Ziplitics

Systematic literature reviews done in minutes, not months.
Explainable AI for research. Learn more at:

[Ziplitics @ziplitics]

Happy Labor Day from all of us at Ziplitics!

We’re grateful for the people whose hard work continues to move research meaningfully forward.

Wishing our partners and communities a safe and restful Labor Day.

#LaborDay #EvidenceBasedResearch #Research

[Ziplitics @ziplitics]

⚕️🔬📈 𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐬𝐡𝐨𝐮𝐥𝐝 𝐬𝐭𝐚𝐫𝐭 𝐛𝐞𝐟𝐨𝐫𝐞 𝐏𝐡𝐚𝐬𝐞 𝐈𝐈𝐈 - 𝐰𝐢𝐭𝐡 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐀𝐟𝐟𝐚𝐢𝐫𝐬 𝐩𝐥𝐚𝐲𝐢𝐧𝐠 𝐚 𝐜𝐞𝐧𝐭𝐫𝐚𝐥 𝐫𝐨𝐥𝐞.

Learn why with the following Springer Nature article here: https://t.co/rA237k9KQ9

[Ziplitics @ziplitics]

𝐇𝐄𝐎𝐑 𝐡𝐚𝐬 𝐚 𝐥𝐚𝐫𝐠𝐞𝐫 𝐫𝐨𝐥𝐞 𝐭𝐨 𝐩𝐥𝐚𝐲 𝐢𝐧 𝐯𝐚𝐥𝐮𝐞-𝐛𝐚𝐬𝐞𝐝 𝐡����𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐭𝐡𝐚𝐧 𝐜𝐨𝐬𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐥𝐨𝐧𝐞.

📜 Link to ISPOR Report here: https://t.co/QjS4kSgndh

#HEOR #ValueBasedHealthcare #HealthEconomics #OutcomesResearch #ISPOR

[Ziplitics @ziplitics]

Three years ago today, we started saving lives by eliminating delays in research.

Happy Founder's Day to the entire Ziplitics team*💜
*Not all captured in this photo

[Ziplitics @ziplitics]

🤖 The 𝐑𝐀𝐈𝐒𝐄 recommendations provide an important framework for using AI transparently and responsibly within evidence-synthesis workflows.

Want to learn how to apply AI responsibly in HEOR & evidence generation? https://t.co/zAhUcBvKGS

#HEOR #HTA #AI #XAI #MarketAccess

[Ziplitics @ziplitics]

🔬𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐬𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐟𝐢𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐬𝐭𝐮𝐝𝐢𝐞𝐬 & 𝐢𝐧𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐰𝐢𝐭𝐡 𝐦𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐫𝐢𝐠𝐨𝐫.
Ledinger et al 2026 Study -> https://t.co/kpfZlUHgrn #Delphi #Research

[Ziplitics @ziplitics]

Ziplitics is proud to welcome Dr. Rishi Saripalle as our new Scientific Advisor!
Dr. Saripalle brings deep expertise in biomedical and healthcare informatics, with a research focus on #ML. Welcome to the team, Rishi. 🤖🔬
#XAI #AI #literaturereviews #systematicreviews

[Ziplitics @ziplitics]

Ziplitics is proud to welcome Jason Markworth as our Sales Advisor. 🎉

Jason brings over 15 years of experience in clinical sales, leadership and customer engagement across #medicaldevices and #healthcare technologies. His background gives him a practical view of what matters most to researchers, and how evidence shapes the way decisions get made in healthcare worldwide.

After spending time with the team and seeing how LRN works, Jason will be helping us connect the dots between what researchers are capable of now and what’s possible when technology speeds up access to clinical evidence without cutting corners.

We’re glad to have Jason’s voice in the team as we continue building explainable AI (#XAI) solutions that meet the real-world needs of people saving lives in healthcare. 🤖🔬

#literaturereviews #AI #systematicreviews

[Dr. Tod Brindle @cTodBrindle]

@ziplitics we are about to change research in academia, medtech, pharma and more! https://t.co/eIrDmr0x6n

[Ziplitics @ziplitics]

Last month, Ziplitics forever changed the world of medical research. The Literature Review Network (LRN), is the first AI to surpass previously set benchmarks in conducting PRISMA-compliant Systematic Literature Reviews (SLRs) in <4 hours.

LRN demonstrated 91.51% similarity to reviews conducted by a team of international medical experts, automating and streamlining the entire #literaturereview process, generating novel clinical practice recommendations in a fraction of the time. What takes between 5 to 18 months to complete, LRN completed in <4 hours.

LRN has also achieved these highly accurate results without training by a subject matter expert.

