#HealthCareAI

PennLDI

@pennldi.bsky.social

5 hours ago

In #ThePitt, an AI charting tool hallucinates a patient's medical history—nearly causing harm.

Fiction? Yes. Real risk? Absolutely.

LDI Fellow Eric Bressman shares solutions for responsible use of #HealthCareAI at the local- and system-levels. Read more here: https://bit.ly/4vt1WnM

Artificial Intelligence (AI) In Medicine Conference 2026

@ai-medicalcongress.bsky.social

9 hours ago

AI is transforming drug discovery, making healthcare faster and smarter.

Join the conversation at #AIIM2026
📅 May 04–05, 2026 | Boston

🌐 ai-medicalcongress.com

#AI #DrugDiscovery #HealthcareAI #MachineLearning #DeepLearning #Biotech #DigitalHealth

iMerit

@imerit.bsky.social

1 day ago

Biosensors & wearables generate continuous physiological, motion & neurological data, but raw signals aren’t enough.
iMerit helps annotate ECG, PPG, IMU & EEG data with domain experts & compliant workflows.

Learn more: imerit.net/domains/medi...

#MedicalAI #Wearables #Biosensors #HealthcareAI

Timelines

@hulio-ai.bsky.social

1 day ago

#AI2026
🔥 700°C memory chips: Extreme durability for tough AI tasks.
⚡ Analog AI chips: More efficient deep learning.
🧬 AI in healthcare: Faster Alzheimer's and drug research.
#AI2026 #MemoryChips #AnalogAI #HealthcareAI
View in Timelines

John Lynn

@techguy.healthcareittoday.com

2 days ago

DeepCura Becomes the First Agentic Native Company in U.S. Healthcare: Inside the Architecture | Healthcare IT Today The following is a guest article by Fernando Cowan, Founder and CEO of DeepCura With two human employees and seven AI agents running the organization, DeepCura is proving that agentic native architecture delivers capabilities that bolt-on AI cannot match When healthcare organizations evaluate AI platforms, they typically ask what the technology does. A more revealing

DeepCura Becomes the First Agentic Native Company in U.S. Healthcare: Inside the Architecture #HITsm #HealthcareAI
https://www.healthcareittoday.com/?p=2533647

AktieGo

@aktiego.bsky.social

2 days ago

The prior authorization crisis just met its match.
Korcomptenz & Hindsait team up to automate it with NLP, ML & explainable AI.
Human-in-the-loop done right.
Read how healthcare admin is about to change forever:

aktiego.com/sectors/biot...

#HealthcareAI #AIPriorAuthorization #AdministrativeBurden

@drtimos.bsky.social

3 days ago

Winning in AI Search: 12 Key Takeaways for Brand Owners in the Age of AI Search - LucidQuest Ventures The integration of AI in Medical Affairs teams revolutionizes healthcare from harnessing real-world evidence to transforming HCPs engagement.

Win AI search for your brand: structure trials (PMC), align patient portals, publish side-by-sides, frame safety, and own your canonicals.

More: http://dlvr.it/TRtWLZ #AIsearch #HealthcareAI #LucidQuest

Breach And Build

@breachandbuild.bsky.social

5 days ago

AI is disrupting healthcare, promising revolutionary advancements. But does innovation come at the cost of insecurity? We...

#Technology #BreachAndBuild #HealthcareAI #AIethics #MedicalCybersecurity

breachandbuild.com/healthcare-ai-disruption...

Artificial Intelligence (AI) In Medicine Conference 2026

@ai-medicalcongress.bsky.social

6 days ago

AI & Robotics are revolutionizing healthcare, from research to diagnosis.

Join AIIM 2026 in Boston | May 04–05, 2026

🔗ai-medicalcongress.com

Shaping the future of intelligent healthcare.

#AI #Robotics #HealthcareAI #DigitalHealth #MedTech #AIInnovation #PrecisionMedicine

Artificial Intelligence (AI) In Medicine Conference 2026

@ai-medicalcongress.bsky.social

1 week ago

Mid-term registration for #AIIM2026 is still open until April 7, 2026!

Join us in Boston (May 04–05, 2026) to explore the future of AI in Medicine.

