LAMEA Artificial Intelligence in Diagnostics Market

LAMEA Artificial Intelligence in Diagnostics Market By Diagnosis Type (Radiology, Oncology, Neurology, Cardiology, Chest & Lungs, Pathology and Other Diagnosis Types), By Component (Services, Software and Hardware), By Country, Industry Analysis and Forecast, 2020 - 2026

Report Id: KBV-4508 Publication Date: August-2020 Number of Pages: 81
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Market Report Description

The Latin America, Middle East and Africa Artificial Intelligence in Diagnostics Market would witness market growth of 28.7% CAGR during the forecast period (2020-2026). Early diagnosis of any chronic condition is also effective in reducing medication compilations. This helps to decide on treatment protocols. There are numerous diagnosis and recovery guidelines that show that artificial intelligence is a health benefit. The goal of artificial intelligence is to make computers more effective in solving difficult health problems, and by using computers, businesses can analyze data gathered by diagnosing various chronic diseases. Some of the fields covered will show how artificial intelligence is helpful in the diagnosis and treatment of multiple chronic diseases.

Increasing demand for reducing treatment costs, optimizing patient care, and reducing computer downtime is one of the reasons driving the use of artificial intelligence in diagnostics. In addition, increasing demand for low-cost diagnostic techniques, effective and efficient analysis of findings, and rapid generation of diagnostic data are few other factors expected to drive the diagnostic AI market.

Throughout health care, machine vision has demonstrated important use in medicine and in the treatment of a few diseases. Robotic surgery uses machine vision to identify distances or a particular body part. Computer vision applications have accurate diagnostic tests while eliminating false positives. Technology can potentially eliminate the need for redundant surgical procedures and expensive therapies. Computer vision algorithms that are developed using a large amount of training data will predict the slightest appearance of a disease that human doctors can overlook due to their sensory limitations.

Based on Diagnosis Type, the market is segmented into Radiology, Oncology, Neurology, Cardiology, Chest & Lungs, Pathology and Other Diagnosis Types. Based on Component, the market is segmented into Services, Software and Hardware. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

Free Valuable Insights: Artificial Intelligence in Diagnostics Market in LAMEA is expected to register a CAGR of 28.7% during the forecast period (2020-2026)

The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include General Electric (GE) Co. (GE Healthcare), Siemens AG (Siemens Healthineers), Aidoc Medical Ltd., AliveCor, Inc., Imagen Technologies, Inc., VUNO, Inc., IDx Technologies, Inc., NovaSignal Corporation, Riverain Technologies, LLC, and Zebra Medical Vision Ltd.

Scope of the LAMEA Artificial Intelligence in Diagnostics Market Analysis

Market Segmentation:

By Diagnosis Type

  • Radiology
  • Oncology
  • Neurology
  • Cardiology
  • Chest & Lungs
  • Pathology and
  • Other Diagnosis Types

By Component

  • Services
  • Software and
  • Hardware

By Country

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Companies Profiled

  • General Electric (GE) Co. (GE Healthcare)
  • Siemens AG (Siemens Healthineers)
  • Aidoc Medical Ltd.
  • AliveCor, Inc.
  • Imagen Technologies, Inc.
  • VUNO, Inc.
  • IDx Technologies, Inc.
  • NovaSignal Corporation
  • Riverain Technologies, LLC
  • Zebra Medical Vision Ltd.
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