Ehud Reiter

JULY 31, 2023

IBM then tried to commercialise Watson, under the tag “cognitive computing”; I think it spend billions on this. One project which was mentioned in almost all of the ones I saw was a system which would help doctors treat cancer. The system was very impressive for the time, a striking achievement!

LLM 189

LLM Machine Learning OpenAI AI 189

IBM Journey to AI blog

OCTOBER 16, 2023

AI-enabled computer vision is often used to analyze mammograms and for early lung cancer screening. Doctors evaluating mammograms for breast cancer miss 40% of cancers, and ML can improve on that figure. ML is sometimes used to examine historical patient medical records and outcomes to create new treatment plans.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

IBM Journey to AI blog

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

Computer Vision 218

Computer Vision Automation Robotics AI 218

Marktechpost

AUGUST 13, 2023

Computed tomography (CT) images must accurately segment abdominal organs and tumors for clinical applications like computer-aided diagnosis and treatment planning. A generalized model that can handle numerous organs and illnesses simultaneously is preferred in real-world healthcare circumstances.

AI Researcher 52

AI Researcher AI Research ML AI 52

John Snow Labs

MAY 3, 2024

For example, a named entity recognizer annotator might identify and tag entities such as people, organizations, and locations in a text document, while a sentiment analysis annotator might classify the sentiment of the text as positive, negative, or neutral. .""") It is very efficient in large amounts of data.

NLP 52

NLP Automation Natural Language Processing Large Language Models 52

John Snow Labs

MAY 8, 2024

This individualized approach to diagnosis and treatment has the potential to transform healthcare by enabling treatments that’re as unique as the patients themselves. It also involves streamlining processes reducing the time between diagnosis and treatment and deepening our understanding of disease mechanisms.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40