Register now at discounted rates 👇
🔗 ai-medicalcongress.com/registrations/

#AIinMedicine #HealthcareAI #MedicalConference #DigitalHealth

Breach And Build

@breachandbuild.bsky.social

1 week ago

NYC Health + Hospitals' CEO Mitchell Katz is ready to replace human radiologists with AI! We covered the groundbreaking (and...

#Technology #BreachAndBuild #radiologyAI #MitchellKatz #healthcareAI

breachandbuild.com/nyc-health-hospitals-ceo...

MedCloudInsider

@medcloudinsider.bsky.social

1 week ago

Atlantic Health Uses AI Agents to Improve Colonoscopy Screening Rates -- MedCloudInsider Deployment of Artera’s AI tools aims to close care gaps and increase patient engagement in preventive screening.

Atlantic Health is using AI agents from Artera to improve colonoscopy screening rates through automated outreach, follow-ups and patient communication.

See how AI is supporting preventive care: https://ow.ly/mFkO50YBe0Y

#ArtificialIntelligence #HealthcareAI #PreventiveCare

Breach And Build

@breachandbuild.bsky.social

1 week ago

Palantir's powerful AI is entering healthcare, and we're asking the tough questions. Is this a leap forward or an ethical minefield? Dive into...

#Technology #BreachAndBuild #Palantir #HealthcareAI #DataEthics

breachandbuild.com/palantirs-healthcare-ai-...

Why Scripted

@whyscripted.bsky.social

1 week ago

At @websummit.bsky.social Qatar, Stoyan Halkaliev, CEO of NursIT, explains why most AI tools fail nurses.

Their environment is fast-paced, with frequent interruptions and constant movement. AI must adapt to these realities.

Watch the full interview:
youtu.be/G8L4CvRYaLk

#HealthcareAI #Tech

Timelines

@hulio-ai.bsky.social

1 week ago

⚡ Efficient AI: 100x less power use.
🤖 Multimodal: Improved diagnostics.
🌎 Real-world AI: Boosts healthcare.
🚀 Agentic AI: NVIDIA's new GPUs.
#AIBreakthroughs #EnergyEfficiency #HealthcareAI #AgenticAI
View in Timelines

iMerit

@imerit.bsky.social

1 week ago

Your smartwatch knows your heart rate. But does your AI understand it? Raw biosensor signals are messy and hard to label. iMerit breaks it down.

Read the blog: imerit.net/resources/bl...

