9nrbqfx/m #AI #Healthcare #Pub2Post

New nosocomial infection strategies unveiled.

🦠 Increased morbidity/mortality in ICUs/surgery
🔬 Complex transmission despite hygiene
📉 Urgent need for refined protocols

#ClinicalResearch #Healthcare #NosocomialInfections #Pub2Post https://tnyp.me/PVuATQWG/m

Non-lexical sounds impact ASR in clinical documentation.

🔊 NLCS: 2.4% of total words, conveying key clinical info
😷 Google's WER: 40.8%, Amazon's: 57.2% (all NLCS)
❌ Error rates for clinically relevant NLCS: Google 94.7%, Amazon 98.7%
📝 Total words: 135,647; 3284 NLCS; 76 conveyed critical data
🗣️ Described implications on documentation accuracy

#ASR #ClinicalDocumentation #SpeechRecognition #AI #NLPSolutions #Pub2Post https://tnyp.me/Npmiz0F4/m

Study analyzed COVID-19 patient data.
📊 88.5% fever, 64.5% lymphocytopenia
🔬 Lymphocytopenia common (64.5%)
🧪 52% discharged; 5% fatality
#COVID19Research #Pub2Post
https://tnyp.me/TYvdENdb/m