Research

Virtual Care Works Best when Patients See their Own Family Doctor

Compared to patients who had a virtual visit with their own family doctor, those who received virtual care from a doctor outside of their family care team were 66 percent more likely to visit the emergency department within seven days, according to new research.

The study, led by researchers at the University Health Network (UHN), Unity Health Toronto, and ICES, also showed that patients receiving virtual care outside of an existing family doctor-patient relationship were 25 percent more likely to have an in-person visit and 88 percent more likely to have another virtual visit within seven days.

AI as Therapeutic Support

The face is a mirror for a person's emotional state. The interpretation of facial expressions as part of psychotherapy or psychotherapeutic research, for example, is a very effective way of characterizing how a person is feeling in that particular moment. Back in the 1970s, psychologist Paul Ekmann developed a standardized coding system to assign basic emotions such as happiness, disgust or sadness to a facial expression in an image or video sequence.

Clinicians could be Fooled by Biased AI, Despite Explanations

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data.

Given the very real life and death risks of clinical decision-making, researchers and policymakers are taking steps to ensure AI models are safe, secure and trustworthy - and that their use will lead to improved outcomes.

AI Chatbot Shows Potential as Diagnostic Partner

Physician-investigators at Beth Israel Deaconess Medical Center (BIDMC) compared a chatbot's probabilistic reasoning to that of human clinicians. The findings, published in JAMA Network Open, suggest that artificial intelligence could serve as useful clinical decision support tools for physicians.

Battle of the AIs in Medical Research: ChatGPT vs Elicit

Can AI save us from the arduous and time-consuming task of academic research collection? An international team of researchers investigated the credibility and efficiency of generative AI as an information-gathering tool in the medical field.

The research team, led by Professor Masaru Enomoto of the Graduate School of Medicine at Osaka Metropolitan University, fed identical clinical questions and literature selection criteria to two generative AIs; ChatGPT and Elicit.

Can AI Improve Life Science?

Artificial intelligence (AI) may attempt to mimic the human brain, but it has yet to fully grasp the complexity of what it means to be human. While it may not truly understand feelings or original creativity, it can help us better understand ourselves - especially our physical bodies in health and in disease, according to a series of articles recently published by the journal Quantitative Biology.

New Framework for Using AI in health Care Considers Medical Knowledge, Practices, Procedures, Values

Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging. In a new article, researchers propose a framework for using AI that includes practical guidance for applying values and that incorporates not just the tool's properties but the systems surrounding its use.

Research News

Virtual Care Works Best when Patients See their Own Family Doctor

AI as Therapeutic Support

Clinicians could be Fooled by Biased AI, Despite Explanations

AI Chatbot Shows Potential as Diagnostic Partner

Battle of the AIs in Medical Research: ChatGPT vs Elicit

Can AI Improve Life Science?

New Framework for Using AI in health Care Considers Medical Knowledge, Practices, Procedures, Values

More eHealth News ...

Latest Business News

Latest Research News

Latest Conferences News

Latest Jobs