#HealthcareAI #Wearables #Biosensor #DigitalHealth #DataAnnotation

@drtimos.bsky.social

1 week ago

AI-driven web search: 12 takeaways for healthcare brand owners Dive deeper Use this 12-point checklist to make your healthcare brand findable and consistently summarized in AI searches, by structuring PMC/NCBI evidence, patient portals, industry pages, and canonicals so LLMs can rank, cite, and compare you accurately. AI models “think” like savvy web researchers: Key point: Models synthesize across many sources; brand story depends on findability and alignment. Context: Ensure coverage across all relevant source types. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Peer-reviewed visibility (PMC/NCBI etc.) matters: Key point: Make trial data public, citable, and easy to parse. Context: Use structured abstracts and stable identifiers on PMC/NCBI. Implication: May influence prescriber choice and payer reviews pending full data. Control the patient narrative on health portals (e.g., drugs.com, betterhealth etc.): Key point: Align indications, dosing, side effects, and plain language across high-traffic pages Context: Control the patient narrative on medication listings. Implication: May expand screening, initiation, and follow-up at scale. Win on real-world relevance: Key point: Support specialty clinician/patient sites with practical comparisons and “which patient, when” guidance. Context: Include comorbidity nuances (e.g., cardiovascular considerations). Implication: Could inform practice and payer discussions; interpretation depends on study design and confounding controls. Shape market perception proactively: Key point: Keep industry news and market-research outlets current on head-to-head outcomes, satisfaction data, differentiators, and updates. Context: Proactive pipeline and performance communications. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Expect broader safety framing: Key point: AI will place drugs within general risks (polypharmacy, dependency, organ damage). Context: Provide guardrails, mitigation messaging, and clear context. Implication: Could inform practice and payer discussions; interpretation depends on risk communication quality. Consistency is king: Key point: Harmonize facts and language across scientific, patient-facing, industry, and encyclopedic sources. Context: AI summaries amplify discrepancies. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Make content AI-ready: Key point: Use concise abstracts, structured summaries, FAQs, and clear tables so models can cite/compare/rank. Context: Maintain consistent terminology and headings. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Own your canonicals: Key point: Maintain authoritative, up-to-date pages AI can reliably point to. Context: Align brand names, formulations, and claims across channels. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Anticipate comparative queries: Key point: Publish transparent, side-by-side efficacy/safety/convenience content. Context: Address the questions AI is asked most. Implication: May influence prescriber choice and payer reviews pending full data. Monitor and correct: Key point: Audit AI outputs and update upstream sources to shift the synthesis. Context: Iterate based on observed summaries. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Think holistically: Key point: Combine scientific proof, patient clarity, market sentiment, and general health context. Context: That mix drives discovery and portrayal in AI. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. FAQ Q: How should clinical evidence be prepared for AI-driven search (PMC/NCBI)? A: Publish results with clear abstracts, structured fields, and citable identifiers. Keep summaries concise so models can parse endpoints and context. Implication: May influence prescriber choice and payer reviews pending full data. Q: Which patient-facing portals matter for narrative control (drugs.com, betterhealth)? A: Prioritize high-traffic medication pages; harmonize indications, dosing, side effects, and plain language. Consistency reduces contradictory AI summaries. Implication: May expand screening, initiation, and follow-up at scale. Q: What makes content “AI-ready” for LLMs? A: Use structured summaries, FAQs, and comparison tables with clear headings and consistent terminology. This helps models cite, compare, and rank accurately. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. Q: How should safety be framed given AI’s broader context (polypharmacy, dependency, organ damage)? A: Pair labeled risks with guardrails and mitigation guidance in plain language, noting when risks are most relevant. Provide context so AI places the drug appropriately within general safety. Implication: Could inform practice and payer discussions; interpretation depends on risk communication quality. Q: Why invest in canonical pages for AI search? A: Authoritative, up-to-date canonicals anchor citations and reduce drift across sources. Align names, formulations, and claims so AI defaults to the right reference. Implication: Clarifies value proposition and reduces buyer friction through proof points and clear CTAs. 📢 Stay Ahead in AI in the BioPharma and Healthcare space; get in touch at info@lqventures.com to find out how we can help your brand thrive! #LucidQuest #AIsearch #HealthcareAI #PharmaMarketing #BrandStrategy #CompetitiveIntelligence #GenerativeAI #HealthTech

Win AI search for your brand: structure trials (PMC), align patient portals, publish side-by-sides, frame safety, and own your canonicals.

More: http://dlvr.it/TRkjcW #AIsearch #HealthcareAI #LucidQuest

Artificial Intelligence (AI) In Medicine Conference 2026

@ai-medicalcongress.bsky.social

1 week ago

Traditional drug discovery relies on trial and error but predictive AI is transforming the process.

Be part of the change at AI in Medicine Conference (AIIM-2026)
May 04–05, 2026 | Boston

Learn more: ai-medicalcongress.com

#AIinMedicine #DrugDiscovery #HealthcareAI

Pure Tech

@puretech.news

1 week ago

Qualified Health raises $125M to transform how enterprise healthcare systems adopt AI - SiliconANGLE Qualified Health raises $125M to transform how enterprise healthcare systems adopt AI - SiliconANGLE

Qualified Health raises $125M to transform how enterprise healthcare systems adopt AI #Technology #Business #HealthTech #HealthcareAI #EnterpriseSolutions #Fundraising

siliconangle.com/2026/03/26/qualified-hea...

Mason Roberts

@masonroberts.bsky.social

1 week ago

you do need to be ready to adapt and learn to shift along with the changing systems.

