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+enhanced+with+radiologists%27+attention+by+incorporating+eye+gaze+data+alongside+textual+prompts.+Our+approach+leverages+heatmaps+generated+from+eye+gaze+data%252C+overlaying+them+onto+medical+images+to+highlight+areas+of+intense+radiologist%27s+focus+during+chest+X-ray+evaluation.+We+evaluate+this+methodology+in+tasks+such+as+visual+question+answering%252C+chest+X-ray+report+automation%252C+error+detection%252C+and+differential+diagnosis.+Our+results+demonstrate+the+inclusion+of+eye+gaze+information+significantly+enhances+the+accuracy+of+chest+X-ray+analysis.+Also%252C+the+impact+of+eye+gaze+on+fine-tuning+was+confirmed+as+it+outperformed+other+medical+VLMs+in+all+tasks+except+visual+question+answering.+This+work+marks+the+potential+of+leveraging+both+the+VLM%27s+capabilities+and+the+radiologist%27s+domain+knowledge+to+improve+the+capabilities+of+AI+models+in+medical+imaging%252C+paving+a+novel+way+for+Computer+Assisted+Diagnosis+with+a+human-centred+AI.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.372d62fe899c5f0b65eb635956c595fe%3frik%3dfu1fPpONnXOH0Q%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Computer+Vision+On+X-ray+Data&FORM=IRPRST&ck=64C9262751F9512C9B5323D9D3EE01E8&selectedIndex=30&itb=0)
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