Jan 04,2022

Smartphone-based application for self-management of patients with colorectal cancer: development and usability evaluation

Self-management is considered essential for improving the treatment and management of colorectal cancer patients. This study was conducted to develop and evaluate the usability of a smartphone-based application for the self-management of patients with colorectal cancer.

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#mobile app

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Jan 17,2022

OncoHost Announces Interim Results From PROPHETIC Trial, Multicenter Assessment Of NSCLC Patient Response To Immunotherapy

OncoHost, a global leader in next-generation precision oncology for improved personalized cancer therapy, announced results from its ongoing multicenter clinical trial, PROPHETIC. These interim results confirm that through proteomic analysis of just one blood test before treatment, OncoHost’s AI platform, PROphet®, can predict response to cancer treatment for non-small cell lung cancer (NSCLC) patients with remarkably high accuracy at three months, six months and one year.

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#ai/software

#platform

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Feb 09,2022

Oncology patients’ communication experiences during COVID-19: comparing telehealth consultations to in-person visits

The COVID-19 pandemic created significant disruptions in cancer care, much of which was transitioned to telehealth. Because telehealth alters the way clinicians and patients interact with one another, this investigation examined patients’ perceptions of their communication with clinicians during the pandemic. In addition to demographic and health-related information, respondents completed measures of patient-centered communication and evaluated how their communication in telehealth sessions compared with in-person visits.

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#telehealth

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Mar 14,2022

Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal

In the United States, national guidelines suggest that aggressive cancer care should be avoided in the final months of life. However, guideline compliance currently requires clinicians to make judgments based on their experience as to when a patient is nearing the end of their life. Machine learning (ML) algorithms may facilitate improved end-of-life care provision for patients with cancer by identifying patients at risk of short-term mortality.

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#ai/software

#ml

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Mar 16,2022

Medtronic says data confirms effectiveness of AI-powered GI Genius in colonoscopy

Medtronic (NYSE:MDT) announced today that study results highlight the effectiveness of its GI Genius intelligent endoscopy module. The study, published in Gastroenterology, found that the use of GI Genius in conjunction with colonoscopy significantly decreases the miss rate (2x) of colorectal polyps and adenomas compared to standard colonoscopy. GI Genius uses AI to help detect colorectal polyps during colonoscopy to potentially prevent colorectal cancer.

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Mar 01,2022

Oncology Peer Review On-The-Go: Ofer Sharon, MD, Discusses OncoHost and PROPHETIC Trial for NSCLC

CancerNetwork® recently spoke with Ofer Sharon, MD, chief executive officer of OncoHost, about interim results from the prospective PROPHETIC trial (NCT04056247) to potentially determine how patients with non–small cell lung cancer (NSCLC) respond to immunotherapy.

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#platform

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Mar 03,2022

Reality check: Real-world evidence to support therapeutic development in hematologic malignancies

In this article in the scientific journal Blood Reviews, COTA researchers and collaborators share their views on the many sources of RWD and how to assess fit-for-purpose for use in RWE generation. They also review promising use cases for RWD, particularly for hematologic malignancies.

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#rwd

#rwe

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Apr 07,2022

Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries

As technology continues to improve, health care systems have the opportunity to use a variety of innovative tools for decision-making, including artificial intelligence (AI) applications. However, there has been little research on the feasibility and efficacy of integrating AI systems into real-world clinical practice, especially from the perspectives of clinicians who use such tools. In this paper, we review physicians’ perceptions of and satisfaction with an AI tool, Watson for Oncology, which is used for the treatment of cancer. Watson for Oncology has been implemented in several different settings, including Brazil, China, India, South Korea, and Mexico. By focusing on the implementation of an AI-based clinical decision support system for oncology, we aim to demonstrate how AI can be both beneficial and challenging for cancer management globally and particularly for low-middle–income countries.

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Apr 08,2022

An AI Model may Predict Elevated Pancreatic Cancer Risk Using EHR

An artificial intelligence (AI) model trained using sequential health information derived from electronic health records (EHR) identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 months, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

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#ai/software

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Apr 25,2022

Using AI to Detect Cancer from Patient Data Securely

The researchers set out to discover whether a form of AI, called swarm learning, could be used to help computers predict cancer in medical images of patient tissue samples, without releasing the data from hospitals.

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