#HealthcareAI #HealthcareWorkforce #ValueBasedCare #HealthcareInnovation #HealthcareLeadership

buff.ly/tHrAyzZ

Azurro

@azurropl.bsky.social

1 week ago

Sztuczna inteligencja w medycynie jest używana w bardzo konkretnych zadaniach. Na przykład: – pomaga lekarzom interpretować badania obrazowe – wspiera tworzenie dokumentacji medycznej – jest wykorzystywana przy planowaniu i wspomaganiu zabiegów – umożliwia monitorowanie stanu pacjentów i wcześniejsze wykrywanie pogorszenia stanu Jednocześnie ma ograniczenia. Może popełniać błędy, a jej skuteczność zależy od danych i kontekstu, w którym jest używana. Dlatego najlepiej działa jako wsparcie pracy lekarza, a nie jego zastępstwo. W najnowszym artykule szerzej opisaliśmy ten obszar zastosowania sztucznej inteligencji - zapraszamy! nasz blog: www.azurro.pl/blog-pl/

AI w medycynie działa jako wsparcie lekarzy. Jesteście ciekawi przykładów? Zapraszamy na bloga: azurro.pl/sztuczna-int...

#AIwMedycynie #HealthcareAI #DigitalHealth #AI

@sarawillenborg.bsky.social

2 weeks ago

7 ways AI is transforming healthcare While healthcare lags in AI adoption, these game-changing innovations - from spotting broken bones to assessing ambulance needs - show what's possible.

There is huge potential for AI to make impacts within our healthcare systems - but it will all depend on HOW this technology is rolled out.

This article hits on why responsible use and ethics need to keep pace with AI innovation.

#snhusmm #healthcareAI

www.weforum.org/stories/2025...

@sarawillenborg.bsky.social

2 weeks ago

Conversations about AI in healthcare can't just be about efficiency.

Cost reduction sounds great in theory, but when it comes at the expense of patient trust and accessibility - we may need to pause and reevaluate.

#snhusmm #healthcareAI

Boston Healthcare Cloud & AI Community

@boston-hug.bsky.social

2 weeks ago

250+ healthcare AI builders, engineers, and execs. One room. One day.

BOSHUG is an official Media Partner of the AI Builders Summit: Healthcare and we're hosting our networking meetup inside the event.

Come and Join us!

#BOSHUG #HealthcareAI #AIBuildersSummit #BostonAI

HackerNoon

@handle.invalid

2 weeks ago

The 7-Step ML Workflow for Imbalanced Clinical Risk Prediction

Skip the accuracy trap: a 7-step ML workflow for imbalanced clinical risk prediction using stacking, SMOTE Tomek & honest validation. #healthcareai

Boston Healthcare Cloud & AI Community

@boston-hug.bsky.social

2 weeks ago

🎟️ Get 50% OFF on Tickets exclusive to our community: ti.to/sequel-media/ai-builders...

#BOSHUG #HealthcareAI #BostonAI #CommunityRocks #Communityluv

Boston Healthcare Cloud & AI Community

@boston-hug.bsky.social

2 weeks ago

This Wednesday, BOSHUG meets the healthcare AI ecosystem.

We're hosting our March Networking Meetup inside the AI Builders Summit: Healthcare on Wed, March 25.

50% off for our community. Link below. 👇

Summit registration required to attend.

#BOSHUG #HealthcareAI #AIBuildersSummit #BostonAI

@rightskale.bsky.social

2 weeks ago

One word is quietly costing health plans in dual enrollment: "Manual."
Manual scales linearly. Complexity scales exponentially. That gap is where leakage lives. 🔗 Read: www.rightskale.ai/Article4.html
#DualEligible #HealthcareAI #ManagedCare

MedCloudInsider

@medcloudinsider.bsky.social

2 weeks ago

HOPPR and NVIDIA Are Chasing a More Transparent Future for Medical Imaging AI -- MedCloudInsider HOPPR has added NVIDIA’s NV-Reason and NV-Generate models to its AI Foundry platform for medical imaging development.

HOPPR and NVIDIA are targeting data access and transparency challenges in medical imaging AI with new models that add structured reasoning and synthetic dataset generation.

See how medical AI is tackling trust and data: https://ow.ly/LbhB50Yxw1C

#AI #HealthcareAI #MedicalImaging

Artificial Intelligence (AI) In Medicine Conference 2026

@ai-medicalcongress.bsky.social

2 weeks ago

Mid registration for AIIM 2026 ends on March 25, 2026!

Join AIIM 2026 and connect with global AI and healthcare experts.

May 04–05, 2026 | Boston, USA
🔗https://ai-medicalcongress.com/registrations/

#HealthcareAI #MedicalImaging #DigitalHealth #HealthTech #MedTech #AIResearch #MedicalInnovation