AI Articles and Analysis in Healthcare

Explore articles and analysis related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.

Business Intelligence in Pharma and Life Sciences - Current Applications

Business Intelligence in Pharma and Life Sciences – Current Applications

Business leaders in pharma and life sciences have more specific business intelligence needs than peers in other industries. In addition to common business drivers like marketing, profit and loss, and customer churn, pharmaceutical companies need information regarding patients and clinical trial results.

Machine Learning in Asian Pharmaceuticals - Current Applications

Machine Learning in the Asian Pharmaceutical Sector – Current Applications

McKinsey estimated that embarking on digital transformation to restructure value chains and drive R&D innovation across the pharmaceutical industry could be worth $50–150 billion of earnings before interest, taxes, depreciation, and amortization. In particular, machine learning is likely to continue finding a place in the pharmaceutical industry. Pharmaceutical companies have found applications for machine learning ranging from drug discovery to clinical trial retention.
The State of AI in the Asian Pharmaceutical Industry
AI seems to be making its way into the pharmaceutical space in Asia over the last two or three years, particularly in China and Japan. For the most part, the companies offering or using AI for drug discovery are just starting to acquire funding and talent. XtalPi seems to have the highest density of talent with a decent likelihood of being able to work with machine learning.

Computer Vision for Medical Diagnostics in the Chest Area

Computer Vision for Medical Diagnostics in the Chest Area

Episode Summary: Recently, we were called upon by the World Bank to do a good deal of research on the potential of applying artificial intelligence to health data in the developing world. Diagnostics was a very big focus of the information that we presented. It appears as though diagnostics is an area of great promise with regards to AI, and that's what we're focusing on in this episode the podcast.

Machine Learning in Orthopedics - Current Applications

Machine Learning in Orthopedics – Current Applications

There are few companies claiming to offer artificial intelligence solutions to orthopedics companies. We found that these solutions are intended to help orthopedics companies with at least one of the following business problems:

AI and IoT in Healthcare - Current Applications and Possibilities

AI and IoT in Healthcare – Current Applications and Possibilities

Sensors and mobile devices are in many ways working with AI software for business intelligence purposes in a few industries, including insurance and oil and gas. In the healthcare space, mobile devices and wearables allow patients to receive information on possible diagnoses for their symptoms and to monitor metrics such as their heart rate.

The Current State of Machine Learning for Medical Transcription

Machine Learning for Medical Transcription – Current Applications

There are several companies claiming to offer AI-based medical transcription software, specifically speech recognition software, to hospitals and healthcare companies. We found that these solutions are intended to help hospitals and healthcare companies with medical transcription in different forms, transcribing speech into text in order to fill out and update patient medical records in electronic health record (EHR) and electronic medical record (EMR) databases.
Machine Learning for Medical Transcription - Insights Up Front
We can’t seem to find evidence that the prominent companies offering speech recognition software for medical transcription have what we would expect in terms of talent at their company, except for Nuance Communications. It isn’t clear how exactly their solutions could work without natural language processing, a kind of artificial intelligence. Nuance employs many data scientists with PhDs and Master’s degrees in computer science and hard sciences like physics. This is generally what we look for when it comes to vetting a company on their claims to leveraging artificial intelligence and cutting through the marketing hype we so often see on AI vendor websites.

AI for Electronic Health Records (EHRs) and Electronic Medical Records (EMRs)

AI for Electronic Health Records (EHRs) and Electronic Medical Records (EMRs)

There are several companies claiming to offer AI solutions to healthcare companies, as we've explored extensively in our past reports. In this particular report, we focus on AI as it pertains to working with electronic health records (EHRs) and electronic medical records (EMRs). AI vendors offer solutions to hospitals and clinics with a variety of functions.

Emerj Content Lead Presented at the NITI Aayog-ORF AI for All Conference

Emerj Content Lead Spoke at the NITI Aayog-ORF AI for All Conference

Event Title: NITI Aayog-ORF AI for All Conference

Event Host: NITI Aayog, Observer Research Foundation

Healthcare

Explore articles and analysis related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.