Geoffrey Hinton still believes the potential benefits of artificial intelligence outweigh its potential for destruction.

The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together ...

Doctors say clinical trials are needed to understand more after Ed Patrick identified a potential side effect of a Parkinson's drug.

Doctors say clinical trials are needed to understand more after Ed Patrick identified a potential side effect of a Parkinson's drug.

Background: Generative AI (GenAI) tools, such as OpenAI’s ChatGPT, Google’s Gemini, and Microsoft Copilot, are being adopted across #Health care settings. Despite the popularity of GenAI, empirical data on the extent of adoption by #MentalHealth clinicians in routine psychotherapy practice are scarce. Objective: This study aimed to characterize purposeful GenAI use among #MentalHealth professionals providing psychotherapy, including tools used, purposes, perceived workload effects, and the organizational context surrounding use. Methods: We conducted a cross-sectional online survey between January 13, 2026, and March 30, 2026. A convenience sample of trained #MentalHealth professionals who had provided psychotherapy within the previous 12 months was recruited through professional associations and academic and clinical mailing lists, with snowball dissemination by email. The survey assessed lifetime purposeful GenAI use in psychotherapy practice; tools and purposes of use; perceived work burden reduction; and, for the previous 12 months, employer or professional organization encouragement, prohibition, and participation in AI training. Descriptive statistics were calculated. Univariable logistic regression models were used to examine associations between GenAI use and candidate factors. Variables meeting an entry criterion of P

Sleep duration and stages, including REM and deep sleep, were associated with risk for multiple diseases, with a sleep duration of 6-8 hours showing the greatest benefit.

Digital twins allow doctors to simulate treatment to see what will work best — and the tech has made real strides in cardiology. Oncology remains the bigger challenge.

Larsen and colleagues examined two important issues in the implementation of AI (Transpara, v. 2.1, ScreenPoint Medical BV) in a retrospective study of 200,000 mammograms from BreastScreen Norway. The first issue was automatic breast density assessment into one of four categories: volumetric breast density (VBD) 1-4, roughly corresponding to fatty, scattered, heterogeneously dense, and extremely […]

Canada's physician shortage has been really good for business

Healthcare organisations are automating faster than almost any other sector. The global market for AI in healthcare will see a rise from $36.

Explore the potential of AI-designed medicine in slowing Cellular Aging. Discover how Cellular Aging research could revolutionize future treatments.

Bob Davidson, managing director of Total Doctor, explains that greater access to information does not necessarily produce better-informed decisions.

Elsevier’s Rahul Goyal joins the Healthcare Today Podcast to discuss what clinicians need to know before trusting an AI-generated output.

Scientists at the company announced their first finding: a group of enzymes whose function is unknown.

AI in behavioral health needs clear guardrails to protect privacy, support clinicians, and build patient trust.

Background: In Japan, the 2021 revision to the Medical Practitioners Act formally supported students’ participation in supervised clinical practice. However, monitoring day-to-day clinical experiences across community-based clerkship sites remains challenging. Student-reported digital daily logs and reflection sheets provide complementary descriptive information across such sites. Objective: This study aimed to investigate whether a digital educational data workflow, combining student-reported daily clinical activity logs with human-verified artificial intelligence (#AI) (AI)–assisted reflection coding, can be used to describe clinical learning experiences across distributed community-based clerkship sites. Methods: In this exploratory observational study, we explored variations across placement contexts, including whether sites included community-based attending physicians (CAPs) trained in the university faculty development (FD) program. Data from 112 fifth-year medical students who had completed 3-week community-based clinical clerkships at sites with trained CAPs (n=34) or at sites without trained CAPs (n=78) were analyzed. Students recorded daily experiences of 50 Model Core Curriculum (MCC)–based clinical activities using a Google Spreadsheet–based digital daily log. The primary outcome was the number of student-reported examination-based, lower-risk clinical activity types recorded as performed at least once. Log completion, defined as the presence of any substantive daily log entry, was assessed across eligible student-days, and a classification-independent sensitivity analysis examined all 50 activity items. Reflection sheets were deductively coded according to MCC learning objectives using a human-verified AI-assisted preliminary sorting and candidate-coding workflow. Furthermore, exploratory sensitivity analyses examined the role of the placement context. Results: Daily log entries were available for 1491 (99.6%) of 1497 eligible student-days. Students at sites with trained CAPs had more student-reported examination-based, lower-risk clinical activity types recorded as performed at least once than those at sites without trained CAPs. No statistically significant difference was observed for basic clinical and emergency procedures. The classification-independent analysis across all 50 items showed a similar pattern. Reflection sheet analysis yielded 4097 textual units. Placement category was closely associated with medically underserved placement, home visit exposure, and baseline rural self-efficacy. Conclusions: The digital workflow yielded nearly complete student-reported daily data and described variation in clinical experiences across clerkship sites. These differences should be interpreted as variation across placement contexts rather than evidence of an independent effect of supervision by trained CAPs. Reflection sheets provided complementary descriptive information, and the AI component required human verification.

Join for a conversation with five University of Toronto Translational Research Program alumni as they share their journeys through the program and beyond.

💊 PRiME Seminars in AI and Drug Discovery 🚀 Unlocking the Future of Therapeutics Join us for the next session in our newly launched seminar series exploring…

Learn how researchers have created an ingestible battery that dissolves within weeks and is safer for your health and the environment.

Abu Dhabi’s AI-powered Patient Safety System now links all hospitals, using real-time data to predict risks, prevent harm and improve care across the emirate.