AIMC Topic: Medical Oncology
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Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.
JCO clinical cancer informatics
Nov 1, 2020
Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction with radiographic imaging techniques, have been linked to outcome, progression, and survival for a number of cancers. The gold standard of sta...
Machine Learning in Oncology: Methods, Applications, and Challenges.
JCO clinical cancer informatics
Oct 1, 2020
Machine Learning in Oncology: What Should Clinicians Know?
JCO clinical cancer informatics
Sep 1, 2020
The volume and complexity of scientific and clinical data in oncology have grown markedly over recent years, including but not limited to the realms of electronic health data, radiographic and histologic data, and genomics. This growth holds promise ...
[Artificial intelligence : What do urologists need to know?].
Der Urologe. Ausg. A
Sep 1, 2020
In the past 10 years, the methods of artificial intelligence (AI) have experienced breakthroughs that have opened up a multitude of new fields of application for information technology. AI is particularly strong in those areas where patterns have to ...
[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].
Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
Sep 1, 2020
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2)...
Concordance between treatment recommendations provided by IBM Watson for Oncology and a multidisciplinary tumor board for breast cancer in China.
Japanese journal of clinical oncology
Aug 4, 2020
OBJECTIVE: Watson for Oncology (WFO), an artificial intelligence from IBM Corporation, can provide a treatment plan by analyzing patient's disease characteristics. The present study was performed to examine the concordance between treatment recommend...
Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China.
World journal of surgery
Jun 1, 2020
BACKGROUND: With the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections have developed. However, the surgical indications remain controversial especially for some complex o...
[Establishment and its application of Chinese society of clinical oncology artificial intelligence system (CSCO AI)].
Zhonghua yi xue za zhi
Feb 18, 2020
[Artificial intelligence-guided precision medicine in hematological disorders].
[Rinsho ketsueki] The Japanese journal of clinical hematology
Jan 1, 2020
Precision medicine in oncology uses genomic data to provide the right intervention in the right patients at the right time. For this purpose, next-generation sequencing (NGS) is an indispensable tool. However, further innovations are necessary, inclu...
Applications of artificial intelligence in neuro-oncology.
Current opinion in neurology
Dec 1, 2019
PURPOSE OF REVIEW: To discuss recent applications of artificial intelligence within the field of neuro-oncology and highlight emerging challenges in integrating artificial intelligence within clinical practice.
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