LRN excels in efficiency and accuracy, and offers #explainability, ensuring compliance with current EU and upcoming US regulations. This is a significant achievement for one of the most significant R&D processes in the life sciences.
📚 Dive deeper into our study: https://t.co/TCACIlTH6K

A special thank you to Dr. Tod Brindle, Jessica Bah Rösman, and Dr. Andreas Enz for their invaluable data contributions that enabled us to replicate this SLR, which is currently under peer review.

For more about Ziplitics and our innovative solutions, visit: https://t.co/qaS1EbHJ8a

#AI #ExplainableAI #MedicalResearch #Innovation #LRN #LiteratureReview #SystematicReview #Pharmaceutical #MedicalDevices #LifeSciences #MedicalCommunications #MedicalAffairs #ResearchMethods

[Ziplitics @ziplitics]

🤖🏥💊Can responsible and explainable AI accelerate medical device development and drug discovery?

Learn how it can in the FDA's Digital Health Center of Excellence (DHCoE) recent blog post!

📖Read it here: https://t.co/3ICEpxUZiM

#FDA #Explainability #AI #XAI #Healthcare #DigitalHealth #DrugDiscovery #MedicalDevice

[Ziplitics @ziplitics]

🔍 What is Explainability and Why Does it Matter?

🤖 Explainability in AI is crucial for ensuring that the decisions made by algorithms are understandable and transparent to the AI's users. The FDA and NIST define explainable AI models as "those that provide evidence or reasons for their outputs, which are both understandable to users and accurately reflect the model's process."

🏥In healthcare, explainability is essential for enabling clinicians and patients to comprehend the decision-making processes of AI algorithms. This understanding empowers them to guide or inform the AI to make more reliable and accurate decisions, ultimately improving patient care and outcomes.

But why is explainability so important? Even if a model is accurate and its results can be verified, the lack of explainability can lead to blind trust in the AI's decisions. Both humans and machines are prone to errors, and without transparent evidence to assess the model's quality, trusting it at face value could have serious consequences. In healthcare, this could result in reduced quality of life, or even loss of human life. In research, it could lead to wasted resources and misguided clinical decisions based on faulty evidence.

⚠️Recognizing the significance of explainability, regulatory bodies such as the FDA's CDER, CBER, and CDRH are actively working to incorporate explainability, as well as accuracy and privacy, into their frameworks and approval processes for digital health technologies and overall AI used in healthcare.

⚖️ On March 5th of this year, the "Federal AI Governance and Transparency Act" was introduced by the United States' Committee on Oversight and Accountability, which focuses on the federal government's use of AI. In that bill, legislators explicitly state that the "outcomes of artificial intelligence applications are sufficiently explainable and understandable, to the extent practicable, by subject matter experts, users, impacted parties, and others."

🌐The FDA and FTC regulated the "black box" of medicines by requiring drug information to be provided on package inserts, and we are seeing this trend again with medical AI. If you're interested in learning how we are contributing to this transformation, book a demo to see the Ziplitics "AI Package Insert."

🗓️Book a demo: https://t.co/loVKKSwmPo 🗓️

We will soon be in a world where all medical AI are not only accurate, but also transparent, understandable, and accountable. #explainability #AI #explainableAI #Digitalhealth #DHT #Healthtech #FDA #literaturereview

Links to:
> NIST's "Four Principles of Explainable Artificial Intelligence" https://t.co/hum9kf2a9u

> FDA's discussion paper on a framework for medical AI, "Using Artificial Intelligence & Machine Learning in the Development of Drug and Biological Products" https://t.co/040zPfWyQz

> Congress' proposed bill, "Federal AI Governance and Transparency Act" https://t.co/og8zQJQPEp

[Ziplitics @ziplitics]

#AI is changing #pharmacy practice and education. This past week was the @AACPharmacy's first ever AI institute, where speakers explored AI use in pharmacy.

To learn more about our “AI Package Insert," and how LRN could improve your workflows, visit (https://t.co/TDemJalHhG).

[AACP @AACPharmacy]

Systematic literature reviews in minutes, not months: @ziplitics allows you to automate the entire literature review pipeline, generating systematic literature reviews, scoping literature reviews, meta-analyses, and more.

For more: https://t.co/x8rY4Jh1Ck

[Ziplitics @ziplitics]

#APhA2024 is in 2 days! We are excited to showcase research we have produced using our explainable AI, LRN. The results from a recent client study are profound.

LRN went from hypothesis to a complete literature review in 435 minutes; it conducted research like an expert...

[Ziplitics @ziplitics]

Quality research demands time. At Ziplitics, we’re helping professionals save lives by eliminating delays in research. Learn more about what we are doing for healthcare by visiting us at #APhA2024 in Orlando, FL, March 22nd - 25th. We're Booth 108. See you there! #XAI #pharma