As more and more companies launch AI-powered assistive and autonomous diagnostic software products, care providers will be increasingly called upon to evaluate them. There are standard performance metrics vendors provide, and I will be stepping through how those values can be used to compare and select products. There are many other considerations such as workflow integration and processing speed, but before you even get into that, you need to know how much predictive power the system has. As much as possible, I will highlight purchasable products to anchor the options around what is presently possible for care providers to use…

Spectrum of Conditions and Vendors

With the adoption of digital health over the last decade, medical records have moved from being mostly on paper to being nearly completely digitized. Electronic Health Record vendors as well as healthcare focused data analytics firms have been steadily increasing their predictive capabilities for clinical and operational improvements with these EHR datasets. In this article, I’ll focus on the clinical applications, covering the spectrum of conditions and providers. I’ll also be referencing and sharing a catalogue I created for care providers to be able to to identify available analytics tools. …

By Trevor Z Hallstein , Healthcare Product Lead at Swish Labs


This article reviews a catalog of 108 automated diagnostic tools available for use that rely on AI-driven image classification and then proceeds with a discussion around the implications for patients and providers. Radiology use cases are the primary focus. Initially brought to market as computer-aided detection, the generation of these tools developed over the last 5 years has meaningfully better performance from applying advances in deep learning models to image classification.

Computer-aided detection.

It is springtime for the automatic diagnosis of health issues, with green shoots powered by advances in genomics…

Some define it as the new internet. Stakeholders across the board are striving to get a grasp on this new technology.

What is Blockchain really about?

This primer will tell you all you need to know about Blockchain.


It all started here. Bitcoin is a cryptocurrency. In other words, it is a decentralized and dematerialized currency. The currency was created in 2008 by Satoshi Nakamoto. The aim of Bitcoin was initially to offer an alternative to the centralized institutional banking system. Through this new system, users have access to money in a more direct way. …

Reviewing documents has historically been a manual undertaking. It usually involves tediously reading possibly large amounts of text only to look for specific information.

In many cases, obtaining summaries of all this text that extract only the information we need would save tremendous time.

Lawyers, real estate brokers, HR specialists for employment, hospital staff, financial brokers, etc. all share a common goal: to gain visibility into their documents.

In this post, we focus on how AI can help businesses gain contract visibility.

Humans and contracts.

Contracts are a powerful way of creating trust between two or more parties. …

Blockchain technology emerged with Bitcoin in 2009, at first as a solution for decentralized digital currencies.

It quickly became clear that Bitcoin’s main contribution, namely the fact that it allows the trustless maintenance of a replicated ledger of transactions, even in the presence of malicious network participants, was useful for many other applications. These include enterprise application, in which collaborating companies need to track assets in a common infrastructure, without fully trusting each other.

However, enterprise solutions are often very different in nature to public applications, such as cryptocurrencies.

This has led to two fundamentally different types of blockchains: public…

Blockchain technology has the potential to disrupt and fundamentally transform the financial world.

With the advent of Bitcoin as an alternative currency and ICOs raking in billions of dollars, the blockchain world has been on hyperactive mode for the last 4–5 years.

But more than cryptocurrencies, enterprise adoption of blockchain has generated strong interest from major players.

Though tech businesses should have a more natural affinity for blockchain technology, it is traditional financial services businesses that have taken the lead in incorporating blockchain in their business operations.

An article in Euromoney puts it straightforwardly.

Data today: The Wild West.

If you have digital tracks, the latest revelation of corporate data intrusion will leave you shaking in them.

According to a newly released Oxford University study, Android is a data monster with a voracious appetite for your data. The mobile operating system with 85 percent market share is harvesting and sharing data from 90 percent of the apps running on its OS. More disconcertingly, 43 percent of these apps transfer data to third parties, including Facebook and Twitter.

Such data intrusion is characteristic of the current age of data. …

Thou shall treat the sick.

Back at the time of the ancient Greeks, the practice of medicine was sealed by the Hippocratic Oath that ensures physicians respected a certain set of ethics.

What the oath also reveals is the ruling paradigm of medicine at that time — a practice that heals the sick (“Into whatsoever houses I enter, I will enter to help the sick […]”).

Considering that modern medicine is in the lineage of Greek learnings of the practice, it is not surprising that the dominant mindset has been carried on: modern medicine is practiced as a healing art, based on a process where…

Machine Learning (ML) left computer science labs to integrate business operations, marketing, web platforms, utilities, and our everyday devices.

You may not know it, but chances are you have been interacting with machine learning more often than you think: the chatbox of that online store you were interacting with, Siri, product recommendations on Amazon or GMaps updates on public transportation delays.

We interact with machine learning, but little do we know about this revolutionary technology.

Here is an introduction to the technology of the future.

Machine Learning:

Machine learning is a subdivision of Artificial Intelligence. It is the process of teaching a…

Swish Team 💫

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