AI News, Artificial intelligence in digital pathology — new tools for diagnosis ... artificial intelligence

PAIGE

Paige aims to leverage cutting-edge AI and a vast, proprietary dataset to provide powerful new insights to pathologists, researchers, and pharmaceutical development teams.​

150 Startups Using Artificial Intelligence in Drug Discovery

Some time ago, I wrote about how we're now in the long-tail of machine learning in drug discovery.

I noted that we're moving past generalist applications of AI such as IBM Watson's to more specific, purpose-built tools.

This got me thinking: What are all the startups applying artificial intelligence in drug discovery currently?

Accordingly, I did some research and developed the following list, which I have grouped roughly by research phase.

3 Ways Artificial Intelligence Is Transforming Healthcare (Part 1)

Healthcare is one of the oldest industries in the world, and it’s obviously not going anywhere anytime soon.

Although radiologists are known to work in a separate part of the hospital, Dr. Golby says, “We want to bring together the diagnostic imaging team with the surgeon or interventional radiologist and the pathologist.

While bringing together the radiologist to join the rest of the surgical and pathological teams, it’s important that AI-enabled tools also make their way into the room.

And, Dr. Golby says, “If we want the imaging to give us information that we presently get from tissue samples, then we’re going to have to be able to achieve very close registration so that the ground truth for any given pixel is known.”

By adding more data and weight to each pixel, doctors could understand how tumors grow and shrink, how the body is responding to treatment, and what the body is experiencing in other areas.

We’re now getting to the point where we can do a better job of assessing whether a cancer is going to progress rapidly or slowly and how that might change how patients will be treated based on an algorithm rather than clinical staging or the histopathologic grade—that’s going to be a huge advance.”

For patients that can’t move, speak, or interact and engage with their physician, relaying information quickly and accurately can be nearly impossible –

Dr. Hochberg adds, “By using a BCI and [AI], we can decode the neural activates associated with the intended movement of one’s hand, and we should be able to allow that person to communicate the same way as many people in this room have communicated at least five times over the course of the morning using a ubiquitous communication technology like a tablet computer or phone.”

Applications of Digital Pathology

The Inaugural Applications of Digital Pathology conference will review three main areas of implementation - in primary diagnosis in the U.S. and abroad, in telepathology and in combination with AI and machine learning tools.

with the influx of new technologies and the first FDA-approved platform, and the variety of hardware solutions and software tools is an indication that creativity and investment is transforming the pathology landscape.

intelligence regulation will require an evolving regulatory strategy that abandons traditional normative boundaries, and instead will require shared governmental and stakeholder involvement.

will attempt to shed light on challenges and opportunities of image search for retrieving useful information from large archives of histopathology images.

We will share our experience in utilizing digital tools and will demonstrate methods and applications of digital imaging along with augmented human intelligence to effectively improve the workflow in the practice of hematopathology.

it will impact most of its aspects - from sample collection to diagnosis.

to Chinese pathologists, patients and clinicians to offer guidance on diagnostic and prognostic findings to assist in therapeutic decision-making for international patients.

these implementations have been primarily point-to-point connections for the sharing of the images in isolation of pathology information or medical record information.

and clinical information still faces many challenges, particularly if you wish to scale this to international partners.

and highlight lessons learned along the way of planning such a network.

Biomedical Informatics, University of Pittsburgh Medical Center The use of telepathology for frozen sections (intraoperative consultations) has been increasing due to limited time and availability of pathologists, and the demand for increased access to pathology subspecialists in difficult cases.

frozen sections can be difficult to handle remotely due to time constraints and artifacts.

of Medicine Michael Riben, MD, Director of Informatics, MD Anderson Cancer Center Liron Pantanowitz, MD, Professor, Pathology &

The Ohio State University 4:30 Implementing A Digital Pathology Workflow for Primary Diagnosis: A 2-Year Report Card Anil Parwani, MD, PhD, MBA, Professor of Pathology and Biomedical Informatics, Vice Chair of Anatomic Pathology, Director of Pathology Informatics;

The Ohio State University In recent years, whole slide imaging (WSI) has been increasingly used to digitize large numbers of slides automatically, rapidly and at high resolution.

analysis.

quality and financial opportunities.

5:00 Whitepapers of Digital Pathology from the Digital Pathology Association Douglas Joseph Hartman, MD, Associate Professor of Pathology and Director of Pathology Informatics, University of Pittsburgh Medical Center The first approval of a digital pathology system has begun the transition of pathology from analog to digital.

have been publishing whitepapers on the conversion of the discipline of pathology to a digital format.

and our experiences since its implementation in September 2016.

to facilitate automated tumor detection (in prostate and breast cancer) and detection microorganisms (Helicobacter pylori).

tools.

9:30 Building the Foundation of Digital Pathology in the Diagnostic Setting: Guiding Principles and Practical Issues Chee Leong Cheng, MBBS, FRCPath, FRCPASingapore, Senior Consultant, Anatomical Pathology;

end-to-end accountability of specimen assets and derivatives, thorough view of electronic information flow closely correlated with the workflow, sound validation planning and execution, and continuous monitoring and sustainability

by building a “digital pathology service”

Holdings

PhD, Senior Director, Public Policy &

and make data-driven business decisions.

Philips and PathAI to improve breast cancer diagnosis with artificial intelligence

Philips and PathAI team up to improve breast cancer diagnosis using artificial intelligence technology in 'big data' pathology research. Royal Philips, a global ...

Philips and PathAI to improve breast cancer diagnosis with artificial intelligence

Philips and PathAI team up to improve breast cancer diagnosis using artificial intelligence technology in 'big data' pathology research. Royal Philips, a global ...

MD vs. Machine: Artificial intelligence in health care

Recent advances in artificial intelligence and machine learning are changing the way doctors practice medicine. Can medical data actually improve health care?

A.I. vs. Pathologists: Survival of the Fittest | Sahir Ali | TEDxSugarLand

Artificial Intelligence and it's promise in predicting cancer outcome: every patient deserves their own equation. Dr. Sahirzeeshan Ali is a research scientist at the ...

Digital pathology & Computational pathology went from “it will happen" to “it's happening right now”

Dr. John Gilbertson, Associate Chief of Pathology at Mass General – Department of Pathology in Boston shares his view of digital pathology and computational ...

Pathology AI - Part I

Pathology AI by Flagship Biosciences Over the past few years, Deep Learning has created quite a hype about Artificial Intelligence (AI) ..

Deep learning to help accuracy and efficiency of histopathological diagnosis

ibelieve - Jeroen van der Laak, Associate Professor Radboud University Medical Center in Nijmegen, The Netherlands talks about the use of artificial ...

Digitize findings. Expertise in the network.

"To digitize histological samples, to discuss them live with external pathologists and even being able to show them virtually in tumor boards is a challenge in ...

Visiopharm AI and deep learning webinar: The next step forward in Digital Image Analysis Software

AI and Deep Learning in Image Analysis Software. Exciting times ahead! Watch this webinar for the next step forward in Digital Pathology and augmented ...

Claire Weston, Reveal Biosciences: How AI impacts pathology

Claire Weston with Reveal Biosciences on how AI impacts pathology: "We've had a lot of impact so far in research and certainly research in clinical trials, like I ...