The AIAPGET 2026 Application Correction Window is now open. Candidates can edit details in the permitted fields from 01 August to 02 August 2026 (up to 11:50 PM). Review your application carefully and complete all eligible corrections within the stipulated timeline. #AIAPGET2026# #NTA# #AYUSH# #ApplicationCorrection# #MedicalEducation#

What makes The Calcium Lab a truly meaningful Medical Education course? For attendees of The Calcium Lab, it’s the confidence that comes from deeply understanding calcified lesions and knowing how to treat them effectively. From the latest edition in Verona, listen to participants’ feedback and how this learning experience is designed to support real-world practice. 👉 Interested in upcoming Calcium Lab courses? Contact your local Shockwave sales representative to learn more. #ShockwaveIVL# #TheCalciumLab# #MedEd# #CalcifiedLesions# US Rx only. Safety Info:  Product availability may vary by country.

.@SecKennedy recently visited the @UKYMedicine to meet with students and university leaders working to put nutrition at the center of medical education. Kentucky has now achieved full participation in the @HHSGov Nutrition Education Initiative, with every medical school in the Commonwealth committed to providing at least 40 hours of nutrition education — or a competency equivalent — throughout medical training. The University of Kentucky helped lead the way, incorporating culinary medicine into its curriculum and preparing the next generation of physicians to understand the critical role food plays in preventing and managing chronic disease. To Make America Healthy Again, we must give future doctors the tools to help their patients live healthier lives.

📣New @hoh_pod: @stephenkraus & @halletecco talk with @StanfordMed's Dean, Dr. Lloyd Minor on how AI is reshaping medical education, why tumor boards no longer start with humans, and what's still blocking precision medicine. 🎧Listen:

TL;DR: Clinical AI benchmarking has a core problem — real EHRs can't be shared and their labels aren't verifiable. This paper solves it with a fully synthetic hospital, and frontier models still fall short of top physicians. Title: Synthetic Hospital: An Open, Verifiable, Physician-Validated Longitudinal EHR Benchmark URL: Points 🏥 Built from medical education materials into 1,268 patients and 5,602 encounters, fully synthetic and PHI-free so it can be shared openly 🔗 Diagnoses, findings, and temporal relations are deterministically grounded in ICD-10-CM/SNOMED CT/LOINC, with labels derived mechanically from a knowledge graph 👨‍⚕️ Physicians distinguished synthetic from real charts at just 53% accuracy — essentially chance 📊 Across 10 models on 5 tasks, the best patient-diagnosis score was Kimi 2.5-thinking at 0.732 severity-weighted F1, matching average physician performance ⚠️ Still well below top physicians (0.89); every model missed roughly half the findings in summarization tasks 🔁 Swapping the generator model changed scores by ≤0.05, confirming it measures real clinical state, not generation artifacts Feels significant to finally have a benchmark that can measure clinical LLMs honestly, without a privacy tax. #MedicalAI# #LLMBenchmark#

Over the last 12 years, India has worked to make quality healthcare more affordable and accessible. We feel proud when we are known as the nation with the world’s largest healthcare programme, Ayushman Bharat, which provides top-quality healthcare to the most vulnerable. Other efforts like PM Bharatiya Jan Aushadhi Pariyojana have made medicines affordable. The prices of stents and knee implants have become affordable and this has helped many people. At the same time, medical education has become more accessible to people due more institutions and seats being available. We will keep building on this ground covered so far in order to build a healthy India. #12YearsOfSwasthBharat#